Correlation model selection for interactive video communication

Navid Mahmoudian Bidgoli 1 Thomas Maugey 1 Aline Roumy 1
1 Sirocco - Analysis representation, compression and communication of visual data
Inria Rennes – Bretagne Atlantique , IRISA_D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : Interactive video communication has been recently proposed for multi-view videos. In this scheme, the server has to store the views as compact as possible, while being able to transmit them independently to the users, who are allowed to navigate interactively among the views, hence requesting a subset of them. To achieve this goal, the compression must be done using a model-based coding in which the correlation between the predicted view generated on the user side and the original view has to be modeled by a statistical distribution. In this paper we propose a framework for lossless fixed-length source coding to select a model among a candidate set of models that incurs the lowest extra rate cost to the system. Moreover, in cases where the depth image is available, we provide a method to estimate the correlation model.
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Communication dans un congrès
ICIP 2017 - IEEE International Conference on Image Processing , Sep 2017, Beijing, China
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Soumis le : mardi 19 septembre 2017 - 18:24:23
Dernière modification le : jeudi 11 janvier 2018 - 06:28:15

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  • HAL Id : hal-01590627, version 1

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Navid Mahmoudian Bidgoli, Thomas Maugey, Aline Roumy. Correlation model selection for interactive video communication. ICIP 2017 - IEEE International Conference on Image Processing , Sep 2017, Beijing, China. 〈hal-01590627〉

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