Modeling the correlation noise in spatial domain distributed video coding
| Autor: | Adrian Munteanu, Tom Clerckx, Peter Schelkens, Nikos Deligiannis, Jan Cornelis |
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| Přispěvatelé: | Storer, J., Marcellin, M., Electronics and Informatics, Multidimensional signal processing and communication |
| Předmět: |
Context model
statistical modeling Computer science business.industry Group method of data handling Correlation channel Distributed Video Coding Standard deviation Motion estimation Codec Computer vision Artificial intelligence business Algorithm Decoding methods Data compression Coding (social sciences) |
| Zdroj: | Vrije Universiteit Brussel DCC Scopus-Elsevier |
| Popis: | Conventional models in distributed video coding (DVC) consider the correlation noise to be distributed independently from the realization of the side-information. This paper introduces a novel model, of which the standard deviation depends spatially on the realization of the side-information. The performance penalty in video coding caused by side-information-independency assumptions is theoretical quantified and experimentally confirmed. Furthermore, inspired by the spatial side-information-dependency of the proposed model, a novel approach for estimating the correlation channel from the partial knowledge of it is introduced. The proposed technique is incorporated into a spatial-domain unidirectional DVC system, providing state-of-the-art performance. |
| Databáze: | OpenAIRE |
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