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dc.contributor.authorMukherjee, Abir 13:34:44 (GMT) 13:34:44 (GMT)
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.publisherUniversity of Waterlooen
dc.subjectvisual attentionen
dc.subjectvideo adaptationen
dc.titleVisual Attention-based Small Screen Adaptation for H.264 Videosen
dc.typeMaster Thesisen
dc.subject.programElectrical and Computer Engineeringen and Computer Engineeringen
uws-etd.degreeMaster of Applied Scienceen

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