Mr. Do-Kyoung Kwon Profile

Do-Kyoung Kwon

at Univ of Southern California

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Proceedings Article | 16 September 2005 Paper

An operational rate control scheme for H.264 with two-stage encoding

Do-Kyoung Kwon, Mei-Yin Shen, C.-C. Jay Kuo

Proceedings Volume 5909, 590910 (2005) https://doi.org/10.1117/12.613833

KEYWORDS: Computer programming, Detection and tracking algorithms, Distortion, Video, Quantization, Motion estimation, Video coding, Composites, Standards development, Control systems

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An operational rate control (RC) scheme based on two-stage encoding is studied in this research, where frame-layer rate control with a constant bit rate to achieve constant video quality is examined. In the first encoding stage, the R-D optimized mode decision and its associated motion estimation (RDO) as well as DCT/Q, IQ/IDCT and entropy coding are performed for all macroblocks (MBs) for a target frame using an initial quantization parameter (QP), which is the QP of its previous frame. In the second encoding stage, the residual signal from the first stage is encoded using several QP values around the initial QP. Given the target bits and distortion for the current frame, the residual signal is finally encoded using the QP determined by comparing target bits and distortion with actual bits and distortion. To reduce the additional coding complexity of the two-stage encoding, upper and lower bounds around target bits and distortion are employed to reduce the number of encoding required in the second stage. Experimental results are given to show the superior performance of two proposed rate control algorithms, where one targets at the constant bit rate while the other at constant quality.

Proceedings Article | 14 March 2005 Paper

An improved adaptive deblocking filter for MPEG video decoder

Do-Kyoung Kwon, Mei-Yin Shen, C.-C. Jay Kuo

Proceedings Volume 5685, (2005) https://doi.org/10.1117/12.589575

KEYWORDS: Linear filtering, Video, Digital filtering, Quantization, Image filtering, Computer programming, Smoothing, Autoregressive models, Image quality, Video compression

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A highly adaptive de-blocking algorithm is proposed for MPEG video, which is improved in three ways compared to previous algorithms. First of all, the proposed algorithm is adaptive to quantization parameter (QP) change. Since blocking artifacts between two blocks encoded with different QPs tend to be more visible due to quality difference, filters should be able to dynamically adapt to QP change between blocks. Secondly, the proposed algorithm classifies block boundary into three different region modes based on local region characteristics. The three region modes include active, smooth and dormant region. By applying different filters of different smoothing strengths to each region mode, the proposed algorithm can minimize undesirable blur so that both subjective and objective qualities improve for various type of sequences at a wide range of bitrates. Finally, the proposed algorithm also provides threshold determination methods. Adaptive de-blocking algorithms require several thresholds for mode decision as well as filtering decision. Since quality of video sequences after filtering depends largely on them, each threshold should be determined carefully. In the proposed algorithm, thresholds are determined adaptively to strength of blocking artifact, therefore adaptively to various encoding parameters such as QP, absolute difference between QPs, and block coding type, which are closely related to strength of blocking artifact. The experimental results show the proposed algorithm can achieve 0.2-0.4 dB gain for I- and P-frames, and 0.1-0.3 dB gain for the B-frames when bitstreams are encoded by using the TM5 rate control algorithm.

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