@InProceedings{6952056,
  author = {M. Salmistraro and L. L. Rakêt and C. Brites and J. Ascenso and S. Forchhammer},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Joint disparity and motion estimation using optical flow for multiview Distributed Video Coding},
  year = {2014},
  pages = {286-290},
  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% (Bjøntegaard) in bit-rate savings, when compared with block-based SI generation algorithms leveraging temporal and inter-view redundancies.},
  keywords = {decoding;image sequences;motion compensation;motion estimation;rate distortion theory;statistical analysis;video codecs;video coding;optical flow;multiview distributed video coding;DVC;source statistics;side information;SI;monoview video codec;video temporal redundancy;motion compensation techniques;rate-distortion performance;RD performance;joint disparity-motion estimation technique;bit-rate savings;block-based SI generation algorithms;inter-view redundancy;decoder;Silicon;Video coding;Decoding;Estimation;Interpolation;Joints;Image motion analysis;Distributed Video Coding;Multiview Video;Disparity Estimation;Motion Estimation;Optical Flow},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925235.pdf},
}

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L.","Brites, C.","Ascenso, J.","Forchhammer, S."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["M."],"propositions":[],"lastnames":["Salmistraro"],"suffixes":[]},{"firstnames":["L.","L."],"propositions":[],"lastnames":["Rakêt"],"suffixes":[]},{"firstnames":["C."],"propositions":[],"lastnames":["Brites"],"suffixes":[]},{"firstnames":["J."],"propositions":[],"lastnames":["Ascenso"],"suffixes":[]},{"firstnames":["S."],"propositions":[],"lastnames":["Forchhammer"],"suffixes":[]}],"booktitle":"2014 22nd European Signal Processing Conference (EUSIPCO)","title":"Joint disparity and motion estimation using optical flow for multiview Distributed Video Coding","year":"2014","pages":"286-290","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% (Bjøntegaard) in bit-rate savings, when compared with block-based SI generation algorithms leveraging temporal and inter-view redundancies.","keywords":"decoding;image sequences;motion compensation;motion estimation;rate distortion theory;statistical analysis;video codecs;video coding;optical flow;multiview distributed video coding;DVC;source statistics;side information;SI;monoview video codec;video temporal redundancy;motion compensation techniques;rate-distortion performance;RD performance;joint disparity-motion estimation technique;bit-rate savings;block-based SI generation algorithms;inter-view redundancy;decoder;Silicon;Video coding;Decoding;Estimation;Interpolation;Joints;Image motion analysis;Distributed Video Coding;Multiview Video;Disparity Estimation;Motion Estimation;Optical Flow","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925235.pdf","bibtex":"@InProceedings{6952056,\n author = {M. Salmistraro and L. L. Rakêt and C. Brites and J. Ascenso and S. Forchhammer},\n booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},\n title = {Joint disparity and motion estimation using optical flow for multiview Distributed Video Coding},\n year = {2014},\n pages = {286-290},\n 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% (Bjøntegaard) in bit-rate savings, when compared with block-based SI generation algorithms leveraging temporal and inter-view redundancies.},\n keywords = {decoding;image sequences;motion compensation;motion estimation;rate distortion theory;statistical analysis;video codecs;video coding;optical flow;multiview distributed video coding;DVC;source statistics;side information;SI;monoview video codec;video temporal redundancy;motion compensation techniques;rate-distortion performance;RD performance;joint disparity-motion estimation technique;bit-rate savings;block-based SI generation algorithms;inter-view redundancy;decoder;Silicon;Video coding;Decoding;Estimation;Interpolation;Joints;Image motion analysis;Distributed Video Coding;Multiview Video;Disparity Estimation;Motion Estimation;Optical Flow},\n issn = {2076-1465},\n month = {Sep.},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925235.pdf},\n}\n\n","author_short":["Salmistraro, M.","Rakêt, L. 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