Automatic network-adaptive ultra-low-bit-rate video coding

Wei Jung Chien, Tuyet Trang Lam, Glen P. Abousleman, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper presents a software-only, real-time video coder/decoder (codec) for use with low-bandwidth channels where the bandwidth is unknown or varies with time. The codec incorporates a modified JPEG2000 core and interframe predictive coding, and can operate with network bandwidths of less than 1 kbits/second. The encoder and decoder establish two virtual connections over a single IP-based communications link. The first connection is UDP/IP guaranteed throughput, which is used to transmit the compressed video stream in real time, while the second is TCP/IP guaranteed delivery, which is used for two-way control and compression parameter updating. The TCP/IP link serves as a virtual feedback channel and enables the decoder to instruct the encoder to throttle back the transmission bit rate in response to the measured packet loss ratio. It also enables either side to initiate on-the-fly parameter updates such as bit rate, frame rate, frame size, and correlation parameter, among others. The codec also incorporates frame-rate throttling whereby the number of frames decoded is adjusted based upon the available processing resources. Thus, the proposed codec is capable of automatically adjusting the transmission bit rate and decoding frame rate to adapt to any network scenario. Video coding results for a variety of network bandwidths and configurations are presented to illustrate the vast capabilities of the proposed video coding system.

Original languageEnglish (US)
Title of host publicationVisual Information Processing XV
DOIs
StatePublished - Aug 23 2006
EventVisual Information Processing XV - Kissimmee, FL, United States
Duration: Apr 18 2006Apr 19 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6246
ISSN (Print)0277-786X

Other

OtherVisual Information Processing XV
CountryUnited States
CityKissimmee, FL
Period4/18/064/19/06

Keywords

  • JPEG2000
  • Network-adaptive
  • Predictive coding
  • Ultra-low-bit-rate video coding

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Chien, W. J., Lam, T. T., Abousleman, G. P., & Karam, L. (2006). Automatic network-adaptive ultra-low-bit-rate video coding. In Visual Information Processing XV [624606] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6246). https://doi.org/10.1117/12.665069