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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Oba, K. Bandou, T. Tian Song Shimamoto, T. |
| Copyright Year | 2010 |
| Description | Author affiliation: Computer Systems Engineering, Department of Institute of Technology and Science, Graduate School of Engineering, Tokushima University, Minami-Jyosanjima 2-1, Tokushima City, 770-8506, Japan (Tian Song; Shimamoto, T.) || Electrical and Electronic Engineering, Graduate School of Engineering, Tokushima University, Minami-Jyosanjima 2-1, Tokushima City, 770-8506, Japan (Oba, K.; Bandou, T.) |
| Abstract | In this paper, an efficient search center definition algorithm is proposed for H.264/AVC. H.264/AVC achieved high coding efficiency by introducing some new coding tools including a new definition of the search center. However, the definition of the search center is not efficient in the case of significant motions. This work proposes some new search center candidates using spatial and temporal correlations of motion vectors to improve the coding efficiency. Simulation results show that the proposed search centers can achieve very much bit saving but induced high computation complexity. Additional complexity reduction algorithm is also introduced to improve the trade off between bit saving and implementation performance. This work realized a maximum bit saving of 19%. |
| Starting Page | 58 |
| Ending Page | 61 |
| File Size | 331622 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424471348 |
| e-ISBN | 9781424471355 |
| DOI | 10.1109/PCS.2010.5702571 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-08 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Rate-Distortion Optimization Motion estimation Simulation Bit rate Motion Estimation Prediction algorithms Automatic voltage control Encoding Inter prediction Complexity theory H.264/AVC |
| Content Type | Text |
| Resource Type | Article |
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