Robust video transmission using adaptive bit allocation

Wei Ying Kung, Chang Su Kim, Robert Ku, C. C.Jay Kuo

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


A jointly designed source-channel coding technique that protects video signals against transmission errors is proposed in this work. We develop a low-complexity source model which can estimate the bitrate and the quantization error for each packet. Also, the channel distortion is estimated based on the packet importance and the packet loss rate. The packet importance is measured as the mean square error between the errorfree reconstruction and the concealed reconstruction, and the packet loss rate is determined by channel conditions. According to the informed channel condition, the encoder adaptively assigns the quantization parameter and the channel code rate to each packet so that the expected mean square error due to source and channel distortions is minimized subject to a constraint on the overall bitrate. Simulation results show that the proposed adaptive system provides acceptable image quality even in a high bit error rate environment.

Original languageEnglish
Pages (from-to)301-312
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4671 I
Publication statusPublished - 2002
Externally publishedYes
EventViual Communications and Image Processing 2002 - San Jose, CA, United States
Duration: 2002 Jan 212002 Jan 23


  • Channel code assignment
  • Joint source-channel coding
  • QP adaptation
  • Wireless video transmission

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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