Abstract | ||
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Among the orthogonal transforms used in video and image compression, the Discrete-Cosine-Transform (DCT) is the most commonly used one. In the existing video codecs, the motion-compensation residual (MC-residual) is transformed with the DCT. In this paper, we propose an adaptive orthogonal transform that performs better on the MC-residual than the DCT. We formulate the proposed new transform based on L1-Norm minimization with orthogonal constraints. With the DCT matrix as the starting point, it is guaranteed to derive a better orthogonal transform matrix in terms of L1-Norm minimization. The experimental results confirm that, with little side information, our method leads to higher compression efficiency for the MC-residual. Remarkably, the proposed transform performs better in the high/ complex motion situation. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-17832-0_5 | MMM |
Keywords | Field | DocType |
video compression,existing video codecs,l1-norm minimization,complex motion situation,orthogonal constraint,dct matrix,image compression,motion compensation,higher compression efficiency,side information,orthogonal transformation,transform coding,discrete cosine transform | Computer vision,Block-matching algorithm,Quarter-pixel motion,Computer science,Discrete cosine transform,Motion compensation,Transform coding,Artificial intelligence,Sum of absolute transformed differences,Data compression,Image compression | Conference |
Volume | ISSN | ISBN |
6523 | 0302-9743 | 3-642-17831-6 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhouye Gu | 1 | 70 | 7.62 |
Weisi Lin | 2 | 5366 | 280.14 |
Bu-Sung Lee | 3 | 2119 | 140.18 |
Chiew Tong Lau | 4 | 406 | 35.82 |