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DC Field | Value | Language |
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dc.contributor.author | Jiang, Xiaoran | - |
dc.contributor.author | Le Pendu, Mikael | - |
dc.contributor.author | Farrugia, Reuben A. | - |
dc.contributor.author | Guillemot, Christine | - |
dc.contributor.author | Hemami, Sheila S. | - |
dc.date.accessioned | 2017-11-21T08:22:59Z | - |
dc.date.available | 2017-11-21T08:22:59Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Jiang, X., Le Pendu, M., Farrugia, R.A., Hemami, S. S., & Guillemot, C. (2017). Homography-based low rank approximation of light fields for compression. International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans. 1313-1317. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/24011 | - |
dc.description.abstract | This paper studies the problem of low rank approximation of light fields for compression. A homography-based approximation method is proposed which jointly searches for homographies to align the different views of the light field together with the low rank approximation matrices. We first consider a global homography per view and show that depending on the variance of the disparity across views, the global homography is not sufficient to well-align the entire images. In a second step, we thus consider multiple homographies, one per region, the region being extracted using depth information. We first show the benefit of the joint optimization of the homographies together with the low-rank approximation. The resulting compact representation is then compressed using HEVC and the results are compared with those obtained by directly applying HEVC on the light field views re-structured as a video sequence. The experiments using different data sets show substantial PSNR-rate gain of our method, especially for real light fields. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Matrices | en_GB |
dc.subject | Approximation theory | en_GB |
dc.subject | Sequential analysis | en_GB |
dc.subject | Video recording | en_GB |
dc.title | Homography-based low rank approximation of light fields for compression | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | International Conference on Acoustics, Speech and Signal Processing (ICASSP) | en_GB |
dc.bibliographicCitation.conferenceplace | New Orleans, USA, 5-9/03/2017 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1109/ICASSP.2017.7952369 | - |
Appears in Collections: | Scholarly Works - FacICTCCE |
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RA448dbfb52d1fec6a15448b70162f84f372e2.pdf Restricted Access | 3.43 MB | Adobe PDF | View/Open Request a copy |
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