Name
Abstract | ||
|---|---|---|
Bit allocation is a key issue in image/video coding. An optimal bit allocation can improve the encoding performance, which means to maximize the image/video quality in the constraint of bit rate, or vice versa, to minimize the bit rate with a restrictive quality. We suggest that the bit allocation for macro blocks (MBs) can be optimized by aiming at the constant perceptual quality (CPQ) inside an image/a frame. Based on the MINMAX criterion, we proposed a multi-pass block-layer bit allocation scheme for intra frame encoding, in which all the local areas in a frame get approximately the same perceptual quality by choosing the quantization parameter (QP) for each MB. The experimental results show that the proposed method can improve the encoding performance obviously. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1117/12.908109 | VISUAL INFORMATION PROCESSING AND COMMUNICATION III |
Keywords | Field | DocType |
Optimal bit allocation, block-layer bit allocation, MINMAX, constant quality, perceptual quality | Computer science,Bit field,Coding (social sciences),Artificial intelligence,Video quality,Computer vision,Mathematical optimization,Algorithm,Intra-frame,Harmonic Vector Excitation Coding,Quantization (signal processing),Macro,Encoding (memory) | Conference |
Volume | Issue | ISSN |
8305 | null | 0277-786X |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao Wang | 1 | 156 | 7.13 |
| Xuanqin Mou | 2 | 1552 | 72.38 |
| Lei Zhang | 3 | 16326 | 543.99 |