HEVCModeDecisionFast
•Download as PPTX, PDF•
0 likes•215 views
1) The document surveys several algorithms for making block mode decisions in HEVC video encoding, including early termination techniques. 2) One algorithm uses a 3-step method including early CU termination based on texture complexity, PU mode decision using downsampling and search, and early RDOQ termination. 3) Another proposes early PU size and mode estimation based on LCU variance and gradients to reduce complexity by selectively enabling prediction hardware modules. 4) A third applies machine learning to find patterns in encoding results to make early splitting decisions for CUs using decision trees trained on attributes like residuals and gradients.
Report
Share
Report
Share
Recommended
Understanding Quality of Experience of Heuristic-based HTTP Adaptive Bitrate ...
Understanding Quality of Experience of Heuristic-based HTTP Adaptive Bitrate ...Alpen-Adria-Universität
Adaptive BitRate (ABR) algorithms play a crucial role in delivering the highest possible viewer’s Quality of Experience (QoE) in HTTP Adaptive Streaming (HAS). Online video streaming service providers use HAS – the dominant video streaming technique on the Internet – to deliver the best QoE for their users. Viewer’s delightfulness relies heavily on how the ABR of a media player can adapt the stream’s quality to the current network conditions. QoE for end-to-end video streaming sessions has been evaluated in many research projects to give better insight into the quality metrics. Objective evaluation models such as ITU Telecommunication Standardization Sector (ITU-T) P.1203 allow for the calculation of Mean Opinion Score (MOS) by considering various QoE metrics, and subjective evaluation is the best assessment approach in investigating the end-user opinion over a video streaming session’s experienced quality. We have conducted subjective evaluations with crowdsourced participants and evaluated the MOS of the sessions using the ITU-T P.1203 quality model. This paper’s main contribution is subjective evaluation analogy with objective evaluation for well-known heuristic-based ABRs.FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machin...
FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machin...Alpen-Adria-Universität
HTTP adaptive video streaming is a widespread and sought-after technology on the Internet that allows clients to dynamically switch between different stream qualities presented in the bitrate ladder to optimize overall received video quality. Currently, there exist several approaches of different complexity for building such a ladder. The simplest method is to use a static bitrate ladder, and the more complex one is to compute a per-title encoding ladder. The main drawback of these approaches is that they do not provide bitrate ladders for scenes with different visual complexity within the video. Moreover, most modern methods require additional computationally-intensive test encodings of the entire video to construct the convex hull, used to calculate the bitrate ladder. This paper proposes a new fast per-scene encoding approach called FAUST based on 1) quick entropy-based scene detection and 2) prediction of optimized bitrate ladder for each scene using an artificial neural network. The results show that our model reduces the mean absolute error to 0.15, the mean square error to 0.08, and the bitrate to 13.5% while increasing the difference in video multimethod assessment fusion to 5.6 points.H2BR: An HTTP/2-based Retransmission Technique to Improve the QoE of Adaptive...
H2BR: An HTTP/2-based Retransmission Technique to Improve the QoE of Adaptive...Alpen-Adria-Universität
HTTP-based Adaptive Streaming (HAS) plays a key role in over-the-top video streaming. It contributes towards reducing the rebuffering duration of video playout by adapting the video quality to the current network conditions. However, it incurs variations of video quality in a streaming session because of the throughput fluctuation, which impacts the user's Quality of Experience (QoE). Besides, many adaptive bitrate (ABR) algorithms choose the lowest-quality segments at the beginning of the streaming session to ramp up the playout buffer as soon as possible. Although this strategy decreases the startup time, the users can be annoyed as they have to watch a low-quality video initially. In this paper, we propose an efficient retransmission technique, namely H2BR, to replace low-quality segments being stored in the playout buffer with higher-quality versions by using features of HTTP/2 including (i) stream priority, (ii) server push, and (iii) stream termination. The experimental results show that H2BR helps users avoid watching low video quality during video playback and improves the user's QoE. H2BR can decrease by up to more than 70% the time when the users suffer the lowest-quality video as well as benefits the QoE by up to 13%.HTTP Adaptive Streaming – Quo Vadis?
This document summarizes an upcoming presentation on HTTP Adaptive Streaming. The presentation will cover content provisioning, delivery, consumption, and end-to-end aspects of HAS, as well as quality of experience. It will introduce ATHENA, a research center focused on adaptive streaming over HTTP and emerging multimedia technologies. The agenda outlines sections on video encoding for HAS, edge computing, network assistance for clients, bitrate adaptation schemes, and quality of experience models. The presenters are Christian Timmerer and Hermann Hellwagner from Alpen-Adria-Universität Klagenfurt.
EPIQ'21: Days of Future Past: An Optimization-based Adaptive Bitrate Algorith...
HTTP Adaptive Streaming (HAS) has become a predominant technique for delivering videos in the Internet. Due to its adaptive behavior according to changing network conditions, it may result in video quality variations that negatively impact the Quality of Experience (QoE) of the user. In this paper, we propose Days of Future Past, an optimization- based Adaptive Bitrate (ABR) algorithm over HTTP/3. Days of Future Past takes advantage of an optimization model and HTTP/3 features, including (i) stream multiplexing and (ii) request cancellation. We design a Mixed Integer Linear Programming (MILP) model that determines the optimal video qualities of both the next segment to be requested and the segments currently located in the buffer. If better qualities for buffered segments are found, the client will send corresponding HTTP GET requests to retrieve them. Multiple segments (i.e., retransmitted segments) might be downloaded simultaneously to upgrade some buffered but not yet played segments to avoid quality decreases using the stream multiplexing feature of QUIC. HTTP/3’s request cancellation will be used in case retransmitted segments will arrive at the client after their playout time. The experimental results shows that our proposed method is able to improve the QoE by up to 33.9%.
PEMWN'21 - ANGELA
ANGELA is an HTTP adaptive streaming and edge computing simulator that was developed to address limitations of other simulators. It focuses on video streaming and edge computing mechanisms. ANGELA imports real radio traces or data from NS-3 for accurate wireless simulations and reduces simulation time. It also simulates various adaptive bitrate algorithms located at the client, edge, or server. ANGELA provides metrics to evaluate streaming quality and supports custom video datasets and machine learning techniques. The developers hope to publicly release ANGELA to evaluate new adaptive streaming and edge computing approaches.
Quality Optimization of Live Streaming Services over HTTP with Reinforcement ...
Quality Optimization of Live Streaming Services over HTTP with Reinforcement ...Alpen-Adria-Universität
Recent years have seen tremendous growth in HTTP adaptive live video traffic over the Internet. In the presence of highly dynamic network conditions and diverse request patterns, existing yet simple hand-crafted heuristic approaches for serving client requests at the network edge might incur a large overhead and significant increase in time complexity. Therefore, these approaches might fail in delivering acceptable Quality of Experience (QoE) to end users. To bridge this gap, we propose ROPL, a learning-based client request management solution at the edge that leverages the power of the recent breakthroughs in deep reinforcement learning, to serve requests of concurrent users joining various HTTP-based live video channels. ROPL is able to react quickly to any changes in the environment, performing accurate decisions to serve clients requests, which results in achieving satisfactory user QoE. We validate the efficiency of ROPL through trace-driven simulations and a real-world setup. Experimental results from real-world scenarios confirm that ROPL outperforms existing heuristic-based approaches in terms of QoE, with a factor up to 3.7×.INCEPT: Intra CU Depth Prediction for HEVC
High Efficiency Video Coding (HEVC) improves the encoding efficiency by utilizing sophisticated tools such as flexible Coding Tree Unit (CTU) partitioning. The Coding Unit (CU) can be split recursively into four equally sized CUs ranging from 64×64 to 8×8 pixels. At each depth level (or CU size), intra prediction via exhaustive mode search was exploited in HEVC to improve the encoding efficiency and result in a very high encoding time complexity. This paper proposes an Intra CU Depth Prediction (INCEPT) algorithm, which limits Rate-Distortion Optimization (RDO) for each CTU in HEVC by utilizing the spatial correlation with the neighboring CTUs, which is computed using a DCT energy-based feature. Thus, INCEPT reduces the number of candidate CU sizes required to be considered for each CTU in HEVC intra coding. Experimental results show that the INCEPT algorithm achieves a better trade-off between the encoding efficiency and encoding time saving (i.e., BDR/∆T) than the benchmark algorithms. While BDR/∆T is 12.35% and 9.03% for the benchmark algorithms, it is 5.49% for the proposed algorithm. As a result, INCEPT achieves a 23.34% reduction in encoding time on average while incurring only a 1.67% increase in bit rate than the original coding in the x265 HEVC open-source encoder.
