On the Side-Information Dependency of the Temporal Correlation in Wyner-Ziv Video Coding
| Autor: | Adrian Munteanu, Peter Schelkens, Jan Cornelis, Tom Clerckx, Nikos Deligiannis |
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| Přispěvatelé: | Electronics and Informatics, Multidimensional signal processing and communication |
| Předmět: |
Pixel
statistical modeling Computer science temporal correlation Speech recognition Quantization (signal processing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Data_CODINGANDINFORMATIONTHEORY video coding Codec quantization Wyner-Ziv coding Algorithm Decoding methods Coding (social sciences) |
| Zdroj: | Vrije Universiteit Brussel Scopus-Elsevier ICASSP |
| Popis: | Current models in Wyner-Ziv video coding consider the temporal correlation noise to be side-information independent (SII). This paper goes beyond this assumption and proposes a novel model, of which the parameters are side-information dependent (SID). The proposed model is experimentally validated showing remarkable accuracy improvement over the conventional SII model. Moreover, a novel SID technique for the accurate estimation of the temporal correlation in video is introduced. The proposed technique enables the design of a novel pixel-domain Wyner-Ziv video coding system operating without a feedback channel. Preliminary experimental results show that the proposed codec achieves superior performance compared to the state-of-the-art in pixel-domain Wyner-Ziv coding. |
| Databáze: | OpenAIRE |
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