This document discusses a quality-differentiated video multicast scheme for multirate wireless networks. It proposes a rate scheduling model that selects the optimal transmission bitrate for each video frame to maximize total visual quality while guaranteeing a minimum quality. It also presents QDM, a practical protocol that constructs cluster-based structures to characterize client heterogeneity and adapts the transmission bitrate based on video quality perceived by cluster heads. Evaluation shows QDM can efficiently adapt to network dynamics and variable video bitrates, producing a gain of 2-5 dB in average video quality compared to leader-based approaches.
The objective of study is to guarantee QoS for multiple service class traffic in a multiple connection environment and to examine a case of QoS deployment over a cellular WiMAX network. In particular, the thesis compares the performance how much bandwidth for voip
The objective of study is to guarantee QoS for multiple service class traffic in a multiple connection environment and to examine a case of QoS deployment over a cellular WiMAX network. In particular, the thesis compares the performance how much bandwidth for voip
Techniques of achieving google quality of serviceSatya P. Joshi
Techniques of achieving google quality of service in multimedia and communication, Techniques of achieving google quality of service, Techniques of achieving google quality of service,
Fundamental of Quality of Service(QoS) Reza Farahani
This slide contains fundamental concept about Quality of Service (QoS) technolog, according to the latest version of Cisco books (CCIE R&S and CCIE SP) and i taught it at IRAN TIC company.In the next slide, i upload advanced topic about this attractive technology.
Cisco Webex dictado por el Cisco Learning Partner en Fundación Proydesa a más de 20 Academias Locales del país, Bolovia y Paraguay. Realizada en marco del acuerdo entre Fundación Proydesa y la filial Argentina de SLS LATAM, con el objeto de investigar, desarrollar y promover la formación en y con tecnología. Más info. en http://proydesa.org/portal/
Quality of Service (QoS) is an important concept in any network which ultimately leads to network efficiency and customer satisfaction. In this PPT, we deal mainly with the Quality of Service aspects relating to Femto Access Point (FAP) of UMTS technology. PPT mainly deals with the Guaranteed Bit Rate (GBR) implementations.
Quality of Service at the Internet Engineering Task ForceJohn Loughney
"Quality of Service at the Internet Engineering Task Force" Workshop on "End-to-End Quality of Service. What is it? How do we get it?" Geneva, 1-3 October 2003.
Techniques of achieving google quality of serviceSatya P. Joshi
Techniques of achieving google quality of service in multimedia and communication, Techniques of achieving google quality of service, Techniques of achieving google quality of service,
Fundamental of Quality of Service(QoS) Reza Farahani
This slide contains fundamental concept about Quality of Service (QoS) technolog, according to the latest version of Cisco books (CCIE R&S and CCIE SP) and i taught it at IRAN TIC company.In the next slide, i upload advanced topic about this attractive technology.
Cisco Webex dictado por el Cisco Learning Partner en Fundación Proydesa a más de 20 Academias Locales del país, Bolovia y Paraguay. Realizada en marco del acuerdo entre Fundación Proydesa y la filial Argentina de SLS LATAM, con el objeto de investigar, desarrollar y promover la formación en y con tecnología. Más info. en http://proydesa.org/portal/
Quality of Service (QoS) is an important concept in any network which ultimately leads to network efficiency and customer satisfaction. In this PPT, we deal mainly with the Quality of Service aspects relating to Femto Access Point (FAP) of UMTS technology. PPT mainly deals with the Guaranteed Bit Rate (GBR) implementations.
Quality of Service at the Internet Engineering Task ForceJohn Loughney
"Quality of Service at the Internet Engineering Task Force" Workshop on "End-to-End Quality of Service. What is it? How do we get it?" Geneva, 1-3 October 2003.
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Priority scheduling for multipath video transmission in wmsnsIJCNCJournal
In video data transmission over Wireless Multimedia Sensor Networks (WMSNs), in which network
congestion and link failures are main characteristics, providing Quality-of-Service (QoS) is challenging. In
such situation, using multipath routing protocols along with efficient packet scheduling can improve the
performance of video delivery over sensor networks. In this paper we propose a new packet scheduling
mechanism for multipath video transmission over WMSN. Since, different video frame types in a
compressed video stream have different impact on the perceived video at the receiver; our proposed
scheme for video packet scheduling is content aware that schedules transmission of different video packets
over different paths. For this purpose, condition of each routing path is periodically evaluated and the high
priority video packets are transmitted through high quality paths. Simulation results show that our
proposed scheduling improves the quality of the perceived video at the receiver, considerably.
