Efficient multiview image compression using quadtree disparity estimation

DR Clewer, L Luo, CN Canagarajah, DR Bull, MH Barton

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

11 Citations (Scopus)
247 Downloads (Pure)

Abstract

Viewpoint adaptation, or “look-around” capability, is likely to be vital to the success of future immersive multimedia services such as 3D video-conferencing, virtual reality and 3DTV. This paper proposes a low complexity and efficient compression system for multiview images using quadtree disparity estimation and multiview synthesis. Previous approaches to the problem have generally involved the transmission of a coded stereo image pair, usually using fixed block size disparity compensation, along with a pair of dense disparity maps used for intermediate view synthesis. In this work, the quadtree disparity map coded implicitly in the stereo compression process is re-used in the multiview synthesis process. The other map is also efficiently represented using a quadtree structure at low resolution. Improved multiview compression results are presented, along with intermediate views synthesised at the decoder.
Translated title of the contributionEfficient multiview image compression using quadtree disparity estimation
Original languageEnglish
Title of host publicationIEEE International Symposium on Circuits and Systems (ISCAS 2001) Sydney, NSW, Australia
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages295 - 298
Number of pages4
Volume5
ISBN (Print)0780366859
DOIs
Publication statusPublished - May 2001
EventIEEE International Symposium on Circuits and Systems, 2001 - Sydney, Australia
Duration: 1 May 2001 → …

Conference

ConferenceIEEE International Symposium on Circuits and Systems, 2001
Abbreviated titleISCAS '01
CountryAustralia
CitySydney
Period1/05/01 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: This work was supported by the Virtual Centre of Excellence in Digital Broadcasting & Multimedia Technology Ltd. The images used were supplied by CCETT, France.

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