学位论文详细信息
Visual Attention-based Small Screen Adaptation for H.264 Videos | |
visual attention;video adaptation;H.264;Electrical and Computer Engineering | |
Mukherjee, Abir | |
University of Waterloo | |
关键词: visual attention; video adaptation; H.264; Electrical and Computer Engineering; | |
Others : https://uwspace.uwaterloo.ca/bitstream/10012/3929/1/A.Mukherjee_MASc_Thesis.pdf | |
瑞士|英语 | |
来源: UWSPACE Waterloo Institutional Repository | |
【 摘 要 】
We develop a framework that uses visual attention analysis combined with temporalcoherence to detect the attended region from a H.264 video bitstream, and display it ona small screen. A visual attention module based upon Walther and Koch;;s model gives usthe attended region in I-frames. We propose a temporal coherence matching framework thatuses the motion information in P-frames to extend the attended region over the H.264video sequence. Evaluations show encouraging results with over 80% successful detection rate for objects of interest, and 85% respondents claiming satisfactory output.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
Visual Attention-based Small Screen Adaptation for H.264 Videos | 495KB | download |