Abstract | ||
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A method for measuring the blocking artifact in video frames is presented, which is capable of detecting this artifact even outside a regular geometric structure, that is, on moving objects in frames encoded with prediction-based techniques. Information-theoretic measures are integrated with models of the human perception, to account for the visibility of the artifact on different image content. A final metric is produced that yields coherent values on variously degraded versions derived from different originals. No information is required on the encoding procedure that originated the artifact; this makes this method suitable to operate on the decoded version of the frames, at the final stage of the video processing chain. Experiments show that the metric has a good correlation with subjective scores and possesses some additional desirable properties. |
Year | DOI | Venue |
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2013 | 10.1007/s11760-013-0448-z | Signal, Image and Video Processing |
Keywords | Field | DocType |
Video quality assessment, No reference measures, Blocking artifact, Motion-compensated frames, H.264 coding | Reference frame,Computer vision,Visibility,Video processing,Pattern recognition,Computer science,Image content,Correlation,Artificial intelligence,Perception,Encoding (memory) | Journal |
Volume | Issue | ISSN |
7 | 3 | 1863-1711 |
Citations | PageRank | References |
2 | 0.36 | 16 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Leonardo Abate | 1 | 6 | 1.48 |
Giovanni Ramponi | 2 | 381 | 51.84 |
Jeroen Stessen | 3 | 2 | 0.70 |