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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jamil-Ur-Rehman Zhang Ye Kumarayapa, A. |
| Copyright Year | 2007 |
| Description | Author affiliation: Harbin Inst. of Technol., Harbin (Jamil-Ur-Rehman; Zhang Ye; Kumarayapa, A.) |
| Abstract | Enhanced Intra and Inter prediction techniques are the key factors to the success of H.264. There are a total of nine optional prediction modes for each 4 x 4 luma block. H.264 adapts Rate Distortion Optimization (RDO) technique to get high coding rate and visual quality. Because RDO is too much exhaustive, several attempts have been made to explore fast algorithms. The choice of intra prediction mode for each 4 x 4 block must be signaled to the decoder and this could potentially require a large number of bits. However, intra modes for neighbouring 4 x 4 blocks are often correlated. To take advantage of this correlation, predictive coding is used to signal 4 x 4 intra modes. But still large number of bits is required to signal nine intra prediction modes. We adaptively selected only five modes; selection of modes depends on the position of 4 x 4 block in the slice or frame. After experimental results we have come to know that the increase in the number of bits for encoding residual coefficients is approximately same as decrease in the number of bits required to signal intra prediction modes, providing same PSNR (peak signal to noise ratio). By using proposed technique, computational speed increased by ap45% without significant performance degradation. |
| Starting Page | 2385 |
| Ending Page | 2389 |
| File Size | 556757 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424409723 |
| DOI | 10.1109/ICMLC.2007.4370544 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Encoding PSNR Decoding Predictive coding Degradation Bit rate Machine learning Cybernetics Electronic mail Rate-distortion Signaling mode numbers H.264 Intra prediction Mode decision |
| Content Type | Text |
| Resource Type | Article |
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