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Robust optical flow estimation in MPEG sequences

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dc.contributor.author Rapantzikos, K en
dc.contributor.author Zervakis, M en
dc.date.accessioned 2014-03-01T02:43:30Z
dc.date.available 2014-03-01T02:43:30Z
dc.date.issued 2005 en
dc.identifier.issn 15206149 en
dc.identifier.uri http://hdl.handle.net/123456789/31445
dc.subject Hypothesis Test en
dc.subject Objective Function en
dc.subject Optical Flow Estimation en
dc.subject Velocity Field en
dc.subject Video Analysis en
dc.subject Video Indexing en
dc.subject Optical Flow en
dc.subject Real Time en
dc.subject.other Decompression en
dc.subject.other Motion discontinuities en
dc.subject.other Real time video indexing en
dc.subject.other Robust optical flow estimation en
dc.subject.other Computer vision en
dc.subject.other Functions en
dc.subject.other Image analysis en
dc.subject.other Motion compensation en
dc.subject.other Optical flows en
dc.subject.other Robustness (control systems) en
dc.subject.other Image compression en
dc.title Robust optical flow estimation in MPEG sequences en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICASSP.2005.1415549 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICASSP.2005.1415549 en
heal.identifier.secondary 1415549 en
heal.publicationDate 2005 en
heal.abstract Motion information is essential in many computer vision and video analysis tasks. Since MPEG is still one of the most prevalent formats for representing, transferring and storing video data, the analysis of its motion field is important for real time video indexing and segmentation, event analysis and surveillance applications. Our work considers the problem of improving the optical flow field in MPEG sequences. We address the issues of robust, incremental, dense optical flow estimation by combining information from two different velocity fields: the available MPEG motion field and the one inferred by a multiresolution robust regularization technique applied on the DC coefficients. Thus, the regularization technique is based only on information that is directly available in the compressed stream avoiding therefore the time and memory consuming decompression. We extend standard techniques by adding a temporal continuity and an MPEG consistency constraint, both as mathematical constraints in the objective function and as hypothesis tests for the presence of motion discontinuities. Our approach is shown to perform well over a range of different motion scenarios and can serve as a basis for efficient video analysis tasks. © 2005 IEEE. en
heal.journalName ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings en
dc.identifier.doi 10.1109/ICASSP.2005.1415549 en
dc.identifier.volume II en
dc.identifier.spage II893 en
dc.identifier.epage II896 en


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