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Multi-view video has attracted considerable interest due to its wide use in a growing market including 3D television, free viewpoint video and intelligent surveillance. Besides the efficiency of compression methods, a vital requirement for multi-view video coding procedures is the view random access which is described as the capability to navigate quickly to any arbitrary view at any given time. In this paper, a new prediction structure based on the increase of the hierarchical level of B-views is proposed. This approach involves reducing the number of images needed for the prediction of B pictures for specific B-views. To show the effectiveness of the proposed prediction structure, a new metric for evaluating the view random access is described. In contrast to the metric proposed by the JVT group which is limited to consider only the image having the maximum number of frames needed for decoding, the key basis of the proposed metric is to consider evaluating all the images contained within a Group of Group Of Pictures. Experimental results have shown that compared with the IBP prediction structure of the reference model JMVM, the proposed algorithm improves the view random access by up to 33.5% with significant improvement in terms of bit rate.

Item Type	Journal
Divisions	» Laboratory of Computer Science and Mathematics » Faculty of Science and Technology
ePrint ID	1743
Date Deposited	2019-05-26
Further Information	Google Scholar
URI	https://univ-soukahras.dz/en/publication/article/1743

@article{uniusa1743,
    title={Improving view random access via increasing hierarchical levels for multi-view video coding},
    author={Amara BEKHOUCH, Imed BOUCHRIKA and N Doghmane},
    journal={IEEE Transactions on Consumer Electronics}
    year={2016},
    volume={62},
    number={4},
    pages={},
    publisher={IEEE}
}