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

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

Standard

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

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

Harvard

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>

APA

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

Vancouver

Salmistraro M, Raket LL, Brites C, Ascenso J, Forchhammer S. 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. 2014. p. 286-290. (Proceedings of the European Signal Processing Conference).

Author

Salmistraro, Matteo ; Raket, Lars Lau ; Brites, Catarina ; Ascenso, João ; Forchhammer, Søren. / Joint disparity and motion estimation using optical flow for multiview distributed video coding. Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014. IEEE, 2014. pp. 286-290 (Proceedings of the European Signal Processing Conference).

Bibtex

@inproceedings{18c504ce4c874700ad6fa285f8979af3,
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% (Bj{\o}ntegaard) 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",
year = "2014",
language = "English",
series = "Proceedings of the European Signal Processing Conference",
publisher = "IEEE",
pages = "286--290",
booktitle = "Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014",
note = "22nd European Signal Processing Conference, EUSIPCO 2014 ; Conference date: 01-09-2014 Through 05-09-2014",

}

RIS

TY - GEN

T1 - Joint disparity and motion estimation using optical flow for multiview distributed video coding

AU - Salmistraro, Matteo

AU - Raket, Lars Lau

AU - Brites, Catarina

AU - Ascenso, João

AU - Forchhammer, Søren

PY - 2014

Y1 - 2014

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

M3 - Article in proceedings

T3 - Proceedings of the European Signal Processing Conference

SP - 286

EP - 290

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 -

ID: 138458298