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- W2022611962 abstract "In this paper, we propose an automatic image browsing method based on image categorization to effectively browsehigh-resolution images on small-display-devices such as cellular phones and digital cameras. Based on face detectionalgorithm and spectrum analysis, input images are categorized into face images and non-face images. The non-faceimages are again categorized into close-up view images and non-close-up view images. For the non-close-up viewimages, we conduct further classification into images-with-vanishing-point and images-without-vanishing-point. In theface images case, the browsing path is determined by face locations. In images with vanishing point case, the path isdecided along the vanishing lines, while in case of images without vanishing point, we detect the saliency regions usingcolor variance and edges, and the browsing route is determined by the location of saliency regions. We estimate theaccuracy of the proposed image classification algorithm through experiments. Subjective evaluation is also conducted toassess the proposed system for automatic image browsing. Experimental results indicate that our system increasesviewing satisfaction to small-display viewers." @default.
- W2022611962 created "2016-06-24" @default.
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- W2022611962 date "2009-08-20" @default.
- W2022611962 modified "2023-09-22" @default.
- W2022611962 title "Automatic browsing of large images on small display" @default.
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- W2022611962 doi "https://doi.org/10.1117/12.830457" @default.
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