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  • Yao Xue, Xueming Qian
  • 2012
In this paper, we describe an approach for visually summarizing a landmark by recommending images with diverse viewpoints (e.g. front-side viewpoint, bottom-top viewpoint, close-distant viewpoint, etc). Our approach models an image's viewpoint using a 4-D viewpoint vector, which describes viewpoint in horizontal, vertical, scale and orientation aspects. To(More)
In social image sharing websites, users provide several descriptive tags to annotate their shared images. Usually, the raw tags are noisy, biased and incomplete. How to filter the tags is important for tag based applications. In this paper, a similar compatible principle based tag filtering approach is proposed. We classify tags into two sets. One is(More)
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