Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/16678
Title: Improved depth maps coding efficiency of 3D videos
Authors: Micallef, Brian W.
Debono, Carl James
Farrugia, Reuben A.
Keywords: Video compression
3-D video (Three-dimensional imaging)
Image reconstruction
Issue Date: 2012
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Micallef, B. W., Debono, C. J., & Farrugia, R. A. (2012). Improved depth maps coding efficiency of 3D videos. 20th European Signal Processing Conference (EUSIPCO), Bucharest. 754-758.
Abstract: Immersive 3D video services demand the transmission of the viewpoints' depth map together with the texture multiview video to allow arbitrary reconstruction of intermediate viewpoints required for free-view navigation and 3D depth perception. The Multi-view Video Coding (MVC) standard is generally used to encode these auxiliary depth maps and since their estimation process is highly computational intensive, the coding time increases. This paper proposes a technique that exploits the multi-view geometry together with the depth map itself to calculate more accurate initial compensation vectors for the Macro-blocks' estimation. Starting from a more accurate position allows for a smaller search area, reducing the computations required during depth map MVC. Furthermore, the SKIP mode is extended to predict also the disparity vectors from the neighborhood encoded vectors, to omit some of them from transmission. Results demonstrate that these modifications provide an average computational reduction of up-to 87% with a bitrate saving of about 8.3% while encoding an inter-view predicted viewpoint from a depth map multi-view video.
Description: The research work disclosed in this publication is partially funded by the Strategic Educational Pathways Scholarship Scheme (Malta). The scholarship is part-financed by the European Union – European Social Fund.
URI: https://www.um.edu.mt/library/oar//handle/123456789/16678
ISSN: 22195491
Appears in Collections:Scholarly Works - FacICTCCE

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