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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 期刊論文 >  A Video Saliency Detection Model in Compressed Domain


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83638


    Title: A Video Saliency Detection Model in Compressed Domain
    Authors: Yuming Fang;Weisi Lin;Zhenzhong Chen;Chia-Ming Tsai;Chia-Wen Lin
    教師: 林嘉文
    Date: 2014
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical and Electronics Engineers, Volume 24, Issue 1, Jan. 2014, Pages 27 - 38
    Keywords: Compressed domain
    video saliency detection
    visual attention
    Abstract: Saliency detection is widely used to extract regions of interest in images for various image processing applications. Recently, many saliency detection models have been proposed for video in uncompressed (pixel) domain. However, video over Internet is always stored in compressed domains, such as MPEG2, H.264, and MPEG4 Visual. In this paper, we propose a novel video saliency detection model based on feature contrast in compressed domain. Four types of features including luminance, color, texture, and motion are extracted from the discrete cosine transform coefficients and motion vectors in video bitstream. The static saliency map of unpredicted frames (I frames) is calculated on the basis of luminance, color, and texture features, while the motion saliency map of predicted frames (P and B frames) is computed by motion feature. A new fusion method is designed to combine the static saliency and motion saliency maps to get the final saliency map for each video frame. Due to the directly derived features in compressed domain, the proposed model can predict the salient regions efficiently for video frames. Experimental results on a public database show superior performance of the proposed video saliency detection model in compressed domain.
    Relation Link: http://www.ieee.org/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83638
    Appears in Collections:[電機工程學系] 期刊論文
    [光電研究中心] 期刊論文

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