Recommended
Understanding Quality of Experience of Heuristic-based HTTP Adaptive Bitrate ...
Understanding Quality of Experience of Heuristic-based HTTP Adaptive Bitrate ...Alpen-Adria-Universität
Adaptive BitRate (ABR) algorithms play a crucial role in delivering the highest possible viewer’s Quality of Experience (QoE) in HTTP Adaptive Streaming (HAS). Online video streaming service providers use HAS – the dominant video streaming technique on the Internet – to deliver the best QoE for their users. Viewer’s delightfulness relies heavily on how the ABR of a media player can adapt the stream’s quality to the current network conditions. QoE for end-to-end video streaming sessions has been evaluated in many research projects to give better insight into the quality metrics. Objective evaluation models such as ITU Telecommunication Standardization Sector (ITU-T) P.1203 allow for the calculation of Mean Opinion Score (MOS) by considering various QoE metrics, and subjective evaluation is the best assessment approach in investigating the end-user opinion over a video streaming session’s experienced quality. We have conducted subjective evaluations with crowdsourced participants and evaluated the MOS of the sessions using the ITU-T P.1203 quality model. This paper’s main contribution is subjective evaluation analogy with objective evaluation for well-known heuristic-based ABRs.FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machin...
FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machin...Alpen-Adria-Universität
HTTP adaptive video streaming is a widespread and sought-after technology on the Internet that allows clients to dynamically switch between different stream qualities presented in the bitrate ladder to optimize overall received video quality. Currently, there exist several approaches of different complexity for building such a ladder. The simplest method is to use a static bitrate ladder, and the more complex one is to compute a per-title encoding ladder. The main drawback of these approaches is that they do not provide bitrate ladders for scenes with different visual complexity within the video. Moreover, most modern methods require additional computationally-intensive test encodings of the entire video to construct the convex hull, used to calculate the bitrate ladder. This paper proposes a new fast per-scene encoding approach called FAUST based on 1) quick entropy-based scene detection and 2) prediction of optimized bitrate ladder for each scene using an artificial neural network. The results show that our model reduces the mean absolute error to 0.15, the mean square error to 0.08, and the bitrate to 13.5% while increasing the difference in video multimethod assessment fusion to 5.6 points.H2BR: An HTTP/2-based Retransmission Technique to Improve the QoE of Adaptive...
H2BR: An HTTP/2-based Retransmission Technique to Improve the QoE of Adaptive...Alpen-Adria-Universität
HTTP-based Adaptive Streaming (HAS) plays a key role in over-the-top video streaming. It contributes towards reducing the rebuffering duration of video playout by adapting the video quality to the current network conditions. However, it incurs variations of video quality in a streaming session because of the throughput fluctuation, which impacts the user's Quality of Experience (QoE). Besides, many adaptive bitrate (ABR) algorithms choose the lowest-quality segments at the beginning of the streaming session to ramp up the playout buffer as soon as possible. Although this strategy decreases the startup time, the users can be annoyed as they have to watch a low-quality video initially. In this paper, we propose an efficient retransmission technique, namely H2BR, to replace low-quality segments being stored in the playout buffer with higher-quality versions by using features of HTTP/2 including (i) stream priority, (ii) server push, and (iii) stream termination. The experimental results show that H2BR helps users avoid watching low video quality during video playback and improves the user's QoE. H2BR can decrease by up to more than 70% the time when the users suffer the lowest-quality video as well as benefits the QoE by up to 13%.HTTP Adaptive Streaming – Quo Vadis?
This document summarizes an upcoming presentation on HTTP Adaptive Streaming. The presentation will cover content provisioning, delivery, consumption, and end-to-end aspects of HAS, as well as quality of experience. It will introduce ATHENA, a research center focused on adaptive streaming over HTTP and emerging multimedia technologies. The agenda outlines sections on video encoding for HAS, edge computing, network assistance for clients, bitrate adaptation schemes, and quality of experience models. The presenters are Christian Timmerer and Hermann Hellwagner from Alpen-Adria-Universität Klagenfurt.
EPIQ'21: Days of Future Past: An Optimization-based Adaptive Bitrate Algorith...
HTTP Adaptive Streaming (HAS) has become a predominant technique for delivering videos in the Internet. Due to its adaptive behavior according to changing network conditions, it may result in video quality variations that negatively impact the Quality of Experience (QoE) of the user. In this paper, we propose Days of Future Past, an optimization- based Adaptive Bitrate (ABR) algorithm over HTTP/3. Days of Future Past takes advantage of an optimization model and HTTP/3 features, including (i) stream multiplexing and (ii) request cancellation. We design a Mixed Integer Linear Programming (MILP) model that determines the optimal video qualities of both the next segment to be requested and the segments currently located in the buffer. If better qualities for buffered segments are found, the client will send corresponding HTTP GET requests to retrieve them. Multiple segments (i.e., retransmitted segments) might be downloaded simultaneously to upgrade some buffered but not yet played segments to avoid quality decreases using the stream multiplexing feature of QUIC. HTTP/3’s request cancellation will be used in case retransmitted segments will arrive at the client after their playout time. The experimental results shows that our proposed method is able to improve the QoE by up to 33.9%.
PEMWN'21 - ANGELA
ANGELA is an HTTP adaptive streaming and edge computing simulator that was developed to address limitations of other simulators. It focuses on video streaming and edge computing mechanisms. ANGELA imports real radio traces or data from NS-3 for accurate wireless simulations and reduces simulation time. It also simulates various adaptive bitrate algorithms located at the client, edge, or server. ANGELA provides metrics to evaluate streaming quality and supports custom video datasets and machine learning techniques. The developers hope to publicly release ANGELA to evaluate new adaptive streaming and edge computing approaches.
Quality Optimization of Live Streaming Services over HTTP with Reinforcement ...
