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Visual Attention-based Small Screen Adaptation for H.264 Videos

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A.Mukherjee_MASc_Thesis.pdf (495.77 KB)

Date

2008-08-29T13:34:44Z

Authors

Mukherjee, Abir

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Publisher

University of Waterloo

Abstract

We 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.

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Keywords

visual attention, video adaptation, H.264

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URI

http://hdl.handle.net/10012/3929

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Theses
Electrical and Computer Engineering