Incorporating Depth-Image Based View-Prediction into H.264 for Multiview-Image Coding

Y. Morvan, D.S. Farin, P.H.N. With, de

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

We investigate the coding of multiview images obtained from a set of multiple cameras. To exploit the inter-view correlation, two view-prediction tools have been implemented and used in parallel: a block-based motion compensation scheme and a depth image based rendering technique (DIBR). Whereas DIBR relies on an accurate depth image, the block-based motion-compensation scheme can be performed without any geometry information. Our encoder adaptively selects the most appropriate prediction scheme using a rate-distortion criterion for an optimal prediction-mode selection. The attractiveness of the algorithm is that the compression algorithm is robust against inaccurately estimated depth images and requires only one single reference camera for fast random-access to different views. We present experimental results for several multiview sequences, that result in a quality improvement of up to 1.4 dB as compared to H.264 compression.
Original languageEnglish
Title of host publicationProceedings of the 14th International Conference on Image Processing (ICIP 2007) 16-19 September 2007, SAn Antonio, Texas, USA
Place of PublicationPiscataway, New Jersey, USA
PublisherInstitute of Electrical and Electronics Engineers
Pages205-208
ISBN (Print)978-1-424-41436-9
DOIs
Publication statusPublished - 2007
Event14th IEEE International Conference on Image Processing (ICIP 2007) - San Antonio, TX, United States
Duration: 16 Sep 200719 Sep 2007
Conference number: 14

Conference

Conference14th IEEE International Conference on Image Processing (ICIP 2007)
Abbreviated titleICIP 2007
Country/TerritoryUnited States
CitySan Antonio, TX
Period16/09/0719/09/07

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