2006 IEEE International Conference on Multimedia and Expo
Joint Rate-Distortion-Complexity Optimization for H.264 Motion Search
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
Yu Hu, Integrated Media Systems Center and Department of Electrical Engineering, University of Southern California, Los Angeles, California, 90089
Qing Li, Integrated Media Systems Center and Department of Electrical Engineering, University of Southern California, Los Angeles, California, 90089
Siwei Ma, Integrated Media Systems Center and Department of Electrical Engineering, University of Southern California, Los Angeles, California, 90089
C.-c. Kuo, Integrated Media Systems Center and Department of Electrical Engineering, University of Southern California, Los Angeles, California, 90089
A joint rate-distortion-complexity H.264 motion search framework is proposed to balance the encoder's coding efficiency and complexity in an embedded system environment. Under our framework, the complexity of H.264 motion search is primarily measured by the execution time of the sum of absolute differences (SAD) calculation. Two Lagrange parameters are used to terminate the complexity-inefficient motion search rounds and skip redundant motion search of small block modes, respectively. Then, the relationship between the weighted complexity and the Lagrange parameters is explored to allocate the complexity cost among different coding units. It is demonstrated by experimental results that the proposed method can reduce the complexity without much sacrifice in coding efficiency.
Citation:
Yu Hu, Qing Li, Siwei Ma, C.-c. Kuo, "Joint Rate-Distortion-Complexity Optimization for H.264 Motion Search," icme, pp.1949-1952, 2006 IEEE International Conference on Multimedia and Expo, 2006
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