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With the rapid development of social media, research about its application and organization has attracted considerable attention. Many social media sharing websites allow users to tag the uploaded images with tags. However, the tags are usually uncontrolled, ambiguous, and overly personalized. One of the most challenging issues is how to match the textual tags with the visual image to rank tags accurately...
For the network environment with the limited transmission capacity, a multi-nodes image retrieval method based on visual words is proposed. Firstly, the visual words of query image are built by using the K-means clustering method after the color features and SIFT features of query image are extracted. Then the visual-words histogram of the query image is carried by the mobile Agent. The image similarity...
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