Object-based error concealment in 3D video

Chien Shiang Hong, Chuen Ching Wang, Shen Chuan Tai, Ya Chiung Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011
Pages5-8
Number of pages4
DOIs
Publication statusPublished - 2011 Nov 9
Event5th International Conference on Genetic and Evolutionary Computing, ICGEC2011 - Xiamen, China
Duration: 2011 Aug 292011 Sep 1

Publication series

NameProceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011

Other

Other5th International Conference on Genetic and Evolutionary Computing, ICGEC2011
CountryChina
CityXiamen
Period11-08-2911-09-01

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications

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