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Je-Won Kang(University of Southern California), “Efficient coding techniques for high definition video”, Prof. C.-C. Jay Kuo, 2012
High definition (HD) video contents become popular and displays of higher resolution such as ultra-definition are emerging in recent years. The conventional video coding standards offer excellent coding performance at lower bit-rates. However, their coding performance for HD video contents is not as efficient. The objective of this research is to develop a set of efficient coding tools or techniques to offer a better coding gain for HD video. The following three techniques are studied in this work.
First, the author presented a Joint first-order-residual/second-order residual (FOR/SOR) coding technique. It is shown by experimental results that the proposed FOR/SOR coding algorithm outperforms H.264/AVC significantly in HD video coding with an averaged bit rate saving of 15.6%. Second, the author developed two advanced processing techniques, which are referred as to two layered transform with sparse representation (TTSR) and slant residual shift (SRS), for prediction residuals so as to improve coding efficiency. It is demonstrated by experimental results that the proposed algorithm outperforms the state-of-the-art video coding standard, High Efficiency Video Coding (HEVC). Third, the author made a contribution to the HEVC with several efficient coding tools incorporated into the two context adaptive entropy coding, i.e. , Context Adaptive Variable Length Coding (CAVLC) and Context Adaptive Binary Arithmetic Coding (CABAC).
For details, please contact the author or visit the thesis page.
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