The main problem is to avoid the complexity of retrieving the video content without streaming problem in multi network clients. The proposed work is to improve Collaboration among streaming contents on server resources in order to improve the network performance. Implementing network collaboration on a content delivery scenario, with a strong reduction of data transferred via servers. Audio and video files are transmitted in blocks to clients through the peer using the Network Coding Equivalent Content Distribution scheme. The objective of the system is to tolerate out-of-order arrival of blocks in the stream and is resilient to transmission losses of an arbitrary number of intermediate blocks, without affecting the verifiability of remaining blocks in the stream. To formulate the joint rate control and packet scheduling problem as an integer program where the objective is to minimize a cost function of the expected video distortion. Suggestions of cost functions are proposed in order to provide service differentiation and address fairness among users.
A real time adaptive algorithm for video streaming over multiple wireless acc...Softroniics india
A real time adaptive algorithm for video streaming over multiple wireless access networks
Video streaming is gaining popularity among mobile users. The latest mobile devices, such as smart phones and tablets, are equipped with multiple wireless network interfaces. How to efficiently and cost-effectively utilize multiple links to improve video streaming quality needs investigation. In order to maintain high video streaming quality while reducing the wireless service cost, in this paper, the optimal video streaming process with multiple links is formulated as a Markov Decision Process (MDP). At Softroniics we provide job oriented training for freshers in IT sector. We are providing IEEE project guidance and Final year project guidance. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI, Modelsim, Tanner, Xilinx etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing and many other. We are providing long term and short term internship also. Attached is a Android project abstract for which we are providing support at Calicut, Thrissur and Palakkad. For more details contact 9037291113, 9995970405.
A Real-Time Adaptive Algorithm for Video Streaming over Multiple Wireless Acc...Priti Kana
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(Paper) MTcast: Robust and Efficient P2P-based Video Delivery for Heterogeneo...Naoki Shibata
In this paper, we propose a new video delivery method called MTcast (Multiple Transcode based video multicast) which achieves efficient simultaneous video delivery to multiple users with different quality requirements by relying on user nodes to transcode and forward video to other user nodes. In MTcast, each user specifies a quality requirement for a video consisting of bitrate, picture size and frame rate based on the user’s environmental resource limitation. All users can receive video with the specified quality (or near this quality) along a single delivery tree. The main characteristics of MTcast are in its scalability, high user satisfaction degree in received video quality, short startup latency and robustness against node failure. Through simulations, we have confirmed that MTcast can achieve much higher user satisfaction degree and robustness against node failure than the layered multicast method.
An SDN Based Approach To Measuring And Optimizing ABR Video Quality Of Experi...Cisco Service Provider
Reprinted with permission of NCTA, from the 2014 Cable Connection Spring Technical Forum Conference Proceedings. For more information on Cisco video solutions, visit: http://www.cisco.com/c/en/us/products/video/index.html
Quality adaptive p2 p streaming using svc ricky 9876059 - multimedia data c...
Quality differentiated video multicast in multirate wireless networks
1. QUALITY-DIFFERENTIATED VIDEO MULTICAST IN MULTIRATE
WIRELESS NETWORKS
ABSTRACT:
Adaptation of modulation and transmission bit-rates for video multicast in a multirate wireless
network is a challenging problem because of network dynamics, variable video bit-rates, and
heterogeneous clients who may expect differentiated video qualities. Prior work on the leader-
based schemes selects the transmission bit-rate that provides reliable transmission for the node
that experiences the worst channel condition.
However, this may penalize other nodes that can achieve a higher throughput by receiving at a
higher rate. In this work, we investigate a rate-adaptive video multicast scheme that can provide
heterogeneous clients differentiated visual qualities matching their channel conditions. We first
propose a rate scheduling model that selects the optimal transmission bitrate for each video
frame to maximize the total visual quality for a multicast group subject to the m inimum-visual-
quality-guaranteed constraint.
We present a practical and easy-to-implement protocol, called QDM, which constructs a cluster-
based structure to characterize node heterogeneity and adapts the transmission bit-rate to network
dynamics based on video quality perceived by the representative cluster heads. Since QDM
selects the rate by a sample-based technique, it is suitable for real-time streaming even without
any preprocess. We show that QDM can adapt to network dynamics and variable video-bit rates
efficiently, and produce a gain of 2-5 dB in terms of the average video quality as compared to the
leader-based approach.
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