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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 會議論文  >  Video saliency detection in the compressed domain

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83997

    Title: Video saliency detection in the compressed domain
    Authors: Yuming Fang;Weisi Lin;Zhenzhong Chen;Chia-Wen Lin
    教師: 林嘉文
    Date: 2012
    Publisher: Association for Computing Machinery
    Relation: ACM Multimedia (Short Paper Track), Nara, Arizona, Japan, October 29–November 2, 2012, Pages 697-700
    Keywords: video saliency detection
    compressed domain
    Abstract: Saliency detection is widely used to extract the regions of interest in images. Many saliency detection models have been proposed for videos in the uncompressed domain. However, videos are always stored in the compressed domain such as MPEG2, H.264, MPEG4 Visual, etc. In this study, we propose a video saliency detection model based on feature contrast in the compressed domain. Four features of luminance, color, texture and motion are extracted from DCT coefficients and motion vectors in the video bitstream. The static saliency map of video frames is calculated based on the luminance, color and texture features, while the motion saliency map for video frames is computed by motion feature. The final saliency map for video frames is obtained through combining the static saliency map and motion saliency map. Experimental results show good performance of the proposed video saliency detection model in the compressed domain.
    Relation Link: http:/dx.doi.org/10.1145/2393347.2396290
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83997
    Appears in Collections:[電機工程學系] 會議論文
    [光電研究中心] 會議論文

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