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Content Provider | IEEE Xplore Digital Library |
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Author | Dongming Zhang Chao Huang Shouxun Lin Yanfei Shen Lejun Yu |
Copyright Year | 2004 |
Description | Author affiliation: Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China (Dongming Zhang; Chao Huang; Shouxun Lin; Yanfei Shen; Lejun Yu) |
Abstract | H.264 allows tree-structured partitioning motion estimation performing on multiple reference frames. This new feature improves the prediction accuracy of inter-coding blocks significantly, but it is extremely computational intensive. The complexity of motion estimation increases linearly with the number of used reference frames and is in proportion to the number of modes. This disables some applications on computations-constrained platform. Complexity scalable algorithm is an algorithm that has several computation scales, each of which adapts to certain computation power platform. In this paper, we propose a complexity scalable algorithm for motion estimation in H.264 based on mode preselection in multiple reference frames. This proposed algorithm has 4 computation scales consisting of 72%, 47%, 33% and 20%. Simulation results show that this algorithm can effectively reduce complexity of motion estimation with gracefully degraded quality from the original. |
Starting Page | 1183 |
Ending Page | 1186 |
File Size | 716705 |
Page Count | 4 |
File Format | |
ISBN | 0780384067 |
DOI | 10.1109/ICOSP.2004.1441535 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2004-08-31 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Motion estimation Encoding Degradation Chaos Accuracy Computer applications Video coding Motion compensation Transform coding Computational efficiency |
Content Type | Text |
Resource Type | Article |
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