DocumentCode
1699417
Title
Object-Based Error Concealment in 3D Video
Author
Hong, Chien-Shiang ; Wang, Chuen-Ching ; Tai, Shen-Chuan ; Luo, Ya-Chiung
Author_Institution
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear
2011
Firstpage
5
Lastpage
8
Abstract
In real-time video transmission, the loss of packet results in visual quality degraded for the succeeding frames. This paper proposes an efficient full frame algorithm for depth-based 3-D videos. Each frame can be regarded as combination of objects. True motion estimation (TME) and depth map are exploited to calculate the motion vector (MV) for each object. In this paper, the object is defined as the pixels with the same MV and similar depth value. Each object in reference frame can be extrapolated to reconstruct the damage frame by the object-based MV. In the consideration of computational complexity, in this method, only the high frequency regions need to execute TME. From the simulation results, our algorithm gives better visual quality and PSNR in most case.
Keywords
computational complexity; extrapolation; image reconstruction; motion estimation; video signal processing; computational complexity; damage frame reconstruction; depth map; depth value; depth-based 3D videos; extrapolation; full frame algorithm; object-based error concealment; object-based motion vector; real-time video transmission; reference frame; true motion estimation; visual quality; Algorithm design and analysis; Correlation; Humans; Image reconstruction; Motion estimation; Streaming media; Visualization; H.264/AVC; depth map; error concealment;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4577-0817-6
Electronic_ISBN
978-0-7695-4449-6
Type
conf
DOI
10.1109/ICGEC.2011.9
Filename
6042704
Link To Document