Abstract | ||
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Adaptive quantization matrix design for different block sizes is one of the possible methods to improve the RD performance in video coding and has recently attracted the focus of many researchers. In this paper, we first analyze the shortcomings of the evenly distributed distortion method which was proposed recently. In order to tackle these problems, we propose two modified methods, method I with relaxed distortion constraints and method II is iterative boundary distortion minimization problem considering variance adaptively. Both problems can be solved using convex optimization effectively and efficiently. Simulations have been conducted based on HM4.0, which is the reference software of the latest High Efficiency Video Coding (HEVC). Simulation results show the effect of our proposed methods. Both methods show their significance when evaluated by RD performance. |
Year | DOI | Venue |
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2012 | 10.1109/MMSP.2012.6343454 | MMSP |
Keywords | Field | DocType |
hm4.0,adaptive quantization matrix design,distortion redistribution,iterative boundary distortion minimization problem,matrix algebra,modified distortion redistribution problem,boundary distortion,convex programming,hevc,video coding,distributed distortion method,high efficiency video coding,convex optimization,distributed processing,iterative methods | Computer science,Matrix algebra,Distortion minimization,Coding (social sciences),Artificial intelligence,Reference software,Distortion,Computer vision,Mathematical optimization,Iterative method,Algorithm,Quantization matrix,Convex optimization | Conference |
ISSN | ISBN | Citations |
2163-3517 | 978-1-4673-4571-2 | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lin Sun | 1 | 0 | 0.34 |
Oscar C. Au | 2 | 1592 | 176.54 |
Wei Dai | 3 | 18 | 3.46 |
Ruobing Zou | 4 | 66 | 6.05 |
Sijin Li | 5 | 15 | 3.20 |