Luo Qingqing

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Recent years have witnessed the success of many online social media websites. Social images are usually associated with a set of user-provided descriptors called tags, and thus tag-based search can be easily accomplished by using the descriptors as index terms. However, the existing ranking methods for tag-based image search frequently return results that(More)
Image segmentation is a fundamental process in computer vision applications. This paper presents a novel method to deal with the issue of image segmentation. Each image is first segmented coarsely, and represented as a graph model. Then, a semi-supervised algorithm is utilized to estimate the relevance between labeled nodes and unlabeled nodes to construct(More)
Social media webs allow users to describe the media content with tags. However, tagging all images in a photo album is a time-consuming task and assigning unified tags to the whole album will greatly degrade the tagging accuracy. In this paper, a novel scheme to automatically tagging photo albums is proposed. For a photo album, an affinity propagation(More)
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