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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jin Wang Yunhui Shi Wenpeng Ding Baocai Yin |
| Copyright Year | 2011 |
| Description | Author affiliation: Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China (Jin Wang; Yunhui Shi; Wenpeng Ding; Baocai Yin) |
| Abstract | Intra prediction plays an important role in reducing the spatial redundancy for intra frame encoding in H.264/AVC. In this paper, we propose a low-rank matrix completion based intra prediction to improve the prediction efficiency. According to the low-rank matrix completion theory, a low-rank matrix can be exactly recovered from quite limited samples with high probability under mild conditions. After moderate rearrangement and organization, image blocks can be represented as low-rank or approximately low-rank matrix. The intra prediction can then be formulated as a matrix completion problem, thus the unknown pixels can be inferred from limited samples with very high accuracy. Specifically, we novelly rearrange the encoded blocks similar to the current block to generate an observation matrix, from which the prediction can be obtained by solving a low-rank minimization problem. Experimental results demonstrate that the proposed scheme can achieve averagely 5.39% bit-rate saving for CIF sequences and 4.21% for QCIF sequences compared with standard H.264/AVC. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 322370 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457714320 |
| e-ISBN | 9781457714344 |
| e-ISBN | 9781457714337 |
| DOI | 10.1109/MMSP.2011.6093848 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Minimization Conferences Prediction algorithms Encoding Approximation methods Correlation Image processing |
| Content Type | Text |
| Resource Type | Article |
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