Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow

Matteo Salmistraro, Marco Zamarin, Lars Lau Rakêt, Søren Forchhammer

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

Abstract

Distributed Video Coding (DVC) is a video coding paradigm allowing a shift of complexity from the encoder to the decoder. Depth maps are images enabling the calculation of the distance of an object from the camera, which can be used in multiview coding in order to generate virtual views, but also in single view coding for motion detection or image segmentation. In this work, we address the problem of depth map video DVC encoding in a single-view scenario. We exploit the motion of the corresponding texture video which is highly correlated with the depth maps. In order to extract the motion information, a block-based and an optical flow-based methods are employed. Finally we fuse the proposed Side Informations using a multi-hypothesis DVC decoder, which allows us to exploit the strengths of all the proposed methods at the same time.
Original languageEnglish
Title of host publication2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE
Publication date2013
Pages1685-1689
ISBN (Print)978-1-4799-0356-6
DOIs
Publication statusPublished - 2013
EventIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) - Vancouver, Canada
Duration: 26 May 201331 May 2013
http://www.icassp2013.com/

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)
CountryCanada
CityVancouver
Period26/05/201331/05/2013
Internet address
SeriesI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN1520-6149

Keywords

  • Distributed Source Coding
  • Depth Map Coding
  • Wyner-Ziv Coding
  • Optical Flow
  • Distributed Video Coding

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