Quality Optimization of Live Streaming Services over HTTP with Reinforcement ...Alpen-Adria-Universität
Recent years have seen tremendous growth in HTTP adaptive live video traffic over the Internet. In the presence of highly dynamic network conditions and diverse request patterns, existing yet simple hand-crafted heuristic approaches for serving client requests at the network edge might incur a large overhead and significant increase in time complexity. Therefore, these approaches might fail in delivering acceptable Quality of Experience (QoE) to end users. To bridge this gap, we propose ROPL, a learning-based client request management solution at the edge that leverages the power of the recent breakthroughs in deep reinforcement learning, to serve requests of concurrent users joining various HTTP-based live video channels. ROPL is able to react quickly to any changes in the environment, performing accurate decisions to serve clients requests, which results in achieving satisfactory user QoE. We validate the efficiency of ROPL through trace-driven simulations and a real-world setup. Experimental results from real-world scenarios confirm that ROPL outperforms existing heuristic-based approaches in terms of QoE, with a factor up to 3.7×.INCEPT: Intra CU Depth Prediction for HEVC
High Efficiency Video Coding (HEVC) improves the encoding efficiency by utilizing sophisticated tools such as flexible Coding Tree Unit (CTU) partitioning. The Coding Unit (CU) can be split recursively into four equally sized CUs ranging from 64×64 to 8×8 pixels. At each depth level (or CU size), intra prediction via exhaustive mode search was exploited in HEVC to improve the encoding efficiency and result in a very high encoding time complexity. This paper proposes an Intra CU Depth Prediction (INCEPT) algorithm, which limits Rate-Distortion Optimization (RDO) for each CTU in HEVC by utilizing the spatial correlation with the neighboring CTUs, which is computed using a DCT energy-based feature. Thus, INCEPT reduces the number of candidate CU sizes required to be considered for each CTU in HEVC intra coding. Experimental results show that the INCEPT algorithm achieves a better trade-off between the encoding efficiency and encoding time saving (i.e., BDR/∆T) than the benchmark algorithms. While BDR/∆T is 12.35% and 9.03% for the benchmark algorithms, it is 5.49% for the proposed algorithm. As a result, INCEPT achieves a 23.34% reduction in encoding time on average while incurring only a 1.67% increase in bit rate than the original coding in the x265 HEVC open-source encoder.
WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile D...
Recently, mobile devices have become paramount in online video streaming. Adaptive bitrate (ABR) algorithms of players responsible for selecting the quality of the videos face critical challenges in providing a high Quality of Experience (QoE) for end users. One open issue is how to ensure the optimal experience for heterogeneous devices in the context of extreme variation of mobile broadband networks. Additionally, end users may have different priorities on video quality and data usage (i.e., the amount of data downloaded to the devices through the mobile networks). A generic mechanism for players that enables specification of various policies to meet end users’ needs is still missing. In this paper, we propose a weighted sum model, namely WISH, that yields high QoE of the video and allows end users to express their preferences among different parameters (i.e., data usage, stall events, and video quality) of video streaming. WISH has been implemented into ExoPlayer, a popular player used in many mobile applications. The experimental results show that WISH improves the QoE by up to 17.6% while saving 36.4% of data usage compared to state-of-the-art ABR algorithms and provides dynamic adaptation to end users’ requirements.
Policy-driven Dynamic HTTP Adaptive Streaming Player Environment
Video streaming services account for the majority of today’s traffic on the Internet. Although the data transmission rate has been increasing significantly, the growing number and variety of media and higher quality expectations of users have led networked media applications to fully or even over-utilize the available throughput. HTTP Adaptive Streaming (HAS) has become a predominant technique for multimedia delivery over the Internet today. However, there are critical challenges for multimedia systems, especially the tradeoff between the increasing content (complexity) and various requirements regarding time (latency) and quality (QoE). This thesis will cover the main aspects within the end user’s environment, including video consumption and interactivity, collectively referred to as player environment, which is probably the most crucial component in today’s multimedia applications and services. We will investigate the methods that can enable the specification of various policies reflecting the user’s needs in given use cases. Besides, we will also work on schemes that allow efficient support for server-assisted, and network-assisted HAS systems. Finally, those approaches will be considered to combine into policies that fit the requirements of all use cases (e.g., live streaming, video on demand, etc.).
A Channel Allocation Algorithm for Cognitive Radio Users Based on Channel Sta...
A Channel Allocation Algorithm for Cognitive Radio Users Based on Channel Sta...Alpen-Adria-Universität
Cognitive radio networks by utilizing the spectrum holes in licensed frequency bands are able to efficiently manage the radio spectrum. A significant improvement in spectrum use can be achieved by giving secondary users access to these spectrum holes. Predicting spectrum holes can save significant energy that is consumed to detect spectrum holes. This is because the secondary users can only select the channels that are predicted to be idle channels. However, collisions can occur either between a primary user and secondary users or among the secondary users themselves. This paper introduces a centralized channel allocation algorithm in a scenario with multiple secondary users to control both primary and secondary collisions. The proposed allocation algorithm, which uses a channel status predictor, provides a good performance with fairness among the secondary users while they have the minimal interference with the primary user. The simulation results show that the probability of a wrong prediction of an idle channel state in a multi-channel system is less than 0.9%. In addition, the channel state prediction saves the sensing energy up to 73%, and the utilization of the spectrum can be improved more than 77%.Il3614731475
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Dcsd final report
This document describes a student project to design and implement a 16-QAM digital transmitter. It discusses:
1) The basic concepts of QAM modulation and the goals of designing a 16-QAM transmitter.
2) An overview of the project files submitted, including different approaches taken and improvements made.
3) The modules developed including data input, carrier signal generation, calculating I/Q values, and displaying the output.
4) How the RTL netlist viewer was used to understand and troubleshoot the design.
5) Simulations performed to test the design and output signals.
6) The successful results obtained and conclusions about designing a parameterized system that can support higher order QAM
On the Impact of Viewing Distance on Perceived Video Quality
Due to the growing importance of optimizing quality and efficiency of video streaming delivery, accurate assessment of user perceived video quality becomes increasingly relevant. However, due to the wide range of viewing distances encountered in real-world viewing settings, actually perceived video quality can vary significantly in everyday viewing situations. In this paper, we investigate and quantify the influence of viewing distance on perceived video quality. A subjective experiment was conducted with full HD sequences at three different stationary viewing distances, with each video sequence being encoded at three different quality levels. Our study results confirm that the viewing distance has a significant influence on the quality assessment. In particular, they show that an increased viewing distance generally leads to an increased perceived video quality, especially at low media encoding quality levels. In this context, we also provide an estimation of potential bitrate savings that knowledge of actual viewing distance would enable in practice.
Since current objective video quality metrics do not systematically take into account viewing distance, we also analyze and quantify the influence of viewing distance on the correlation between objective and subjective metrics. Our results confirm the need for distance-aware objective metrics when accurate prediction of perceived video quality in real-world environments is required.
D0151724
This document describes a proposed high-speed linear feedback shift register (LFSR) design for a Bose-Chaudhuri-Hocquengham (BCH) encoder through the application of sample period reduction technique. Specifically:
1. The LFSR is used to generate parity bits that are concatenated with message bits to form a codeword for error detection and correction in the BCH encoder.
2. To increase throughput and speed, the LFSR is unfolded using parallel processing techniques like unfolding, which increases the number of message bits processed per clock cycle.
3. An unfolding factor is selected based on analyzing criteria like computational time and iteration bounds, to reduce the sampling period and thereby decrease
Sky X Technology - Avirup Kundu | UEMK | CSE
The PPT is on Sky X Technology, a modern tech used nowadays for error free data transmission.
I had prepared this for my seminar.
Hardware accelerator for financial application in HDL and HLS, SAMOS 2017
Hardware accelerator for financial application in HDL and HLS, SAMOS 2017VINEYARD - Versatile Integrated Accelerator-based Heterogeneous Data Centres
This document compares hardware implementations of three financial algorithms (Black-Scholes, Black, and binomial) using VHDL and high-level synthesis (HLS). HLS implementations achieved similar performance to VHDL in terms of throughput and latency but required fewer logic resources and used floating point for higher accuracy. However, HLS design effort was over an order of magnitude higher than VHDL. Implementing the algorithms on FPGAs provided up to 350x speedup compared to software.Copy of colloquium 3 latest
1. Recent advances in silicon technology have enabled more complex system-on-chip designs by allowing for higher densities and frequencies. However, verifying these complex, mixed-signal designs is challenging with traditional methodologies.
2. Currently, designers can simulate mixed-signal designs at various levels of abstraction from transistor-level up to system-level using languages like VHDL-AMS. However, transistor-level simulations are slow while higher-level languages do not support synthesis and have synchronization issues.
