Isce logo detection_tcs
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The document discusses recognizing channel logos from analog video in real-time for applications like electronic program guides. It presents a system that extracts features from the region of interest, generates templates, and performs real-time recognition on the DSP core. Optimization techniques like reducing color conversions and using hardware accelerators reduced the logo detection time from 5 to 2 seconds while maintaining high recall and precision rates.
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While the streaming media market is rapidly evolving
throughout the world, China is clearly leading the way in
OTT deployment. With over 738 Million internet users[1],
China heads the world. (Compare this to the United States
with fewer than 300 Million users.)[2] Internet penetration
in China is growing very quickly – from a mere 16 percent
in 2007 to over 55 percent in 2015. The explosive growth in
Internet users has subsequently spawned a tremendous
demand for OTT video. An estimated 229 Chinese people
will watch video via an OTT streaming subscription in
2018. [3] Fueled by such demand, China is putting OTT into
practice faster than any other geography.
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Lisun Electronics produces a line of spectrophotometers under the HSCD series for measuring color. The brochure provides contact and location information for Lisun's global offices and factories. It also summarizes the key features and technical specifications of the HSCD spectrophotometer models, including their measurement capabilities, sensors, color indicators, repeatability, and optional accessories.
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1) QoS-aware video transmissions and low-complexity video security for applications like video chat and distance education.
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More from Arpan Pal
Mobisys io t_health_arpanpal
The document discusses using affordable sensing technologies for data-driven healthcare applications in screening, diagnosis, and therapy. It describes challenges in healthcare access and affordability in developing and developed countries. The TCS HeartSense and RehabBox technologies are presented as using sensors like PPG, PCG and Kinect to enable affordable screening for conditions like CAD, hypertension, and remote rehabilitation for stroke patients. Pilot studies show potential for these technologies to provide early screening and monitoring of diseases. The document outlines several publications and patents from ongoing work in this area.
Tcs tele rehab-hod-0.4
1. Tele-rehabilitation aims to provide rehabilitation services to patients in their homes using remote monitoring and virtual therapy sessions to reduce costs and increase access to care.
2. Current rehabilitation methods are very expensive, with quantitative gait analysis systems costing $200k, and many patients do not receive needed rehabilitation after discharge from hospitals.
3. TCS proposes a low-cost tele-rehabilitation platform using sensors and games to monitor patients' physical and cognitive exercises at home or in clinical settings, with doctors providing remote feedback and monitoring progress through a cloud-based system.
Io t standard_bis_arpanpal
The document discusses the need for standardization in the Internet-of-Things (IoT). It notes that IoT involves a highly heterogeneous set of sensors, devices, and data that needs interoperability standards. It describes some existing standards for different IoT layers including networking, data formats, protocols, and interfaces. The document advocates for both syntactic and semantic interoperability standards and outlines Tata Consultancy Services' contributions to various standards bodies.
Healthcare arpan pal gws
Data-driven healthcare using affordable sensing can help address problems in both developed and developing countries by enabling remote 24/7 monitoring, automated alerts, personalized diagnostics and prognostics, and discovery of new treatment protocols. This document outlines an Internet-of-Things based system that uses sensors in mobile phones, wearables and other devices to monitor patients' physiological signals and activity remotely. Challenges in accurate sensing are addressed through techniques like noise removal and orientation correction. Initial results on conditions like coronary artery disease show potential for low-cost early detection and risk profiling.
Io t of actuating things
The document discusses the Internet of Actuating Things and challenges related to devices that can cause physical changes in state. It notes that actuating things present responsibilities around authentication, timeliness, security, and unintended actuations. Robots are proposed as a type of actuating thing in IoT applications such as public safety, agriculture, and infrastructure monitoring. The document outlines technology challenges for wireless robotics networks, including variable communication ranges, mobility, dynamic topologies, and real-time communication for actuation.
Arpan pal u-world
This document discusses using ubiquitous devices like mobile phones and set top boxes as gateways for internet-of-things applications. It describes a road monitoring application that uses sensors in mobile phones to detect potholes and bumps. It also outlines a home monitoring solution that uses a set top box as a gateway to monitor energy and water usage through smart meters and detect issues like water leaks through sensors. The document concludes by discussing intelligent user interfaces and using the most common devices like phones, TVs and computers as interfaces.
