Virtual view interpolation and prediction structure for full parallax multi-view video

Tae Young Chung, Il Lyong Jung, Kwanwoong Song, Chang-Su Kim

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

4 Citations (Scopus)

Abstract

In this work, we propose virtual view interpolation algorithm and prediction structure for full parallax multi-view video coding. The proposed virtual view interpolation algorithm estimates the disparity information by bilateral criterion and disparity smoothness. The interpolated view is used as additional reference frame, and novel direct mode is applied to it. Simulation results demonstrate that our proposed virtual view interpolation algorithm shows the better quality than the conventional interpolation algorithm. Moreover, the proposed prediction structure, which uses the interpolated view as an additional reference with novel direct mode, shows the significant coding gain.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2009 - 10th Pacific Rim Conference on Multimedia, Proceedings
Pages543-550
Number of pages8
DOIs
Publication statusPublished - 2009 Dec 1
Event10th Pacific Rim Conference on Multimedia, PCM 2009 - Bangkok, Thailand
Duration: 2009 Dec 152009 Dec 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5879 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th Pacific Rim Conference on Multimedia, PCM 2009
CountryThailand
CityBangkok
Period09/12/1509/12/18

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Keywords

  • Bilateral criterion
  • Multi-view video coding
  • View interpolation prediction

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Chung, T. Y., Jung, I. L., Song, K., & Kim, C-S. (2009). Virtual view interpolation and prediction structure for full parallax multi-view video. In Advances in Multimedia Information Processing - PCM 2009 - 10th Pacific Rim Conference on Multimedia, Proceedings (pp. 543-550). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5879 LNCS). https://doi.org/10.1007/978-3-642-10467-1_48