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
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.
Original language | English |
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Title of host publication | Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014 |
Number of pages | 5 |
Publisher | IEEE |
Publication date | 2014 |
Pages | 286-290 |
ISBN (Electronic) | 978-0-9928-6261-9 |
Publication status | Published - 2014 |
Event | 22nd European Signal Processing Conference - Lisbon, Portugal Duration: 1 Sep 2014 → 5 Sep 2014 |
Conference
Conference | 22nd European Signal Processing Conference |
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Land | Portugal |
By | Lisbon |
Periode | 01/09/2014 → 05/09/2014 |
Series | Proceedings of the European Signal Processing Conference |
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ISSN | 2076-1465 |
Links
- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6952056
Final published version
ID: 138458298