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

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

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

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

Department of Computer Science

2 Citations (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.

Original language	English
Title of host publication	Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014
Number of pages	5
Publisher	IEEE
Publication date	10 Nov 2014
Pages	286-290
ISBN (Electronic)	978-0-9928-6261-9
Publication status	Published - 10 Nov 2014
Event	22nd European Signal Processing Conference - Lisbon, Portugal Duration: 1 Sept 2014 → 5 Sept 2014

Conference

Conference	22nd European Signal Processing Conference
Country/Territory	Portugal
City	Lisbon
Period	01/09/2014 → 05/09/2014

Series	Proceedings of the European Signal Processing Conference
ISSN	2076-1465

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JOINT DISPARITY AND MOTION ESTIMATION USING OPTICAL FLOW FOR MULTIVIEW DISTRIBUTED VIDEO CODINGFinal published version, 288 KB

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6952056

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Salmistraro, M., Raket, L. L., Brites, C., Ascenso, J., & Forchhammer, S. (2014). Joint disparity and motion estimation using optical flow for multiview distributed video coding. In Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014 (pp. 286-290). IEEE. Proceedings of the European Signal Processing Conference http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6952056

Joint disparity and motion estimation using optical flow for multiview distributed video coding. / Salmistraro, Matteo; Raket, Lars Lau; Brites, Catarina et al.

Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014. IEEE, 2014. p. 286-290 (Proceedings of the European Signal Processing Conference).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Salmistraro, M, Raket, LL, Brites, C, Ascenso, J & Forchhammer, S 2014, Joint disparity and motion estimation using optical flow for multiview distributed video coding. in Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014. IEEE, Proceedings of the European Signal Processing Conference, pp. 286-290, 22nd European Signal Processing Conference, Lisbon, Portugal, 01/09/2014. <http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6952056>

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title = "Joint disparity and motion estimation using optical flow for multiview distributed video coding",

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.",

author = "Matteo Salmistraro and Raket, {Lars Lau} and Catarina Brites and Jo{\~a}o Ascenso and S{\o}ren Forchhammer",

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AU - Salmistraro, Matteo

AU - Raket, Lars Lau

AU - Brites, Catarina

AU - Ascenso, João

AU - Forchhammer, Søren

PY - 2014/11/10

Y1 - 2014/11/10

N2 - 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.

AB - 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.

M3 - Article in proceedings

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BT - Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014

PB - IEEE

T2 - 22nd European Signal Processing Conference

Y2 - 1 September 2014 through 5 September 2014

ER -

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

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