Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow

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

Standard

Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow. / Salmistraro, Matteo; Zamarin, Marco; Raket, Lars Lau; Forchhammer, Søren.

2013 IEEE International Conference on Acoustics, Speech and Signal Processing: proceedings. IEEE, 2013. p. 1685-1689.

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

Harvard

Salmistraro, M, Zamarin, M, Raket, LL & Forchhammer, S 2013, Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow. in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing: proceedings. IEEE, pp. 1685-1689, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, 26/05/2013. https://doi.org/10.1109/ICASSP.2013.6637939

APA

Salmistraro, M., Zamarin, M., Raket, L. L., & Forchhammer, S. (2013). Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing: proceedings (pp. 1685-1689). IEEE. https://doi.org/10.1109/ICASSP.2013.6637939

Vancouver

Salmistraro M, Zamarin M, Raket LL, Forchhammer S. Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing: proceedings. IEEE. 2013. p. 1685-1689 https://doi.org/10.1109/ICASSP.2013.6637939

Author

Salmistraro, Matteo ; Zamarin, Marco ; Raket, Lars Lau ; Forchhammer, Søren. / Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing: proceedings. IEEE, 2013. pp. 1685-1689

Bibtex

@inproceedings{ec3a730a0782472196d6e2f22b68982e,
title = "Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow",
abstract = "Distributed Video Coding (DVC) is a video coding paradigm allowing a shift of complexity from the encoder to the de- coder. Depth maps are images enabling the calculation of the distance of an object from the camera, which can be used in multiview coding in order to generate virtual views, but also in single view coding for motion detection or image segmen- tation. In this work, we address the problem of depth map video DVC encoding in a single-view scenario. We exploit the motion of the corresponding texture video which is highly correlated with the depth maps. In order to extract the motion information, a block-based and an optical flow-based meth- ods are employed. Finally we fuse the proposed Side Informations using a multi-hypothesis DVC decoder, which allows us to exploit the strengths of all the proposed methods at the same time.",
author = "Matteo Salmistraro and Marco Zamarin and Raket, {Lars Lau} and S{\o}ren Forchhammer",
year = "2013",
doi = "10.1109/ICASSP.2013.6637939",
language = "English",
isbn = "978-1-4799-0356-6",
pages = "1685--1689",
booktitle = "2013 IEEE International Conference on Acoustics, Speech and Signal Processing",
publisher = "IEEE",
note = "null ; Conference date: 26-05-2013 Through 31-05-2013",

}

RIS

TY - GEN

T1 - Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow

AU - Salmistraro, Matteo

AU - Zamarin, Marco

AU - Raket, Lars Lau

AU - Forchhammer, Søren

PY - 2013

Y1 - 2013

N2 - Distributed Video Coding (DVC) is a video coding paradigm allowing a shift of complexity from the encoder to the de- coder. Depth maps are images enabling the calculation of the distance of an object from the camera, which can be used in multiview coding in order to generate virtual views, but also in single view coding for motion detection or image segmen- tation. In this work, we address the problem of depth map video DVC encoding in a single-view scenario. We exploit the motion of the corresponding texture video which is highly correlated with the depth maps. In order to extract the motion information, a block-based and an optical flow-based meth- ods are employed. Finally we fuse the proposed Side Informations using a multi-hypothesis DVC decoder, which allows us to exploit the strengths of all the proposed methods at the same time.

AB - Distributed Video Coding (DVC) is a video coding paradigm allowing a shift of complexity from the encoder to the de- coder. Depth maps are images enabling the calculation of the distance of an object from the camera, which can be used in multiview coding in order to generate virtual views, but also in single view coding for motion detection or image segmen- tation. In this work, we address the problem of depth map video DVC encoding in a single-view scenario. We exploit the motion of the corresponding texture video which is highly correlated with the depth maps. In order to extract the motion information, a block-based and an optical flow-based meth- ods are employed. Finally we fuse the proposed Side Informations using a multi-hypothesis DVC decoder, which allows us to exploit the strengths of all the proposed methods at the same time.

U2 - 10.1109/ICASSP.2013.6637939

DO - 10.1109/ICASSP.2013.6637939

M3 - Article in proceedings

SN - 978-1-4799-0356-6

SP - 1685

EP - 1689

BT - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing

PB - IEEE

Y2 - 26 May 2013 through 31 May 2013

ER -

ID: 44837737