Low Complexity Lossless Video Compression (WA-L4)

Author(s) : Yao-Chun Fang (National Chiao Tung University, Taiwan) Chun-Yi Lee (National Chiao Tung University, Taiwan) Yin-Ming Wang (National Chiao Tung University, Taiwan) Chung-Neng Wang (National Chiao Tung University, Taiwan) Tihao Chiang (National Chiao Tung University, Taiwan)

Abstract : We present a line-based adaptive lossless video compression (LALVC) algorithm for interactive multimedia applications that demand low complexity and low delay. Since video interaction on high-resolution screens or display devices needs huge bandwidth for exchanging raw data. To reduce the transmission cost and provide video without losing data accuracy, lossless video compression is required. Considering low complexity and low delay, LALVC adopts a simple and efficient architecture that adopts one-pass, raster-scan, and transform-free coding process and a simple predictor. For low delay, zero-motion prediction and one-frame buffer are used to reduce temporal redundancy. In addition, to maximize the coding efficiency for both natural and computer-generated video sequences, LALVC adaptively selects the best coding mode for each handling line of every frame. For each line, Golomb code in entropy coding can enhance coding efficiency with less computation load and is easy for hardware implementation. The experimental results show that temporal preprocessing and line-based mode decision can increase compression ratio with properly increased complexity as compared to that of JPEG-LS.

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