Depth-Based Texture Coding in AVC-Compatible 3D Video Coding

被引:10
|
作者
Lee, Jin Young [1 ,2 ]
Lin, Jian-Liang [3 ]
Chen, Yi-Wen [3 ]
Chang, Yu-Lin [3 ]
Kovliga, Igor [4 ]
Fartukov, Alexey [4 ]
Mishurovskiy, Mikhail [4 ]
Wey, Ho-Cheon [1 ]
Huang, Yu-Wen [3 ]
Lei, Shaw-Min [3 ]
机构
[1] Samsung Elect, Suwon 442742, South Korea
[2] Korea Adv Inst Sci & Technol, Dept Elect Engn, Taejon 305701, South Korea
[3] MediaTek Inc, Hsinchu 30078, Taiwan
[4] Samsung Res & Dev Inst Russia, Moscow 125047, Russia
关键词
Adaptive luminance compensation (ALC); AVC-compatible 3D video coding (3D-AVC); block-based view synthesis prediction (BVSP); depth-based motion vector prediction (DMVP); VIEW SYNTHESIS PREDICTION;
D O I
10.1109/TCSVT.2014.2380191
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The target of 3D video coding is to compress Multiview Video plus Depth (MVD) format data, which consist of a texture image and its corresponding depth map. In the MVD format, the depth map plays an important role for successful services in 3D video applications, because it enables the user to experience 3D by generating arbitrary intermediate views. The depth map has a strong correlation with its associated texture data, so it can be utilized to improve texture coding efficiency. This paper introduces a novel and efficient depth-based texture coding scheme. It includes depth-based motion vector prediction, block-based view synthesis prediction, and adaptive luminance compensation, which were adopted in an AVC-compatible 3D video coding standard. Simulation results demonstrate that the proposed scheme reduces the total coding bitrates of texture and depth by 19.06% for the coded PSNR and 17.01% for the synthesized PSNR in a P-I-P view prediction structure, respectively.
引用
收藏
页码:1347 / 1361
页数:15
相关论文
共 50 条
  • [41] Interlayer Simplified Depth Coding for Quality Scalability on 3D High Efficiency Video Coding
    Zhang, Mengmeng
    Lu, Hongyun
    Bai, Huihui
    SCIENTIFIC WORLD JOURNAL, 2014,
  • [42] Depth Map Coding Optimization Using Rendered View Distortion for 3D Video Coding
    Kim, Woo-Shik
    Ortega, Antonio
    Lai, Polin
    Tian, Dong
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 24 (11) : 3534 - 3545
  • [43] A Subjective Comparison of Depth Image Based Rendering and Frame Compatible Stereo for Low Bit Rate 3D Video Coding
    Pahalawatta, Peshala
    Stec, Kevin
    2012 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2012,
  • [44] FLEXIBLE MOTION MODEL WITH VARIABLE SIZE BLOCKS FOR DEPTH FRAMES CODING IN COLOUR-DEPTH BASED 3D VIDEO CODING
    Kamolrat, B.
    Fernando, W. A. C.
    Mrak, M.
    Kondoz, A.
    2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4, 2008, : 573 - 576
  • [45] Joint source and channel coding for 3D video with depth image - Based rendering
    Kamolrat, B.
    Fernando, W. A. C.
    Mrak, M.
    Kondoz, A.
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2008, 54 (02) : 887 - 894
  • [46] Fast Mode Decision Algorithm for Depth Coding in 3D Video Systems Using H.264/AVC
    Yoon, Da-Hyun
    Ho, Yo-Sung
    ADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PT II, 2011, 7088 : 25 - 35
  • [47] Depth-Based Image Processing for 3D Video Rendering Applications
    Zarb, Terence
    Debono, Carl James
    21ST INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2014), 2014, : 215 - 218
  • [48] BINARY TREE DECOMPOSITION DEPTH CODING FOR 3D VIDEO APPLICATIONS
    Carmo, Goncalo
    Naccari, Matteo
    Pereira, Fernando
    2011 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2011,
  • [49] LOW COMPLEXITY TRANSFORM CODING FOR DEPTH MAPS IN 3D VIDEO
    Jaeger, Fabian
    Naser, Karam
    2013 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (IEEE VCIP 2013), 2013,
  • [50] Unified depth intra coding for 3D video extension of HEVC
    Song, Yunseok
    Ho, Yo-Sung
    SIGNAL IMAGE AND VIDEO PROCESSING, 2014, 8 (06) : 1031 - 1037