Arpan pal csi2012
This document discusses using unobtrusive sensing to discover personal context through mobile phone sensors, 3D cameras, wearable devices, and online data. It describes sensing location, proximity, activity, identity, cognitive load, and physiological parameters to understand physical, individual, and community context. Example applications include customer behavior studies, crowdedness monitoring, wellness tracking, and organizational behavior analysis. The approach involves multimodal fusion of smartphone sensors, Kinect-style cameras, wearable EEG devices, and social media/email data to provide context discovery services while preserving user privacy.
Arpan pal ncccs
This document summarizes Arpan Pal's presentation on communication and signal processing technologies for intelligent infrastructure and cyber-physical systems. It outlines the challenges of reducing communication costs, preserving battery power, and extracting information from noisy sensor data. It then provides examples of applying these technologies to intelligent transportation systems using accelerometer analytics on buses to analyze road conditions, home energy management through non-intrusive load monitoring of energy meter data, and mobile phone-based wellness applications using sensors to count steps, measure pulse, and classify activities. It also introduces RIPSAC, a generic platform developed by TCS for Internet of Things applications.
Arpan pal tac tics2012
The document discusses intelligent infrastructure applications and technologies. It describes research areas like modeling cyber physical systems, sensor data collection and analytics, communication protocols, and developing an integrated platform. Use cases presented include intelligent transportation, healthcare, energy, stores, safety, compliance, homes, and agriculture. The research aims to address challenges of sensor data extraction, analytics, privacy and system performance and scalability.
Arpan pal u world2012
This document proposes a system for personal and community context discovery as a service. It suggests using mobile phone sensors, 3D cameras, and web data in a non-intrusive way to gather information on location, proximity, activity, and identity to discover individual behaviors and community patterns. A multimodal fusion approach is recommended to integrate these context sources for improved accuracy. An IoT platform is presented as a way to implement and deploy this context discovery service for application developers.
Arpan pal gridcomputing_iot_uworld2013
This document discusses distributed edge computing for internet of things applications. It describes how edge devices can be used for distributed computing to process large amounts of sensor data in real-time. The challenges of using edge devices include communication costs, preserving battery life on devices, and handling the varying capabilities of different edge devices. The document proposes using an agent-based distributed computing framework like CONDOR that can schedule jobs across heterogeneous edge devices through common middleware. It provides an example of using this approach for adaptive wind forecasting applications.
Arpan pal besu
This document discusses using social media as a "soft sensor" for intelligent infrastructure and human-centric cyber-physical systems. It outlines how natural language processing and emotion mining of social media posts can provide insights into public safety, transportation, and healthcare. The document also describes TCS's RIPSAC IoT platform and how it could integrate social media analytics technologies to power applications in various domains. TCS has innovation labs conducting research in areas like social media analytics and academic collaborations to foster joint innovation.
Bitm2003 802.11g
This document discusses wireless technologies and the IEEE 802.11g OFDM system. It provides an overview of cellular wireless systems and wireless networks. It then describes the key aspects of 802.11g OFDM such as OFDM, the PHY layer frame structure, and the development framework. It also discusses simulation issues, receiver algorithms, implementation challenges, simulation results, and security algorithms. It concludes with areas of future work around convergence to 4G wireless systems.
Contest presentation ocr
This document describes a proposed system for creating interactive mashups of television news and related web information. The system would use optical character recognition to extract text from TV video frames, search the internet or RSS feeds for related contextual information, and blend the internet content with the TV video for display. Currently the solution is demonstrated on a PC with recorded TV video, but is proposed to eventually run on TCS' Home Infotainment Platform. The value proposition is that it would enrich the TV viewing experience by providing additional related online content informed by the TV program context.
Contest presentation epg
The document discusses a proposed system to provide electronic program guides (EPGs) for analog cable TVs in India by detecting the channel logo of the currently viewed program. The system would localize and recognize the channel logo, download the corresponding EPG data from the internet, and render the EPG information blended with the TV video. A demo was presented capturing a TV screen during channel changes, showing the logo detection and EPG fetching and rendering. The solution could enrich the viewer experience for analog cable TV users and provide multiple levels of EPG data in a hierarchical manner by linking to additional online information.
