It takes the average reader and 39 minutes to read Visual Attention-based Small Screen Adaptation for H.264 Videos by Abir Mukherjee
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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.
Visual Attention-based Small Screen Adaptation for H.264 Videos by Abir Mukherjee is 38 pages long, and a total of 9,804 words.
This makes it 13% the length of the average book. It also has 12% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes and 53 minutes to read Visual Attention-based Small Screen Adaptation for H.264 Videos aloud.
Visual Attention-based Small Screen Adaptation for H.264 Videos is suitable for students ages 8 and up.
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