3. The document proposes a novel mixed-signal design methodology using a user-defined floating-point library in VHDL compatible with IEEE 754 to model analog operations digitally. This allows modeling and verifying
a technical review of efficient and high speed adders for vedic multipliers
n the VLSI system design, the main regions of research are the reduced size & increase speed path logic systems. A fundamental requirement of high speed, addition and multiplication is always needed for the high performance digital processors. In the digital system, the speed of addition depend on the propagation of carry, which is generated successively, after the previous bit has been summed & carry is propagated, into the next location. There are numerous types of adders available likes Ripple Carry Adder, Carry Look Ahead Adder, Carry Save Adder, Carry Avoid Adder, and Carry Select Adder, which have their own benefits and drawbacks. With the advances technology, proposal of Carry select adder (CSA) which deals either of the high speed, low power consumption, regularity of layout a smaller amount area and compact VLSI design implementation. Researchers justify that Ripple Carry Adder had a lesser area but having lesser in speed, in comparing with Carry Select Adders are fastest speed but possess a larger area. The Carry Look Ahead Adder is in between the spectrum having proper trade-offs between time and area complexities.
Enabling SDN in old school networks with Software-Controlled Routing Protocols
Enabling SDN in old school networks with Software-Controlled Routing ProtocolsOpen Networking Summits
Laurent Vanbever
Princeton University
Research Track Session Part 3
ONS2015: http://bit.ly/ons2015sd
ONS Inspire! Webinars: http://bit.ly/oiw-sd
Watch the talk (video) on ONS Content Archives: http://bit.ly/ons-archives-sdA fast pu mode decision algorithm for h.264 avc to hevc transcoding
The document proposes a fast algorithm for transcoding video from H.264/AVC to HEVC. The algorithm reuses motion vectors, residuals, and modes from H.264/AVC blocks to predict coding units in HEVC. It includes a fast prediction unit decision and fast motion estimation. For prediction unit decision, it analyzes motion vector variance and residuals to skip modes. For depths 0-1, it handles larger HEVC blocks differently than depths 2-3 which match H.264/AVC block sizes. Fast motion estimation adapts the search range based on motion vector differences and predicts ranges using transition probabilities between standards. Simulation results show up to 53% encoding time savings while maintaining rate-dist
Efficient pu mode decision and motion estimation for h.264 avc to hevc transc...
H.264/AVC has been widely applied to various applications. However, a new video compression standard,
High Efficient Video Coding (HEVC), had been finalized in 2013. In this work, a fast transcoder from
H.264/AVC to HEVC is proposed. The proposed algorithm includes the fast prediction unit (PU) decision
and the fast motion estimation. With the strong relation between H.264/AVC and HEVC, the modes,
residuals, and variance of motion vectors (MVs) extracted from H.264/AVC can be reused to predict the
current encoding PU of HEVC. Furthermore, the MVs from H.264/AVC are used to decide the search
range of PU during motion estimation. Simulation results show that the proposed algorithm can save up to
53% of the encoding time and maintains the rate-distortion (R-D) performance for HEVC.
Optimal coding unit decision for early termination in high efficiency video c...
Video compression is an emerging research topic in the field of block based video encoders. Due to the growth of video coding technologies, high efficiency video coding (HEVC) delivers superior coding performance. With the increased encoding complexity, the HEVC enhances the rate-distortion (RD) performance. In the video compression, the out-sized coding units (CUs) have higher encoding complexity. Therefore, the computational encoding cost and complexity remain vital concerns, which need to be considered as an optimization task. In this manuscript, an enhanced whale optimization algorithm (EWOA) is implemented to reduce the computational time and complexity of the HEVC. In the EWOA, a cosine function is incorporated with the controlling parameter A and two correlation factors are included in the WOA for controlling the position of whales and regulating the movement of search mechanism during the optimization and search processes. The bit streams in the Luma-coding tree block are selected using EWOA that defines the CU neighbors and is used in the HEVC. The results indicate that the EWOA achieves best bit rate (BR), time saving, and peak signal to noise ratio (PSNR). The EWOA showed 0.006-0.012 dB higher PSNR than the existing models in the real-time videos.
Cuda project paper
Distributed Video Coding (DVC) has become increasingly popular in recent times among the researchers in video coding due to its attractive and promising features. DVC primarily has a modified complexity balance between the encoder and decoder, in contrast to conventional video codecs. However, Most of the reported DVC schemes have a high time-delay in decoder which hinders its practical application in real-time systems. In this work, we focus on speed up the Side Information(SI) generation module in DVC, which is a major function in the DVC coding algorithm and one of the time-consuming factor at the decoder. By applied it through Compute Unified Device Architecture (CUDA) based on General-Purpose Graphics Processing Unit (GPGPU), the experimental results show that a considerable speedup can be obtained by using the proposed parallelized SI generation algorithm.
Dynamic time warping and PIC 16F676 for control of devices
A presentation done as a part of the final year project during Semester 8 in the under-graduate degree course in engineering.
This presentation explains one of the modules of the project "Speaker and Speech Recognition based Embedded System Design for User Authentication and remote Device Control" which is the Speech Recognition Module.
It effectively explains the Dynamic Time Warping Algorithm used for Speech Recognition and how that is further used along with PIC 16F676 Microcontroller to acquire control of remote devices connected to the system.
Compressive sensing-based channel estimation for high mobile systems with del...
In this paper, channel overhead is reduced by exploiting channel sparsity for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) system. Where, compressive sensing (CS) based dictionary design algorithms has been adopted as a channel estimation technique in high mobile systems with minimal number of pilots, such as high-speed train (HST) systems. A novel framework design of the dictionary-based CS was proposed considering both delay and Doppler effects in order to correctly recover the channel response. The channel under consideration is a 2 by 2 space-time block code (STBC) MIMO channel. Simulation tests according to the international telecommunication union (ITU) channel model demonstrated the suitability of the proposed dictionary for estimating the channel impulse response (CIR) of a liner time varying (LTV) channel with a mobility approaches 675 Km/h related to a Doppler frequency of 1500 Hz and 2.4 GHz carrier frequency. Two CS recovery algorithms were applied; orthogonal matching pursuit (OMP) and basis pursuit (BP), where by about 7 dB gain in signal to noise ratio (SNR) was achieved with mobility of 675 Km/h using OMP as compared to BP at a bit error rate (BER) of with 128 OFDM subcarriers.
Global Map Matching using BLE Beacons for Indoor Route and Stay Estimation
This slide was presented at ACM SIGSPATIAL 2018.
https://sigspatial2018.sigspatial.org/
Author is Daisuke Yamamoto.
Author's web site is here
http://yamamoto.web.nitech.ac.jp/
Daisuke Yamamoto, Ryosuke Tanaka, Shinsuke Kajioka, Hiroshi Matsuo, Naohisa Takahashi, Global Map Matching using BLE Beacons for Indoor Route and Stay Estimation, Proc. of the 26th ACM SIGSPATIAL 2018, pp. 309-318, Seatlle, Nov. 2018.
https://doi.org/10.1145/3274895.3274918
IEEE MMSP'21: INCEPT: Intra CU Depth Prediction for HEVC
The document presents the INCEPT algorithm for intra coding unit (CU) depth prediction in HEVC video encoding. INCEPT uses features like texture energy and neighboring CU statistics to predict the minimum and maximum depth for each CU. It achieved an average encoding time savings of 23.34% over benchmark algorithms with only a 1.28% increase in bitrate. The algorithm works well across different video types and quality levels. Future work could reduce PU mode decision time and extend the approach to the VVC standard.
IMPROVING PSNR AND PROCESSING SPEED FOR HEVC USING HYBRID PSO FOR INTRA FRAME...
