Adaptive competition for motion vector prediction in multi-view video coding

Seungchul Ryu, Jungdong Seo, Hyun Kim Dong Hyun Kim, Jin Young Lee, Hochen Wey, Kwanghoon Sohn

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

5 Citations (Scopus)

Abstract

An adaptive competition method is proposed in order to increase the accuracy of a motion vector (MV) prediction in multi-view video coding (MVC). Motion vector predictors for INTER mode and SKIP (DIRECT) mode is optimally selected from a given adaptive set of predictors by a slightly modified rate-distortion criterion. The adaptive set of the predictor candidates is determined, based on the analysis of the predictors according to their prediction structures. The analyzed predictors include spatial, temporal, and inter-view predictors. The proposed scheme leads to the accurate and efficient MV prediction compared to the MVC reference software, JMVC 6.0. As a result, bit-rates are decreased by nearly 5% in average, up to 7.6%, in terms of the Bjontegaard Metric.

Original languageEnglish
Title of host publication3DTV Conference
Subtitle of host publicationThe True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2011 - Proceedings
DOIs
Publication statusPublished - 2011
Event5th 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2011 - Antalya, Turkey
Duration: 2011 May 162011 May 18

Publication series

Name3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2011 - Proceedings

Other

Other5th 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2011
Country/TerritoryTurkey
CityAntalya
Period11/5/1611/5/18

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Human-Computer Interaction

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