Name
Abstract | ||
|---|---|---|
An adaptive interpolation filtering (AIF) algorithm has been proposed to improve the conventional hybrid video coding scheme recently. Although such an algorithm does improve coding efficiency significantly, its encoding complexity, in terms of computational complexity and memory access, increases dramatically due to its inherent two-pass encoding structure. In this paper, we propose a novel single-pass based algorithm which can reduce the complexity of AIF significantly. In our method, a competitive filter set which includes optimal filters trained from several previous frames and the fixed H.264 filters is considered for the current coding frame. A rate-distortion optimization (RDO) criterion is then used to select the best one at macro-block (MB) level. In order to reduce overhead, a predictive coding method is used to compress the filter type for each MB. Experimental results show that, by using the proposed algorithm, the encoding complexity can be significantly reduced without sacrifice of coding gain. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICIP.2010.5652773 | ICIP |
Keywords | Field | DocType |
h.264/avc,single pass,competitive filter set,single-pass based adaptive interpolation filtering algorithm,adaptive interpolation filter,interpolation,fixed h.264 filters,predictive coding method,rate-distortion optimization criterion,motion compensated prediction,adaptive filters,video coding,encoding complexity,two-pass encoding structure,macro-block level,rate distortion theory,computational complexity,pixel,algorithm design and analysis,encoding,rate distortion optimization,coding gain,wiener filter | Algorithmic efficiency,Coding gain,Algorithm design,Pattern recognition,Coding tree unit,Computer science,Context-adaptive variable-length coding,Algorithm,Artificial intelligence,Adaptive filter,Context-adaptive binary arithmetic coding,Computational complexity theory | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-7993-1 | 978-1-4244-7993-1 | 1 |
PageRank | References | Authors |
0.37 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai Zhang | 1 | 4 | 1.17 |
| Xun Guo | 2 | 44 | 2.22 |
| Yu-Wen Huang | 3 | 1116 | 114.02 |
| Shawmin Lei | 4 | 1034 | 122.70 |
| Wen Gao | 5 | 11374 | 741.77 |