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Technical Program
Paper Detail
| Paper: | MA-L2.2 |
| Session: | H.264 Video Coding - I |
| Time: | Monday, October 9, 10:00 - 10:20 |
| Presentation: |
Lecture
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| Title: |
RATE-DISTORTION AND COMPLEXITY JOINT OPTIMIZATION FOR FAST MOTION ESTIMATION IN H.264 VIDEO CODING |
| Authors: |
Hasan Ates; Isik University | | | | | Berkay Kanberoglu; Isik University | | | | | Yucel Altunbasak; Georgia Institute of Technology | | |
| Abstract: |
H.264 video coding standard offers several coding modes including inter-prediction modes that use macroblock partitions with variable block sizes. Choosing a rate-distortion optimal mode among these possibilities contributes significantly to the superior coding efficiency of the H.264 encoder. Unfortunately, searching for optimal motion vectors of each possible subblock incurs a heavy computational cost. In this paper, in order to reduce the complexity of integer-pel motion estimation, we propose a rate-distortion and complexity joint optimization method that selects for each MB a subset of partitions to evaluate during motion estimation. This selection is based on simple measures of spatio-temporal activity within the MB. The procedure is optimized to minimize mode estimation error at a certain level of computational complexity. Simulation results show that the algorithm speeds up the motion estimation module by a factor of up to 20 with little loss in coding efficiency. |
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