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Optimizing FEC Function for Real-Time DV Streaming: An Experimental Analysis

This study examines the effectiveness of Forward Error Correction (FEC) in Digital Video Transmission System (DVTS) for high-quality streaming quality. The research focuses on adaptive rate control and FEC mechanisms for real-time streaming applications, emphasizing quality, timeliness, and efficient utilization of network resources. The study includes experiments on DV streaming, cost analysis, and concludes that selecting appropriate FEC encoding rates and frame rates is crucial for optimal streaming quality. Future work involves verifying algorithms for adaptive rate control, bandwidth estimation, and evaluating mechanisms in diverse communication environments.

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Optimizing FEC Function for Real-Time DV Streaming: An Experimental Analysis

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  1. Analysis of FEC Function for Real-TimeDV Streaming Kazuhisa Matsuzono, Hitoshi Asaeda, Kazunori Sugiura, Osamu Nakamura, and Jun Murai Keio University Graduate School of Media and Governance

  2. HD Camera Introduction • Due to the widespread dissemination of high speed DSL and FTTH, the demands of transmitting high quality audio and video data have been increased. • DVTS (Digital Video Transmission System) is used in various research communities. • International symposium, network collaboration game, etc. studio studio HD Camera

  3. buffer buffer Digital Video Streaming • Simply equipment • International symposium, network collaboration game, and so on.. • High quality and low delay and low cost • Resolution: 720×480,1280×720, 1440×1080 • average consumption bandwidth • About 30Mbps Receiver Sender Internet

  4. The problem of quality reduction Receiver Sender Internet bursty • According to network condition, pktloss happens • Physical bandwidth or available bandwidth • Σ(DVTS traffic + other traffic ) > available bandwidth • Congestion • Quality reducing DV/RTP packet

  5. buffer buffer Real-Time Streaming • Play quality vs Timeliness (interaction) • Packet reachable Dead Line is restricted • No utilizing the large amount of buffer • Congestion  reducing play quality • Adjusting sender’s transport method to changing network condition is very difficult • Rate control • FEC Receiver Sender

  6. Motivation • Providing seamless and high interactive streaming on End-to-End model • taking into account high quality streaming, timeliness and high bandwidth-delay network • Supportive packet loss avoidance mechanism for real-time streaming application with minimal quality loss • use the network resource effectively • Providing best possible video quality • help reducingquality losses • Hopefully collaborate within other packet @ Internet sender Internet Video frame data Changing each rate FEC data

  7. The relation between quality and FEC Video quality Quality is good? Max Situation A Optimal Point Situation B need Rate Control!! FEC rate

  8. Related Work • Rate Control • TFRC (TCP Friendly Rate Control) • DCCP (Datagram Congestion Control Protocol) • QAFEC (quality adjusted FEC) MPEG source Change of MPEG quality Internet MPEG sender Receiver Change of FEC encoding rate Video Frame of pattern 1 Video Frame of pattern 2 FEC data

  9. Design and Implementation of FEC function for DVTS • Static FEC using Reed-Solomon Code PAD RTP Header DV data FEC data Receive buffer FEC group ID = X FEC group ID = X+1 FEC group ID = X+2 DV part FEC part discard Waiting for DV data and FEC data Packet loss Waiting for FEC data Play buffer

  10. Experiments • Test bed network Sender Receiver Dummynet DV streaming • Hardware in our experiment

  11. Experimental Analysis • Costs of encoding and decoding FEC redundancy

  12. DV Frame Rate 100%

  13. DV Frame Rate 50%

  14. Conclusion • Analyzing FEC function with DV streaming • It is very effective to provide the best possible streaming quality • Using the appropriate decided frame rate and FEC encoding rate • The further disruption of video and audio could occurs • deciding non-proper FEC encoding rate and frame rate toward the current bandwidth condition

  15. Future Work • Verify and define the algorithm • Adaptive rate control and FEC for DVTS • Rate Control • Applied only when the network congestion is highly observed • FEC • Protect the quality to provide best possible streaming quality • Bandwidth estimation with packet error torelance • Probe the best combination between FEC rate and frame rate according to the current network condition • Packet loss rate, non-recovery rate, and the amount of receiver buffer • Evaluate our proposed mechanism on a heterogeneous communication enviroment

  16. Thank you !!

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