Compression of 2-D wide multi-view video sequences using view interpolation

Taeyoung Chung, Kwanwoong Song, Chang-Su Kim

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

7 Citations (Scopus)

Abstract

In this work, we propose an efficient coding algorithm for multi-view video sequences, captured with a 2-D camera array. We develop an efficient prediction structure, which can exploit inter-view redundancies as well as temporal redundancies in 2-D multi-view video sequences. Moreover, we propose a view interpolation technique based on the bilateral criterion and the skip mode to improve the coding performance. Simulation results show that the proposed algorithm provides better PSNR performance than the conventional multi-view video coding algorithm.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Pages2440-2443
Number of pages4
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: 2008 Oct 122008 Oct 15

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period08/10/1208/10/15

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Keywords

  • And disparity estimation
  • Hierarchical B prediction
  • Multi-view video coding
  • View interpolation

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Chung, T., Song, K., & Kim, C-S. (2008). Compression of 2-D wide multi-view video sequences using view interpolation. In Proceedings - International Conference on Image Processing, ICIP (pp. 2440-2443). [4712286] https://doi.org/10.1109/ICIP.2008.4712286