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dc.contributor.authorMukherjee, Abir
dc.date.accessioned2008-08-29 13:34:44 (GMT)
dc.date.available2008-08-29 13:34:44 (GMT)
dc.date.issued2008-08-29T13:34:44Z
dc.date.submitted2008
dc.identifier.urihttp://hdl.handle.net/10012/3929
dc.description.abstractWe develop a framework that uses visual attention analysis combined with temporal coherence to detect the attended region from a H.264 video bitstream, and display it on a small screen. A visual attention module based upon Walther and Koch's model gives us the attended region in I-frames. We propose a temporal coherence matching framework that uses the motion information in P-frames to extend the attended region over the H.264 video sequence. Evaluations show encouraging results with over 80% successful detection rate for objects of interest, and 85% respondents claiming satisfactory output.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.subjectvisual attentionen
dc.subjectvideo adaptationen
dc.subjectH.264en
dc.titleVisual Attention-based Small Screen Adaptation for H.264 Videosen
dc.typeMaster Thesisen
dc.pendingfalseen
dc.subject.programElectrical and Computer Engineeringen
uws-etd.degree.departmentElectrical and Computer Engineeringen
uws-etd.degreeMaster of Applied Scienceen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


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