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A New Data Partitioning of DCT Coefficients for Error-resilient Transmission of Video  

Roh, Kyu-Chan (Department of EECS, KAIST)
Kim, Jae-Kyoon (Department of EECS, KAIST)
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Abstract
In the typical data partitioning for error-resilient video coding, motion and macroblock header information is separated from the texture information. It can be an effective tool for the transmission of video over the error prone environment. For Intra-coded frames, however, the loss of DCT (discrete cosine transform) coefficients is fatal because there is no ther information to reconstruct the corrupted macroblocks by errors. For Inter-coded frames, when error occurs in DCT coefficients, the picture quality is degraded because all DCT coefficients are discarded in those packets. In this paper, we propose an efficient data partitioning and coding method for DCT-based error-resilient video. The quantized DCT coefficients are partitioned into the even-value approximation and the remainder parts. It is shown that the proposed algorithm provides a better quality of the high priority part than the conventional methods.
Keywords
data partitioning; error-resilience; two-layered coding; MPEG-4;
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