Abstract | ||
---|---|---|
An objective quality assessment method for H.264 high definition (HD) video streams in the compressed domain is presented in this paper. Based on the H.264 open-source codec project JM12.4, we design an efficient system to extract two video features as the input vectors without fully decoding the videos. These features are analyzed by Least Squares method. Fourteen HD sequences coded at four kinds of bit-rates are tested in our experiment. The experimental results show that this system obtains an accurate quality evaluation. In addition, our methods can be applied to real time monitoring, since the model does not require the source pictures, or a complete decoding process, and can get a good corresponding with the subjective assessments results. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/CMC.2011.52 | CMC |
Keywords | Field | DocType |
objective quality assessment method,h.264 high definition,video feature,fourteen hd,complete decoding process,efficient system,compressed domain,video stream,hdtv video quality objective,accurate quality evaluation,squares method,h.264 open-source codec project,feature extraction,image quality,least square method,video compression,least squares method,quantization,video quality,measurement | Least squares,High-definition video,Computer vision,High-definition television,Computer science,Image quality,Feature extraction,Artificial intelligence,Decoding methods,Video quality,Codec | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yuqing Cheng | 1 | 0 | 0.68 |
Xiuhua Jiang | 2 | 5 | 1.14 |
Caihong Wang | 3 | 4 | 1.09 |