Depth map coding by modeling the locality and local correlation of view synthesis distortion in 3-D video

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Abstract

We propose depth map coding method by modeling the locality and local correlation of view synthesis distortion (VSD) in three dimensional (3D) video. Taking into account local characteristics of both depth map quantization error and color video, we start by dividing depth map into two kinds of regions: error sensitive area (ESA), where depth map quality is sensitive to quantization and the synthesized view quality is sensitive to depth map distortion, and error resilient area (ERA) otherwise. The locality of VSD is established by modeling the relationship between synthesized view distortion and depth map distortion for different regions separately. Then the local correlation of VSD is exploited in terms of synthesized view distortion propagated from other non-corresponding regions of depth map due to correlation of regions during temporal/spatial prediction in depth map coding. The final VSD model is obtained by considering both the locality and local correlation and implemented in the rate-distortion (RD) optimized mode selection for depth map coding. Experimental results show that our solution can achieve 12.67% and 11.22% bit rate saving as well as 1.07 dB and 1.94 dB improvement of synthesized view quality on average at high and low bit rate, respectively, compared with H.264/AVC.

Original languageEnglish
Title of host publicationMultiMedia Modeling - 22nd International Conference, MMM 2016, Proceedings
EditorsQi Tian, Richang Hong, Xueliang Liu, Nicu Sebe, Benoit Huet, Guo-Jun Qi
PublisherSpringer Verlag
Pages662-674
Number of pages13
ISBN (Print)9783319276700
DOIs
StatePublished - 2016
Event22nd International Conference on MultiMedia Modeling, MMM 2016 - Miami, United States
Duration: 4 Jan 20166 Jan 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9516
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on MultiMedia Modeling, MMM 2016
Country/TerritoryUnited States
CityMiami
Period4/01/166/01/16

Keywords

  • Depth map coding
  • H.264/AVC
  • Rate-distortion optimization
  • View synthesis

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