Title | ||
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Decoder side just noticeable distortion model estimation for efficient H.264/AVC based perceptual video coding |
Abstract | ||
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This paper proposes a decoder side estimation for a just noticeable distortion perceptual model integrated in the H.264/AVC codec to improve its RD performance. The proposed estimation avoids having to send the perceptual weights used during the quantization of each frequency coefficient. Experiments with high definition videos show that the novel perceptual video codec is able to reduce the bitrate up to about 34% at the cost of, at most, 1.2% objective multi scale structural similarity quality loss. Moreover, the RD performance with the estimation is comparable to the performance achieved if the original perceptual model is used at the decoder without considering the associated rate. |
Year | DOI | Venue |
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2010 | 10.1109/ICIP.2010.5652601 | Image Processing |
Keywords | Field | DocType |
decoding,video codecs,video coding,H.264/AVC codec,decoder side estimation,distortion perceptual model estimation,perceptual video codec,perceptual video coding,quantization,structural similarity quality loss,JND estimation,JND model,perceptual video coding,quality control | Just noticeable distortion,Computer vision,Automatic voltage control,High definition,Computer science,Speech recognition,Coding (social sciences),Artificial intelligence,Decoding methods,Quantization (signal processing),Perception,Codec | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-7993-1 | 978-1-4244-7993-1 | 4 |
PageRank | References | Authors |
0.46 | 7 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Matteo Naccari | 1 | 254 | 20.39 |
Fernando Pereira | 2 | 17717 | 2124.79 |