A foveated short term distortion model for perceptually optimized dynamic textures compression in HEVC

Due to their rapid change over time, dynamic textures represent challenging contents for the video compression standards. While several studies proposed different coding techniques, such as synthesis based coding, they mostly lack the perceptual studies on the perceived distortions. In this paper, a...

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Bibliographic Details
Main Authors: Naser, Karam, Ricordel, Vincent, Le Callet, Patrick
Format: Conference Proceeding
Language:English
Subjects:
Bit rate
Distortion
Distortion measurement
Encoding
Observers
Predictive models
Online Access:Request full text
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Summary:Due to their rapid change over time, dynamic textures represent challenging contents for the video compression standards. While several studies proposed different coding techniques, such as synthesis based coding, they mostly lack the perceptual studies on the perceived distortions. In this paper, a framework of perceptually optimized dynamic texture compression is presented. It is based on a psychophysically driven distortion model, which is utilized inside the rate distortion loop of HEVC. The model is tested for three compression levels, and showed a significant rate saving for both training and validation sequences set.
ISSN:2472-7822
DOI:10.1109/PCS.2016.7906311