scholarly journals Disparity Vector Derivation Method for Texture-Video-First-Coding Modes of 3D Video Coding Standards

Author(s):  
Je-Won Kang
Author(s):  
Cheon Lee ◽  
Yo-Sung Ho

Three-dimensional video (3DV) is expected to be the next multimedia technology that provides depth impression of observed scenery with multi-view videos. In fact, studies on 3D video have a long history, heading back two hundred years; but recently, it has risen as the hottest issue due to rapid progresses of IT technologies. Particularly, 3D video systems are the most promising technology in multimedia area. An extension of typical stereoscopic imaging, realistic and natural 3D video technologies are currently under development. In this chapter, the authors describe overall technologies of 3D video systems from capturing to display, including coding standards. Mainly, the chapter focuses on the recent standardization activities by MPEG (moving picture experts group) associated with 3D video coding.


2017 ◽  
Vol 14 (3) ◽  
pp. 1-23
Author(s):  
Maryam Homayouni ◽  
Payman Aflaki ◽  
Miska M. Hannuksela ◽  
Moncef Gabbouj

Author(s):  
Olgierd Stankiewicz ◽  
Krzysztof Wegner ◽  
Marek Domanski

2014 ◽  
Vol 25 (4) ◽  
pp. 679-688 ◽  
Author(s):  
Ying Chen ◽  
Miska M. Hannuksela ◽  
Teruhiko Suzuki ◽  
Shinobu Hattori

Author(s):  
Vladimir Afonso ◽  
Mario Saldanha ◽  
Ruhan Conceicao ◽  
Murilo Perleberg ◽  
Marcelo Porto ◽  
...  

2017 ◽  
Vol 52 ◽  
pp. 1-5 ◽  
Author(s):  
Chao Yang ◽  
Ping An ◽  
Deyang Liu ◽  
Liquan Shen ◽  
Kai Li

Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 430 ◽  
Author(s):  
Jin Young Lee

Multiview video plus depth (MVD), which consists of a texture image and its associated depth map, has been introduced as a 3D video format, and 3D video coding, such as 3D-HEVC, was developed to efficiently compress this MVD data. However, this requires high encoding complexity because of the additional depth coding. In particular, intra coding using various prediction modes is very complicated. To reduce the complexity, we propose a fast depth intra mode decision method based on mode analysis. The proposed method adaptively reduces the number of original candidate modes in a mode decision process. Experimental results show that the proposed method achieves high performance in terms of the complexity reduction.


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