Joint disparity and motion estimation using optical flow for multiview distributed video coding

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

2 Citationer (Scopus)

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% (Bjontegaard) in bit-rate savings, when compared with block-based SI generation algorithms leveraging temporal and inter-view redundancies.

OriginalsprogEngelsk
TitelProceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014
Antal sider5
ForlagIEEE
Publikationsdato10 nov. 2014
Sider286-290
ISBN (Elektronisk)978-0-9928-6261-9
StatusUdgivet - 10 nov. 2014
Begivenhed22nd European Signal Processing Conference - Lisbon, Portugal
Varighed: 1 sep. 20145 sep. 2014

Konference

Konference22nd European Signal Processing Conference
Land/OmrådePortugal
ByLisbon
Periode01/09/201405/09/2014
NavnProceedings of the European Signal Processing Conference
ISSN2076-1465

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