Visual Attention-based Small Screen Adaptation for H.264 Videos
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 pr...
| Main Author: | |
|---|---|
| Language: | en |
| Published: |
2008
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10012/3929 |
| Summary: | 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. |
|---|