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Content Provider | IEEE Xplore Digital Library |
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Author | DongSan Jeon HyunWook Park |
Copyright Year | 2009 |
Description | Author affiliation: Dept. of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea (DongSan Jeon; HyunWook Park) |
Abstract | The H.264/AVC achieves higher coding efficiency than the previous video coding standards such as MPEG-4 and H.263. H.264 adopted the multiple reference-frame motion estimation (MRF-ME). Although this new technique significantly improves the prediction accuracy, it requires very heavy encoding complexity in proportion to the number of reference frames. In this paper, we propose an adaptive reference-frame selection (ARFS) method using neighboring reference-frame information and Bayes theory. We show that the proposed algorithm effectively reduces the encoding complexity of MRF-ME and achieves similar coding gain, compared to the previous methods. |
Starting Page | 629 |
Ending Page | 632 |
File Size | 191948 |
Page Count | 4 |
File Format | |
ISBN | 9781424456536 |
ISSN | 15224880 |
e-ISBN | 9781424456543 |
e-ISBN | 9781424456550 |
DOI | 10.1109/ICIP.2009.5413845 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-11-07 |
Publisher Place | Egypt |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Motion estimation Automatic voltage control Encoding Video coding Quadratic programming MPEG 4 Standard Accuracy Termination of employment Discrete cosine transforms Filters motion vector refinement Early termination H.264 motion estimation multiple reference frames |
Content Type | Text |
Resource Type | Article |
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