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Multi-View Video Plus Depth with Saliency Map Protection

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Saliency is the term used to represent regions that are of high interest according to the human visual system (HVS). There are many saliency models available, however very few focuses on the information of saliency based on depth video sequences. This paper proposed the usage of the saliency depth based video (SDV) in erroneous multi-view video transmission to observe the quality of salient regions by combining selected saliency maps and adding the selected saliency maps with depth video sequences. The previously proposed SDV is used with multi-view video plus depth (MVD) and compressed using High Efficiency Video Coding (HEVC) compression method. The SDV is then tested in erroneous environment to observe the quality of salient regions. Based on the outcomes observed in the objective and subjective evaluations, the proposed SDV showed an average of 7% to 15% of incremental in terms of video quality rendered from virtual videos compared to virtual videos without the aid of the proposed SDV.
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Keywords: Erroneous Video Transmission; High Efficiency Video Coding; Multi-View Video Plus Depth; Saliency

Document Type: Research Article

Affiliations: 1: Faculty of Engineering, Multimedia University, 63000 Cyberjaya, Selangor, Malaysia 2: Department of Computer and Communication Systems, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia

Publication date: November 1, 2017

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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