Joint disparity and motion estimation using optical flow for multiview Distributed Video Coding

Matteo Salmistraro, Lars Lau Raket, Catarina Brites, Joao Ascenso, Søren Forchhammer

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Distributed Video Coding (DVC) is a video coding paradigm where the source statistics are exploited at the decoder based on the availability of Side Information (SI). In a monoview video codec, the SI is generated by exploiting the temporal redundancy of the video, through motion estimation and compensation techniques. In a multiview scenario, the correlation between views can also be exploited to further enhance the overall Rate-Distortion (RD) performance. Thus, to generate SI in a multiview distributed coding scenario, a joint disparity and motion estimation technique is proposed, based on optical flow. The proposed SI generation algorithm allows for RD improvements up to 10% (Bjøntegaard) in bit-rate savings, when compared with block-based SI generation algorithms leveraging temporal and inter-view redundancies.
Original languageEnglish
Title of host publicationProceedings of the European Signal Processing Conference (EUSIPCO 2014)
PublisherIEEE
Publication date2014
Pages286-290
ISBN (Print)9780992862619
Publication statusPublished - 2014
Event22nd European Signal Processing Conference (EUSIPCO) - Lisbon Congress Center, Lisbon, Portugal
Duration: 1 Sep 20145 Sep 2014
Conference number: 22

Conference

Conference22nd European Signal Processing Conference (EUSIPCO)
Number22
LocationLisbon Congress Center
Country/TerritoryPortugal
CityLisbon
Period01/09/201405/09/2014
SeriesProceedings of the European Signal Processing Conference
ISSN2076-1465

Keywords

  • Signal Processing and Analysis
  • Decoding
  • Disparity Estimation
  • Distributed Video Coding
  • Estimation
  • Image motion analysis
  • Interpolation
  • Joints
  • Motion Estimation
  • Multiview Video
  • Optical Flow
  • Silicon
  • Video coding

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