Visual Attention Model Based Regions of Interest Detection in Compressed Domain[J]. Chinese Journal of Electronics, 2012, 21(4): 697-700.
Citation: Visual Attention Model Based Regions of Interest Detection in Compressed Domain[J]. Chinese Journal of Electronics, 2012, 21(4): 697-700.

Visual Attention Model Based Regions of Interest Detection in Compressed Domain

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  • Received Date: 2011-08-01
  • Rev Recd Date: 2012-02-01
  • Publish Date: 2012-10-25
  • As the reality that human beings usually pay more attention to areas of interest, visual attention model is a feasible method to find Regions of interest (ROIs) and measure the interest of a region. However, it is required to decompress image data completely. A visual attention model based ROIs detection in compressed domain is proposed in this paper, which can compute visual attention model with partially decompression. This method includes: (1) Visual saliency map computation; (2) Focus of attention (FOA) selection and shift; (3) ROIs detection. The experimental results show the proposed method performs well on the speed/accuracy of ROIs detection and interest measurement.
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