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.
| Identifer | oai:union.ndltd.org:WATERLOO/oai:uwspace.uwaterloo.ca:10012/3929 |
| Date | January 2008 |
| Creators | Mukherjee, Abir |
| Source Sets | University of Waterloo Electronic Theses Repository |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
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