High efficiency video coding (HEVC) is the newest video codec to increase significantly the coding
efficiency of its ancestor H.264/Advance Video Coding. However, the HEVC delivers a highly increased
computation complexity. In this paper, a coding unit partitioning pattern optimization method based on
particle swarm optimization (PSO) is proposed to reduce the computational complexity of hierarchical
quadtree-based coding unit partitioning. The required coding unit partitioning pattern for exhaustive
partitioning and the rate distortion cost are efficiently considered as the chromosome and the fitness
function of the PSO, respectively. To reduce the computational time, the cellular automata-based (CA)
rule based time limit is used in order to find out the best possible modes of operation. Compared to the
current state of the art algorithms, this scheme is computationally simple and achieves superior
reconstructed video quality (12% increase in PSNR compared to existing methods) at less computational
complexity (overall delay by 40%), Increasing the bandwidth and reducing the errors.
ROLE OF DIGITAL SIMULATION IN CONFIGURING NETWORK PARAMETERS
Selecting the right Ethernet standard and configuring all the network devices in the embedded systems accurately is an extremely hard and rigorous job. The configuration depends on the topology, workloads of the connected devices, processing overhead at the switches, and the external interfaces. Network calculus, mathematical models and analytical techniques provide worst case execution time (WCET), but their probability of activity is extremely wide. This leads to overdesign which leads to higher costs, power consumption, weight, and size. Simulating the network is the best way to measure the throughput of the entire system. Digital system simulation provides better latency and throughput accuracy, but the accuracy is still limited because it does not consider the latency associated with the network OS, cybersecurity processing and scheduling. In many cases, these factors can reduce the throughput by 20-40%.
In this paper, we will present our research on modeling the entire Ethernet network, including the workloads, network flow control, scheduling, switch hardware, and software. To substantially increase the coverage and compare topologies, we have developed a set of benchmarks that provides coverage for different combination of deterministic, rate-constrained, and best effort traffic. During the presentation, we will cover the benchmarks, the list of attributes required to accurately model the traffic, nodes, switches, and the scheduler settings. We will also look at the statistics and reports required to make the configuration decision. In addition, we will discuss how the model must be constructed to study the impact of future requirements, failures, network intrusions, and security detection schemes.
Key Takeaways:
1. Learn how to efficiently use network simulation to design Ethernet systems
2. Develop a reusable benchmark and associated statistics to test different configurations
3. The role and impact of the CDT slots, guard band, send slope, idle slope, shuffle scheduling, flow control and virtual channels
More Related Content
What's hot
WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile D...
Recently, mobile devices have become paramount in online video streaming. Adaptive bitrate (ABR) algorithms of players responsible for selecting the quality of the videos face critical challenges in providing a high Quality of Experience (QoE) for end users. One open issue is how to ensure the optimal experience for heterogeneous devices in the context of extreme variation of mobile broadband networks. Additionally, end users may have different priorities on video quality and data usage (i.e., the amount of data downloaded to the devices through the mobile networks). A generic mechanism for players that enables specification of various policies to meet end users’ needs is still missing. In this paper, we propose a weighted sum model, namely WISH, that yields high QoE of the video and allows end users to express their preferences among different parameters (i.e., data usage, stall events, and video quality) of video streaming. WISH has been implemented into ExoPlayer, a popular player used in many mobile applications. The experimental results show that WISH improves the QoE by up to 17.6% while saving 36.4% of data usage compared to state-of-the-art ABR algorithms and provides dynamic adaptation to end users’ requirements.
Policy-driven Dynamic HTTP Adaptive Streaming Player Environment
Video streaming services account for the majority of today’s traffic on the Internet. Although the data transmission rate has been increasing significantly, the growing number and variety of media and higher quality expectations of users have led networked media applications to fully or even over-utilize the available throughput. HTTP Adaptive Streaming (HAS) has become a predominant technique for multimedia delivery over the Internet today. However, there are critical challenges for multimedia systems, especially the tradeoff between the increasing content (complexity) and various requirements regarding time (latency) and quality (QoE). This thesis will cover the main aspects within the end user’s environment, including video consumption and interactivity, collectively referred to as player environment, which is probably the most crucial component in today’s multimedia applications and services. We will investigate the methods that can enable the specification of various policies reflecting the user’s needs in given use cases. Besides, we will also work on schemes that allow efficient support for server-assisted, and network-assisted HAS systems. Finally, those approaches will be considered to combine into policies that fit the requirements of all use cases (e.g., live streaming, video on demand, etc.).
A Channel Allocation Algorithm for Cognitive Radio Users Based on Channel Sta...
A Channel Allocation Algorithm for Cognitive Radio Users Based on Channel Sta...Alpen-Adria-Universität
Cognitive radio networks by utilizing the spectrum holes in licensed frequency bands are able to efficiently manage the radio spectrum. A significant improvement in spectrum use can be achieved by giving secondary users access to these spectrum holes. Predicting spectrum holes can save significant energy that is consumed to detect spectrum holes. This is because the secondary users can only select the channels that are predicted to be idle channels. However, collisions can occur either between a primary user and secondary users or among the secondary users themselves. This paper introduces a centralized channel allocation algorithm in a scenario with multiple secondary users to control both primary and secondary collisions. The proposed allocation algorithm, which uses a channel status predictor, provides a good performance with fairness among the secondary users while they have the minimal interference with the primary user. The simulation results show that the probability of a wrong prediction of an idle channel state in a multi-channel system is less than 0.9%. In addition, the channel state prediction saves the sensing energy up to 73%, and the utilization of the spectrum can be improved more than 77%.Il3614731475
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Dcsd final report
This document describes a student project to design and implement a 16-QAM digital transmitter. It discusses:
1) The basic concepts of QAM modulation and the goals of designing a 16-QAM transmitter.
2) An overview of the project files submitted, including different approaches taken and improvements made.
3) The modules developed including data input, carrier signal generation, calculating I/Q values, and displaying the output.
4) How the RTL netlist viewer was used to understand and troubleshoot the design.
5) Simulations performed to test the design and output signals.
6) The successful results obtained and conclusions about designing a parameterized system that can support higher order QAM
On the Impact of Viewing Distance on Perceived Video Quality
Due to the growing importance of optimizing quality and efficiency of video streaming delivery, accurate assessment of user perceived video quality becomes increasingly relevant. However, due to the wide range of viewing distances encountered in real-world viewing settings, actually perceived video quality can vary significantly in everyday viewing situations. In this paper, we investigate and quantify the influence of viewing distance on perceived video quality. A subjective experiment was conducted with full HD sequences at three different stationary viewing distances, with each video sequence being encoded at three different quality levels. Our study results confirm that the viewing distance has a significant influence on the quality assessment. In particular, they show that an increased viewing distance generally leads to an increased perceived video quality, especially at low media encoding quality levels. In this context, we also provide an estimation of potential bitrate savings that knowledge of actual viewing distance would enable in practice.
Since current objective video quality metrics do not systematically take into account viewing distance, we also analyze and quantify the influence of viewing distance on the correlation between objective and subjective metrics. Our results confirm the need for distance-aware objective metrics when accurate prediction of perceived video quality in real-world environments is required.
D0151724
This document describes a proposed high-speed linear feedback shift register (LFSR) design for a Bose-Chaudhuri-Hocquengham (BCH) encoder through the application of sample period reduction technique. Specifically:
1. The LFSR is used to generate parity bits that are concatenated with message bits to form a codeword for error detection and correction in the BCH encoder.
2. To increase throughput and speed, the LFSR is unfolded using parallel processing techniques like unfolding, which increases the number of message bits processed per clock cycle.
