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Project DescriptionCoding mode selection is one of the most important modules in digital video encoding. Video compression standards provide multiple strategies (modes) in order to encode a source block image efficiently. In general, mode selection should be based on rate constraints or/and distortion requirements, etc. Lagrangian rate-distortion optimization which simulates actual encoding process is successfully applied to mode selection problem. However, it is almost impossible to implement the method in most power-limited or computation-limited applications because of its prohibitive computational complexity. Our research efforts focus on low complexity mode selection method while maintaining rate-distortion optimality. Another important encoder module is motion estimation. Motion estimation is the most computationally intensive module in video encoders. Especially, in the latest video compression standard, H.264/AVC, variable motion compensation blocks are introduced, which means that each block requires motion estimation. We focus on reducing adaptively the number of motion compensation blocks as well as developing fast motion estimation algorithms.
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Last Updated: October 29, 2008 |