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Fast and quality-efficient scheme for asymmetric multi-view video plus depth coding under the bitrate constraint.pdf

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Fast and quality-efficient scheme for asymmetric multi-view video plus depth coding under the bitrate constraint.pdf

J. Vis. Commun. Image R. 30 (2015) 350–362 Contents lists available at ScienceDirect J. Vis. Commun. Image R. journal homepage: /locate/jvci Fast and quality-ef?cient scheme for asymmetric multi-view video plus depth coding under the bitrate constraint q Chien-Hsiung Lin a, Kuo-Liang Chung a,?, Jiann-Jone Chen b, Yung-Hsiang Chiu a, Yan-Nan Chen a a Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, No. 43, Section 4, Keelung Road, Taipei 10672, Taiwan, ROC b Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Section 4, Keelung Road, Taipei, 10672, Taiwan, ROC article info Article history: Received 18 November 2014 Accepted 30 April 2015 Available online 27 May 2015 Keywords: 3D video 3D multi-view video plus depth coding Adaptive weighted mode in-loop ?lter Asymmetric video coding Bitrate-constrained video coding Depth image-based rendering JMVM Texture image-assisted inter prediction abstract Recently, multi-view video plus depth based 3D video (3D-MVD) coding has been studied extensively. This paper presents a fast and ef?cient asymmetric 3D-MVD coding scheme under speci?ed bitrate constraints. To ef?ciently encode depth images, a texture image-assisted inter prediction strategy is proposed to determine whether to use a direct copy of the co-located block as the inter prediction so as to skip the normal encoding process. In addition, an adaptive weighted mode in-loop ?lter strategy is proposed to re?ne the reconstructed depth image quality. Both strategies help to signi?cantly reduce the encoding time and improve the reconstructed depth image quality under the bitrate constraint. Experiment results showed that the proposed asymmetric 3D-MVD coding scheme does achieve better quality of the reconstructed depth videos and the rendered virtual views at a less encoding-time requirement when compared with the state-of-the-art scheme by Shao et al. and the tra