3. An unfolding factor is selected based on analyzing criteria like computational time and iteration bounds, to reduce the sampling period and thereby decrease
Sky X Technology - Avirup Kundu | UEMK | CSE
The PPT is on Sky X Technology, a modern tech used nowadays for error free data transmission.
I had prepared this for my seminar.
Hardware accelerator for financial application in HDL and HLS, SAMOS 2017
Hardware accelerator for financial application in HDL and HLS, SAMOS 2017VINEYARD - Versatile Integrated Accelerator-based Heterogeneous Data Centres
This document compares hardware implementations of three financial algorithms (Black-Scholes, Black, and binomial) using VHDL and high-level synthesis (HLS). HLS implementations achieved similar performance to VHDL in terms of throughput and latency but required fewer logic resources and used floating point for higher accuracy. However, HLS design effort was over an order of magnitude higher than VHDL. Implementing the algorithms on FPGAs provided up to 350x speedup compared to software.Copy of colloquium 3 latest
1. Recent advances in silicon technology have enabled more complex system-on-chip designs by allowing for higher densities and frequencies. However, verifying these complex, mixed-signal designs is challenging with traditional methodologies.
2. Currently, designers can simulate mixed-signal designs at various levels of abstraction from transistor-level up to system-level using languages like VHDL-AMS. However, transistor-level simulations are slow while higher-level languages do not support synthesis and have synchronization issues.
3. The document proposes a novel mixed-signal design methodology using a user-defined floating-point library in VHDL compatible with IEEE 754 to model analog operations digitally. This allows modeling and verifying
a technical review of efficient and high speed adders for vedic multipliers
n the VLSI system design, the main regions of research are the reduced size & increase speed path logic systems. A fundamental requirement of high speed, addition and multiplication is always needed for the high performance digital processors. In the digital system, the speed of addition depend on the propagation of carry, which is generated successively, after the previous bit has been summed & carry is propagated, into the next location. There are numerous types of adders available likes Ripple Carry Adder, Carry Look Ahead Adder, Carry Save Adder, Carry Avoid Adder, and Carry Select Adder, which have their own benefits and drawbacks. With the advances technology, proposal of Carry select adder (CSA) which deals either of the high speed, low power consumption, regularity of layout a smaller amount area and compact VLSI design implementation. Researchers justify that Ripple Carry Adder had a lesser area but having lesser in speed, in comparing with Carry Select Adders are fastest speed but possess a larger area. The Carry Look Ahead Adder is in between the spectrum having proper trade-offs between time and area complexities.
Enabling SDN in old school networks with Software-Controlled Routing Protocols
Enabling SDN in old school networks with Software-Controlled Routing ProtocolsOpen Networking Summits
Laurent Vanbever
Princeton University
Research Track Session Part 3
ONS2015: http://bit.ly/ons2015sd
ONS Inspire! Webinars: http://bit.ly/oiw-sd
Watch the talk (video) on ONS Content Archives: http://bit.ly/ons-archives-sdWhat's hot (12)
WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile D...
WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile D...
Policy-driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-driven Dynamic HTTP Adaptive Streaming Player Environment
A Channel Allocation Algorithm for Cognitive Radio Users Based on Channel Sta...
A Channel Allocation Algorithm for Cognitive Radio Users Based on Channel Sta...
On the Impact of Viewing Distance on Perceived Video Quality
On the Impact of Viewing Distance on Perceived Video Quality
Hardware accelerator for financial application in HDL and HLS, SAMOS 2017
Hardware accelerator for financial application in HDL and HLS, SAMOS 2017
a technical review of efficient and high speed adders for vedic multipliers
a technical review of efficient and high speed adders for vedic multipliers
Enabling SDN in old school networks with Software-Controlled Routing Protocols
Enabling SDN in old school networks with Software-Controlled Routing Protocols
Similar to HEVCModeDecisionFast
A fast pu mode decision algorithm for h.264 avc to hevc transcoding
The document proposes a fast algorithm for transcoding video from H.264/AVC to HEVC. The algorithm reuses motion vectors, residuals, and modes from H.264/AVC blocks to predict coding units in HEVC. It includes a fast prediction unit decision and fast motion estimation. For prediction unit decision, it analyzes motion vector variance and residuals to skip modes. For depths 0-1, it handles larger HEVC blocks differently than depths 2-3 which match H.264/AVC block sizes. Fast motion estimation adapts the search range based on motion vector differences and predicts ranges using transition probabilities between standards. Simulation results show up to 53% encoding time savings while maintaining rate-dist
Efficient pu mode decision and motion estimation for h.264 avc to hevc transc...
H.264/AVC has been widely applied to various applications. However, a new video compression standard,
High Efficient Video Coding (HEVC), had been finalized in 2013. In this work, a fast transcoder from
H.264/AVC to HEVC is proposed. The proposed algorithm includes the fast prediction unit (PU) decision
and the fast motion estimation. With the strong relation between H.264/AVC and HEVC, the modes,
residuals, and variance of motion vectors (MVs) extracted from H.264/AVC can be reused to predict the
current encoding PU of HEVC. Furthermore, the MVs from H.264/AVC are used to decide the search
range of PU during motion estimation. Simulation results show that the proposed algorithm can save up to
53% of the encoding time and maintains the rate-distortion (R-D) performance for HEVC.
Optimal coding unit decision for early termination in high efficiency video c...
Video compression is an emerging research topic in the field of block based video encoders. Due to the growth of video coding technologies, high efficiency video coding (HEVC) delivers superior coding performance. With the increased encoding complexity, the HEVC enhances the rate-distortion (RD) performance. In the video compression, the out-sized coding units (CUs) have higher encoding complexity. Therefore, the computational encoding cost and complexity remain vital concerns, which need to be considered as an optimization task. In this manuscript, an enhanced whale optimization algorithm (EWOA) is implemented to reduce the computational time and complexity of the HEVC. In the EWOA, a cosine function is incorporated with the controlling parameter A and two correlation factors are included in the WOA for controlling the position of whales and regulating the movement of search mechanism during the optimization and search processes. The bit streams in the Luma-coding tree block are selected using EWOA that defines the CU neighbors and is used in the HEVC. The results indicate that the EWOA achieves best bit rate (BR), time saving, and peak signal to noise ratio (PSNR). The EWOA showed 0.006-0.012 dB higher PSNR than the existing models in the real-time videos.
Cuda project paper
Distributed Video Coding (DVC) has become increasingly popular in recent times among the researchers in video coding due to its attractive and promising features. DVC primarily has a modified complexity balance between the encoder and decoder, in contrast to conventional video codecs. However, Most of the reported DVC schemes have a high time-delay in decoder which hinders its practical application in real-time systems. In this work, we focus on speed up the Side Information(SI) generation module in DVC, which is a major function in the DVC coding algorithm and one of the time-consuming factor at the decoder. By applied it through Compute Unified Device Architecture (CUDA) based on General-Purpose Graphics Processing Unit (GPGPU), the experimental results show that a considerable speedup can be obtained by using the proposed parallelized SI generation algorithm.
Dynamic time warping and PIC 16F676 for control of devices
A presentation done as a part of the final year project during Semester 8 in the under-graduate degree course in engineering.
This presentation explains one of the modules of the project "Speaker and Speech Recognition based Embedded System Design for User Authentication and remote Device Control" which is the Speech Recognition Module.
It effectively explains the Dynamic Time Warping Algorithm used for Speech Recognition and how that is further used along with PIC 16F676 Microcontroller to acquire control of remote devices connected to the system.
Compressive sensing-based channel estimation for high mobile systems with del...
