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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ahmadianpour, F. Ahmad, M.O. |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada (Ahmadianpour, F.; Ahmad, M.O.) |
| Abstract | This paper presents a fast block-based motion estimation algorithm based on a bit plane technique. This algorithm can produce the eligible candidates for finding the enhanced motion vectors. The proposed method translates the expensive 2D block-matching problem to a simpler 1D matching by choosing some blocks as eligible candidates and eliminating the others. The bit-plane idea combined with the enhanced motion vector leads to a novel motion estimation algorithm. This novel algorithm offers computational scalability through two parameters, so the speed/performance trade-off of the proposed method can easily be controlled. Experiments show that the proposed method is several times faster than the full search algorithm and it produces a better prediction performance. There are some cases in which existing motion estimation techniques obtain a false motion vector with a huge prediction error, while the proposed method can find an enhanced motion vector with an excellent accuracy. |
| Sponsorship | IEEE Comput. Soc. Task Force on Inf. Technol. Bus. Appl |
| Starting Page | 519 |
| Ending Page | 523 |
| File Size | 318688 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769519164 |
| DOI | 10.1109/ITCC.2003.1197583 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-04-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion estimation Search methods Computational complexity Brightness Video coding Video compression Scalability Redundancy Video sequences Partitioning algorithms |
| Content Type | Text |
| Resource Type | Article |
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