Fast 3D-HEVC PU size decision algorithm for depth map intra-video coding
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ORIGINAL RESEARCH PAPER
Fast 3D‑HEVC PU size decision algorithm for depth map intra‑video coding Hamza Hamout1 · Abderrahmane Elyousfi2 Received: 6 February 2019 / Accepted: 5 June 2019 © Springer-Verlag GmbH Germany, part of Springer Nature 2019
Abstract High-Efficiency Video Coding (HEVC)-based 3D video coding (3D-HEVC) is the most recent standard and last exertion of ISO/IEC MPEG and ITU-T Video Coding Experts Group (VCEG) for 3D video coding using a new data video format called Multi-View Video plus Depth map (MVD). This new standard achieves a high coding improvement. In any case, one of the most critical difficulties in 3D-HEVC is time computational complexity. The depth map intra-prediction is a critical factor in 3D-HEVC intra-coding, in which, the 3D-HEVC uses a highly adaptable Coding Unit (CU) structure with a specific end goal to expand the coding efficiency of all depth map characteristics. However, it results in an enormous Rate Distortion Optimization Cost (RDO-Cost) because of the broad recursive search for the best CU size from 64 × 64 down to 4 × 4 . This computational complexity excludes the 3D-HEVC from true and real-time application. Hence, it is imperative to build up an algorithm to diminish the complexity of the size decision in depth map intra-coding. To determine the previously mentioned issue, this paper proposes an effective 3D-HEVC PU size decision algorithm for depth map intra-video coding based on tensor features and statistical data analyses. The experimental results demonstrate that the proposed model diminishes the complexity of depth map size decision significantly with low rate distortion increase. Keywords 3D-HEVC · JCT-3V · Statistical data · Depth map intra-coding · Intra-CU coding
1 Introduction Recently, the explosive increasing of 3D video applications and the rapid development of three-dimensional video techniques in computer vision, graphics and 3D image processing [1] get an extreme attention from 3D-services, industry and academia research and it has considerably grown leading to a number of challenges by performing the realtime 3D video acquisition, representation, transmission and compression [1]. As an outcome, the Joint Collaborative Team on 3D Video Coding (JCT-3V) made by the ISO/IEC MPEG and ITU-T Video Coding Experts Group (VCEG) [2] * Hamza Hamout [email protected] Abderrahmane Elyousfi [email protected] 1
Computer Systems and Vision Laboratory, Faculty of Sciences, Ibn-Zohr University, BP 8106, Agadir, Morocco
Department of Computer Science, National Engineering School of Applied Sciences (ENSA), Ibn-Zohr University, BP 1136, Agadir, Morocco
2
creates as the last effort the new worldwide standard for 3D video coding, called the 3D extension of High-Efficiency Video Coding (3D-HEVC) [3–5]. To support the increasing demands for storage, transmission for great 3D video quality and show more productivity of the auto-stereoscopic multiview. MPEG presents the Multi-view Video plus Depth (MVD) format as the best new 3D design for 3D video repres
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