Embedded
The document provides an overview of embedded system design components and processes. It discusses fabless hardware design including VLSI design tools and flows. It also describes board level design considerations and software design flows for different hardware platforms like FPGA/SOC, programmable DSP/SOC, and reconfigurable architectures. The key steps involved in algorithm design, simulation, synthesis, physical design, fabrication and board testing are outlined.
Grid computing iot_sci_bbsr
Grid computing can be used to distribute computing tasks from internet-of-things (IoT) devices to edge devices to reduce costs and preserve battery power at the edge. Edge devices have unused computing resources that can be utilized as part of a grid. Communication techniques like CoAP reduce bandwidth usage compared to HTTP. TCS has developed an IoT platform called RIPSAC that incorporates services for device management, analytics, applications, storage, messaging and middleware to support grid computing in IoT environments.
Euro india2006 wirelessradioembeddedchallenges
This document discusses challenges in developing embedded systems for wireless radio technologies. It describes the engineering and technology challenges, including needing to support field upgrades, comprehensive testing, delayed hardware availability, and stringent development schedules while keeping costs and power consumption low. It also outlines some common hardware platforms used for wireless radio, including ASICs, DSPs, FPGAs, and software-defined radios. The document then provides two case studies on developing a 3G protocol conformance tester and an IEEE 802.16 WiMAX MAC system to demonstrate challenges and solutions.
Generic mac
This document presents a generic framework for expediting the development of Layer 2 MAC protocols. The framework includes common functionalities, a system model based on multithreaded modules, and a state handler matrix. It provides network and physical layer abstraction, a common library, and an OSAL. The framework reduces MAC development time by 40% and was used to implement a WMAN MAC. The roadmap includes packaging the framework as a wizard and enriching the library with new functions.
Heig tcs
The document proposes a home energy information gateway system that uses a television and over-the-top box to display energy consumption data from a smart meter. The system connects the smart meter to the internet via the over-the-top box to allow remote energy monitoring, billing data access for utilities, and control of home appliances. The system is designed to be low-cost and provide additional functions like media playback and web browsing through the television interface.
More from Arpan Pal (20)
Isce logo detection_tcs
- 1. 1 Tanushyam Chattopadhyay, Soumik Sengupta, and Aniruddha Sinha Presented By Arpan Pal, Innovation Lab, TCS May 17, 2015 Recognition of Channel Logo from Analog video: An Embedded Realization
- 2. Points to cover • Problem Statement • System Requirement and Design • Complexity Analysis • Optimization Techniques Used • Results and Discussion
- 3. 3 Problem Statement More than 90% of TV viewers are having analog reception in India and developing countries There is a need to channel logo for several applications like – Providing EPG on real time – Real time TV viewership analysis – User view time analysis There is a need for real time execution of such algorithm Most of the existing methods are not embeddable
- 4. 4 TV Tuner CardAnalog TV feed (Cable TV) TCS Home Infotainment Platform (Browser with Internet Connectivity) A/V IN of STB A/V OUT Of STB TV Screen Internet Connection Information related to the currently viewed program Co-axial TV IN A/V IN to TV CRT and Speakers A/V Out of TV Tuner Deployment Scenario Traditional TV TV Content blended with EPG information