In this paper, channel overhead is reduced by exploiting channel sparsity for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) system. Where, compressive sensing (CS) based dictionary design algorithms has been adopted as a channel estimation technique in high mobile systems with minimal number of pilots, such as high-speed train (HST) systems. A novel framework design of the dictionary-based CS was proposed considering both delay and Doppler effects in order to correctly recover the channel response. The channel under consideration is a 2 by 2 space-time block code (STBC) MIMO channel. Simulation tests according to the international telecommunication union (ITU) channel model demonstrated the suitability of the proposed dictionary for estimating the channel impulse response (CIR) of a liner time varying (LTV) channel with a mobility approaches 675 Km/h related to a Doppler frequency of 1500 Hz and 2.4 GHz carrier frequency. Two CS recovery algorithms were applied; orthogonal matching pursuit (OMP) and basis pursuit (BP), where by about 7 dB gain in signal to noise ratio (SNR) was achieved with mobility of 675 Km/h using OMP as compared to BP at a bit error rate (BER) of with 128 OFDM subcarriers.
Global Map Matching using BLE Beacons for Indoor Route and Stay Estimation
This slide was presented at ACM SIGSPATIAL 2018.
https://sigspatial2018.sigspatial.org/
Author is Daisuke Yamamoto.
Author's web site is here
http://yamamoto.web.nitech.ac.jp/
Daisuke Yamamoto, Ryosuke Tanaka, Shinsuke Kajioka, Hiroshi Matsuo, Naohisa Takahashi, Global Map Matching using BLE Beacons for Indoor Route and Stay Estimation, Proc. of the 26th ACM SIGSPATIAL 2018, pp. 309-318, Seatlle, Nov. 2018.
https://doi.org/10.1145/3274895.3274918
IEEE MMSP'21: INCEPT: Intra CU Depth Prediction for HEVC
The document presents the INCEPT algorithm for intra coding unit (CU) depth prediction in HEVC video encoding. INCEPT uses features like texture energy and neighboring CU statistics to predict the minimum and maximum depth for each CU. It achieved an average encoding time savings of 23.34% over benchmark algorithms with only a 1.28% increase in bitrate. The algorithm works well across different video types and quality levels. Future work could reduce PU mode decision time and extend the approach to the VVC standard.
IMPROVING PSNR AND PROCESSING SPEED FOR HEVC USING HYBRID PSO FOR INTRA FRAME...
High efficiency video coding (HEVC) is the newest video codec to increase significantly the coding
efficiency of its ancestor H.264/Advance Video Coding. However, the HEVC delivers a highly increased
computation complexity. In this paper, a coding unit partitioning pattern optimization method based on
particle swarm optimization (PSO) is proposed to reduce the computational complexity of hierarchical
quadtree-based coding unit partitioning. The required coding unit partitioning pattern for exhaustive
partitioning and the rate distortion cost are efficiently considered as the chromosome and the fitness
function of the PSO, respectively. To reduce the computational time, the cellular automata-based (CA)
rule based time limit is used in order to find out the best possible modes of operation. Compared to the
current state of the art algorithms, this scheme is computationally simple and achieves superior
reconstructed video quality (12% increase in PSNR compared to existing methods) at less computational
complexity (overall delay by 40%), Increasing the bandwidth and reducing the errors.
ROLE OF DIGITAL SIMULATION IN CONFIGURING NETWORK PARAMETERS
Selecting the right Ethernet standard and configuring all the network devices in the embedded systems accurately is an extremely hard and rigorous job. The configuration depends on the topology, workloads of the connected devices, processing overhead at the switches, and the external interfaces. Network calculus, mathematical models and analytical techniques provide worst case execution time (WCET), but their probability of activity is extremely wide. This leads to overdesign which leads to higher costs, power consumption, weight, and size. Simulating the network is the best way to measure the throughput of the entire system. Digital system simulation provides better latency and throughput accuracy, but the accuracy is still limited because it does not consider the latency associated with the network OS, cybersecurity processing and scheduling. In many cases, these factors can reduce the throughput by 20-40%.
In this paper, we will present our research on modeling the entire Ethernet network, including the workloads, network flow control, scheduling, switch hardware, and software. To substantially increase the coverage and compare topologies, we have developed a set of benchmarks that provides coverage for different combination of deterministic, rate-constrained, and best effort traffic. During the presentation, we will cover the benchmarks, the list of attributes required to accurately model the traffic, nodes, switches, and the scheduler settings. We will also look at the statistics and reports required to make the configuration decision. In addition, we will discuss how the model must be constructed to study the impact of future requirements, failures, network intrusions, and security detection schemes.
Key Takeaways:
1. Learn how to efficiently use network simulation to design Ethernet systems
2. Develop a reusable benchmark and associated statistics to test different configurations
3. The role and impact of the CDT slots, guard band, send slope, idle slope, shuffle scheduling, flow control and virtual channels
Fpga implementation of 4 bit parallel cyclic redundancy code
Abstract This paper presents a different approach to solve the parallel CRC circuit. The previous works have been studied. Certain drawbacks were observed in the previous works. Some authors had used Linear feedback shift registers to do serial implementation. This approach resulted in a circuit that was inefficient in terms of time utilization. Though some authors had used the concept of parallel CRC but there was scope for improvement. We have worked on the related issues and have proposed an efficient mechanism. We have developed the VHDL code using VHDL structural modelling. The work was also compared with existing models of parallel implementation of four bit CRC circuit. The code is written for four bit parallel CRC and FPGA implementation of the code was done. Comparing with existing work, the proposed model is more efficient in terms of hardware utilization. As the hardware utilization has been been done in an efficient way, the overall efficiency of the parallel CRC is found to improve. Keywords: CRC,PARALLEL CRC, STRUCTURAL MODELLING
Performance analysis of al fec raptor code over 3 gpp embms network
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Performance analysis of al fec raptor code over 3 gpp embms network
Abstract Long Term Evolution (LTE) is the current standard for mobile networks based on Third Generation Partnership Project. LTE includes enhanced multimedia broadcast and multicast services (MBMS), also called as Evolved multimedia broadcast and multicast services (eMBMS) where the same content is transmitted to multiple users in one specific area. eMBMS is a new function defined in 3GPP Release 8 specification that supports the delivery of content and streaming to group users into LTE mobile networks. In LTE an important point of demanding multimedia services is to improve the robustness against packet losses. In this direction, in order to support effective point-to-multipoint download and streaming delivery, 3GPP has included an Application Layer Forward Error Correction (AL-FEC) scheme in the standard eMBMS. The standard AL-FEC system is based on systematic, fountain Raptor codes. Raptor coding is very useful in case of packet loss during transmission as it recover all data back from insufficient data at receiver terminal .In our work, in response to the emergence of an enhanced AL-FEC scheme, a raptor code has been implemented and performance is evaluated and the simulation results are obtained. Index Terms: long term evolution; multimedia broadcast multicast services; forward error correction; raptor codes
Data quality evaluation & orbit identification from scatterometer
This document provides an overview and roadmap for a presentation on evaluating data quality and identifying orbits from scatterometer data products using modern computing techniques. The presentation covers an introduction to scatterometers and data products, the problem of relating level-0 and level-1B data and performing retrospective analysis without metadata, a literature survey of existing data quality evaluation (DQE) systems and their limitations, a proposal for new approaches including fuzzy logic-based and pattern-based orbit identification and a neural network approach to DQE using flag bits, and the implementation and results of these new approaches. The approaches demonstrated improvements in clarity, speed and accuracy for DQE and orbit identification tasks over traditional techniques.
High Efficiency Video Codec
The document provides an overview of the High Efficiency Video Coding (HEVC) standard. Some key points:
- HEVC was created as a new video compression standard to address the growing needs of higher resolution video content and more efficient compression compared to prior standards like H.264.
- It achieves 50% bitrate reduction over H.264 for the same visual quality or improved quality at the same bitrate.
