Name
Abstract | ||
|---|---|---|
The H.264 video compression standard supports seven variable block sizes ranging from 4驴脳驴4 to 16驴脳驴16 for one Macro Block (MB) with 16驴脳驴16 size to conduct motion estimation (ME) and compensation. This new feature achieves significant coding gain at the cost of huge computation complexity. Dozens of fast mode decision algorithms with fast block size selection have been proposed to reduce complexity. In this paper, we propose an improved fast block size selection method based on MB movement characteristic. The Motion Vector (MV) and block residual are employed to analyze the movement characteristic of one MB novelly. Then the movement characteristic is used to decide whether and how to merge or split the MB for encoding. Experimental results show that this method speeds up mode decision procedure dramatically with negligible compression performance degradation. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s11042-009-0260-5 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Video encoder,Mode decision,Variable block size selection,MB movement characteristic,Image edge direction | Macroblock,Block size,Coding gain,Pattern recognition,Computer science,Encoder,Artificial intelligence,Motion estimation,Data compression,Encoding (memory),Motion vector | Journal |
Volume | Issue | ISSN |
43 | 2 | 1380-7501 |
Citations | PageRank | References |
4 | 0.53 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangwen Wang | 1 | 72 | 11.90 |
| Jun Sun | 2 | 1060 | 79.09 |
| Rong Xie | 3 | 59 | 34.58 |
| Yu Song | 4 | 356 | 52.74 |
| Wenjun Zhang | 5 | 1789 | 177.28 |