- 5. 5 System Requirement and Design Metric Requirement Performance Should take less than 2 seconds to detect or return an error code Quality There should not be any false positive System Attributes Misses should be less than 3% Collect the video frame Time to generate logo score? Collect the video frame Channel change detection N o Y N o Y Logo Score generation Logo detection
- 6. 6 Overview of the Logo Detection Algorithm Reference T. Chattopadhyay, A. Sinha, A. Pal, D. Pradhan and S. Roy Chowdhury, “Recognition of Channel Logos from Streamed Videos for Value Added Services in Connected TV,” Proc. of the 29th International Conference on Consumer Electronics (ICCE’11), Page(s) 25-26, US, Jan 2011
- 7. 7 Feature Extraction from ROI Localization of channel logo region Color quantization to 36 color bins Pixel of interest (POI) detection Generate template file (XML) ( ) i yxfiyxa yxa ii i ),()1(*),( ),( 1 +− = − )),(),((),(),( 1 yxfyxaabsyxdyxd iiii −+= − var),(,CAREDONT),( Thyxvyxyxf ii >∋∀=
- 8. 8 Real-time Recognition and Decision •Tested with over 80 Indian TV channels • Recall rate - 0.97 • Precision - 0.99
- 9. 12 ARM-DSP Communication M – Number of frames to accumulate N – Number of frames to skip between two accumulated frames ROI – Region of interest in the frame for accumulation
- 10. 13 Complexity Analysis (Memory) Section Requirement Code Section 655K Data Section 320K Stack 1K Heap 10K PARAMET ER DESCRIPTION CLOCK 600 MHZ INTERNAL MEMORY 32KB L1 PROGRAM CACHE, 32KB L1 DATA CACHE AND 128KB L2 CACHE EXTERNAL MEMORY 256MB EXTERNAL RAM FUNCTION AL UNITS EIGHT INDEPENDENT FUNCTIONAL UNITS OF ADDITION AND MULTIPLY INTERNAL REGISTERS 64 32-BIT GENERAL PURPOSE PROCESSORS Specifications for the DSP Core Memory usage by Algorithm
- 11. 14 Complexity Analysis (Time) Module Name Calls Self ms/call % time yuv422toRGB 8008 17.81 71.5 MatchWithTemplate 17681664 0 14.87 RGBtoHSV 17681664 0 8.21 Main 1 0 3.6 ComputeBinHistogram 8008 0.41 1.65 CalcBhattacharya 8008 0.02 0.09 Candidates for optimizations
- 12. 15 Optimization Techniques Used Reduction of number of calls: Number of RGBtoHSV() is reduced Reducing the floating point operations: used for converting the YUV422 to RGB Use of hardware accelerators – VLIB_convertUYVYint_to_HSLpl() – IMG_corr_gen()
- 13. 16 Results APIs CPU cycles before optimization CPU cycles after optimization Improvement in % VLIB_convertUYVYint _to_HSLpl() 3.552x10^8 2.74x10^7 92.28 IMG_corr_gen() 3.908x10^6 3.492*10^6 10.64 Logo detection time is reduced to 2 sec. from 5 sec. with templates of 80 logos
- 15. 18 References 1. T. Chattopadhyay, A. Sinha, A. Pal, D. Pradhan and S. Roy Chowdhury, “Recognition of Channel Logos from Streamed Videos for Value Added Services in Connected TV,” Proc. of the 29th International Conference on Consumer Electronics (ICCE’11), Page(s) 25-26, US, Jan 2011 2. T. Chattopadhyay, and C. S. Agnuru, “Generation of Electronic Program Guide for RF fed TV Channels by Recognizing the Channel Logo using Fuzzy Multifactor Analysis”, Proc. of the 14th International Symposium on Consumer Electronics (ISCE’10), 7-10 June, Germany, 2010 3. E. Esen, M. Soysal, T. K. Ates, A. Saracoglu, A. Aydin Alatan, “A fast method for animated TV logo detection,” CBMI 2008. Page(s) .236-241, June 2008. 4. Ekin, A.; Braspenning, E.; “Spatial detection of TV channel logos as outliers from the content,” in Proc. VCIP. SPIE, 2006. 5. J Wang, L Duan, Z Li, J Liu, H Lu, JS Jin, “A robust method for TV logo tracking in video streams,” ICME, 2006. 6. N.Ozay, B. Sankur, “Automatic TV Logo Detection And Classification In Broadcast Videos,” EUSIPCO 2009, Page(s) 839-843, Scotland, 2009. 7. http://en.wikipedia.org/wiki/Bhattacharyya_distance 8. J. Flusser, and T. Suk, “Affine Moment Invariants: A new tool for character recognition,” Pattern Recognition Letters, Vol 15, page(s) 433-436, 1994
Editor's Notes
- Low S. V : 8 combination High S and V : 2x2x7 combination POI – average out to nullify video region from logo region
- Blue screen check
- Correlation coefficient for template macthing
- Overlap in logo template regions