JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2013, Vol. 43 ›› Issue (1): 15-21.

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New scalable ROI algorithm based on visual attention

CHEN Xu1, ZHANG Ji-hong2, LIU Wei2, LIANG Yong-sheng2   

  1. 1. School of Information Engineering, Shenzhen University, Shenzhen 518060, China;
    2. Shenzhen Key Lab of Visual Media Processing and Transmission, Shenzhen Institute of Information Technology,Shenzhen 518029, China
  • Received:2012-12-05 Online:2013-02-20 Published:2012-12-05

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Abstract:

In order to make full use of video coding bit-steam and high subjective QoE(quality of experience), a AOF(area of fixation) detection model was proposed based on current achievements of psychology and visual attention. Combined with saliency calculation and eye-movement tracking analysis, this model could obtain the AOF of different viewing duration. According to the AOF, a method of content-aware rate adaptation was also proposed.  The experimental results showed that the proposed method could outperform than the other existing methods and could improve the subjective QoE when coding and transmission in situation of limited bandwidth.

Key words: H.264／SVC, eye movement, visual attention, saliency calculation, bitstream extractor

CLC Number: 

  • TP391
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