- The standard uses a block-based coding structure with coding tree units and supports intra-frame and inter-frame coding with motion estimation/compensation.
- It introduces more intra-prediction modes and block sizes along with improved transforms, quantization, and entropy coding.
IMPROVING PSNR AND PROCESSING SPEED FOR HEVC USING HYBRID PSO FOR INTRA FRAME...
This document summarizes a research paper that proposes a new method to improve the efficiency of the HEVC video coding standard. The proposed method uses particle swarm optimization (PSO) to optimize the coding unit partitioning patterns in HEVC in order to reduce computational complexity. Compared to existing algorithms, the proposed PSO-based method achieves a 12% increase in PSNR video quality while reducing computational complexity by 40% and overall encoding delay. The method integrates this optimized intra-frame prediction into the HEVC encoding and decoding process.
IMPROVING PSNR AND PROCESSING SPEED FOR HEVC USING HYBRID PSO FOR INTRA FRAME...
High efficiency video coding (HEVC) is the newest video codec to increase significantly the coding
efficiency of its ancestor H.264/Advance Video Coding. However, the HEVC delivers a highly increased
computation complexity. In this paper, a coding unit partitioning pattern optimization method based on
particle swarm optimization (PSO) is proposed to reduce the computational complexity of hierarchical
quadtree-based coding unit partitioning. The required coding unit partitioning pattern for exhaustive
partitioning and the rate distortion cost are efficiently considered as the chromosome and the fitness
function of the PSO, respectively. To reduce the computational time, the cellular automata-based (CA)
rule based time limit is used in order to find out the best possible modes of operation. Compared to the
current state of the art algorithms, this scheme is computationally simple and achieves superior
reconstructed video quality (12% increase in PSNR compared to existing methods) at less computational
complexity (overall delay by 40%), Increasing the bandwidth and reducing the errors..
Positioning techniques in 3 g networks (1)
Independent Study Presentation on Positioning Techniques in 3G Networks. The presentation discusses [1] positioning parameters in 3G networks such as RSCP, RSS, RTT, and AoA; and [2] positioning techniques including enhancements to the basic Cell ID method, OTDOA methods using IPDL and CVB, the Database Correlation Method using power delay profiles, and the Pilot Correlation Method using pilot signal measurements. Simulation results are presented showing the accuracy of some of these techniques.
Globecom 2015: Adaptive Raptor Carousel for 802.11
These slides describe an adaptive raptor carousel for multicast transmission over 802.11. This work was presented by Berna Bulut at Globecom 2015, San Diego.
K0216571
This document describes the implementation of a Viterbi decoder using VHDL. It begins with background on convolutional encoding, the Viterbi algorithm for decoding convolutional codes, and the basic structure of a Viterbi decoder. It then discusses the design and simulation of a rate 1/2 constraint length 3 Viterbi decoder in VHDL targeting the Spartan-3A FPGA. Simulation results and comparisons to other FPGA devices are presented.
Similar to HEVCModeDecisionFast (20)
A fast pu mode decision algorithm for h.264 avc to hevc transcoding
A fast pu mode decision algorithm for h.264 avc to hevc transcoding
Efficient pu mode decision and motion estimation for h.264 avc to hevc transc...
Efficient pu mode decision and motion estimation for h.264 avc to hevc transc...
Optimal coding unit decision for early termination in high efficiency video c...
Optimal coding unit decision for early termination in high efficiency video c...
Dynamic time warping and PIC 16F676 for control of devices
Dynamic time warping and PIC 16F676 for control of devices
Compressive sensing-based channel estimation for high mobile systems with del...
Compressive sensing-based channel estimation for high mobile systems with del...
Global Map Matching using BLE Beacons for Indoor Route and Stay Estimation
Global Map Matching using BLE Beacons for Indoor Route and Stay Estimation
IEEE MMSP'21: INCEPT: Intra CU Depth Prediction for HEVC
IEEE MMSP'21: INCEPT: Intra CU Depth Prediction for HEVC
IMPROVING PSNR AND PROCESSING SPEED FOR HEVC USING HYBRID PSO FOR INTRA FRAME...
IMPROVING PSNR AND PROCESSING SPEED FOR HEVC USING HYBRID PSO FOR INTRA FRAME...
ROLE OF DIGITAL SIMULATION IN CONFIGURING NETWORK PARAMETERS
ROLE OF DIGITAL SIMULATION IN CONFIGURING NETWORK PARAMETERS
Fpga implementation of 4 bit parallel cyclic redundancy code
Fpga implementation of 4 bit parallel cyclic redundancy code
Performance analysis of al fec raptor code over 3 gpp embms network
Performance analysis of al fec raptor code over 3 gpp embms network
Performance analysis of al fec raptor code over 3 gpp embms network
Performance analysis of al fec raptor code over 3 gpp embms network
Data quality evaluation & orbit identification from scatterometer
Data quality evaluation & orbit identification from scatterometer
IMPROVING PSNR AND PROCESSING SPEED FOR HEVC USING HYBRID PSO FOR INTRA FRAME...
IMPROVING PSNR AND PROCESSING SPEED FOR HEVC USING HYBRID PSO FOR INTRA FRAME...
IMPROVING PSNR AND PROCESSING SPEED FOR HEVC USING HYBRID PSO FOR INTRA FRAME...
IMPROVING PSNR AND PROCESSING SPEED FOR HEVC USING HYBRID PSO FOR INTRA FRAME...
Globecom 2015: Adaptive Raptor Carousel for 802.11
Globecom 2015: Adaptive Raptor Carousel for 802.11
HEVCModeDecisionFast
- 1. HEVC Block Mode Decision Algorithms A Survey of Algorithms Donald Pian April 2015
- 2. Jain and Rao: Fast Intra Mode Decision in HEVC • 3-Step Method 1. CU Early Termination A. Complex Texture CU Sub-Division 2. PU Mode Decision A. Down-Sampling Prediction B. 3-Step Search 3. Early RDOQ Termination
- 3. Fast Intra Prediction Mode Decision for HEVC
- 4. H/W-S/W Collaborative Complexity Reduction Scheme for the Emerging HEVC Intra Encoder Khan, Shafique, Grellert, Henkel • Complexity Reduction Scheme 3 Major Steps 1. The best PU sizes in the LCU are extimated for the full LCU using the variance of the LCU, generating a PU map 2. The best intra prediciton modes are estimated by computing the gradients of the PU pixels 3. Depending upon the PU size and its location in the LCU, prediction hardware modules are turned ON/OFF using clock gating and prediction is generated, 1 PU row at a time • Complexity Reduction Scheme A. Early PU Size Estimation – Using Variance B. Early Mode Exclusion and Fast Mode Selection - Gradient
- 5. Fast HEVC Encoding Decisions Using Data Mining, Correa, Assuncao, Agostini & da Silva Cruz. (1of3) • Reducing HEVC Computational Complexity by Apply ML techniques to find data patterns from intermediate encoding results – CU: Sum and Variance of Luminance Values – PU: Sum and Variance of Prediction Residual Values – PU: Horizontal and Vertica Gradients for possible PU Edge – R-D Cost of Each Splitting Mode
- 6. Fast HEVC Encoding Decisions Using Data Mining (DM), Correa, Assuncao, Agostini & da Silva Cruz. (2of3) A. Methodology – Waikato Environment fo Knowledge Analysis (WEKA) DM Software – Information Gain is measured by the Kullback- Liebler divergence (KLD) – Training of Decision Tree was performed with the C4.5 Algorithm which Uses KLD
- 7. Fast HEVC Encoding Decisions Using Data Mining (DM), Correa, Assuncao, Agostini & da Silva Cruz. (3of3) B. Early Termination for Determining Coding Trees Class Data Imbalance Problem 50% Not Split CU’s 50% Split CU’s