Name
Abstract | ||
|---|---|---|
Both perceptually and statistically, compressed video with large or disordered motion is sensitive to errors. In this paper, we propose a novel fast error-resilient video coding scheme, which is based on significant macroblock (MB) determination and protection. The scheme takes three impact factors (inter-block mode, motion vector difference and SAD value) to build a statistical model. The model takes error concealment (EC) into consideration in advance and generates several parameters for further significant degree (SD) evaluation for MBs. During encoding, we build an SD table for each frame based on the parameters and pick up those MBs with the largest SD values as significant MBs (SMBs). Few additional computations are induced into SMB determination, thus make our scheme practical in real time video coding scenarios. Simulations show that the scheme has an acceptable SMB determination accuracy and the corresponding protection method can prevent errors effectively |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/MMSP.2006.285308 | 2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006 |
Keywords | Field | DocType |
significant macroblock protection,h.264 standard,significant degree evaluation,video compression,data compression,encoding,fast error-resilient video coding scheme,smb determination,video coding,error concealment,code standards,error statistics,statistical model,real time | Error concealment,Macroblock,Computer vision,Computer science,Coding (social sciences),Artificial intelligence,Statistical model,Data compression,Motion vector,Encoding (memory),Computation | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
0-7803-9752-5 | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiajun Bu | 1 | 4106 | 211.52 |
| Linjian Mo | 2 | 7 | 3.33 |
| Genfu Shao | 3 | 0 | 0.34 |
| Zhi Yang | 4 | 22 | 5.56 |
| Chun Chen | 5 | 4727 | 246.28 |