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Search engines play a very important role in daily life. As multimedia product becomes more and more popular, people have developed search engines for images and videos. In the first part of this thes...
In traditional partial-duplicate image retrieval, imagesare commonly represented using the Bag-of-Visual-Words(BOV) model built from image local features, such as SIFT.Actually, there is only a small ...
Bag-of-visual Words (BoW) image representation has been illustrated as one of the most promising solutions for large-scale near-duplicatedimageretrieval. However, the traditional visual vocabulary is ...
Previous web image re-ranking approaches usually construct similarity measure on image level. Considering the diversity of large scale web image database, these approaches ignore the difference of imp...
Fusion of visual content with textual information is an effective way for both content-based and keyword-based image retrieval. However, the performance of visual & textual fusion is affected greatly ...
The explosion of multimedia data necessitates effective and efficient ways for us to get access to our desired ones. In this article,we draw an analogy between image retrieval and text retrieval...
In this paper, we present our solutions for the WikipediaMM task at ImageCLEF 2008. The aim of this task is to investigate effective retrieval approaches in the context of a large-scale and heterogene...
This paper considers the semantic gap in content-based image retrieval from two aspects: (1) irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsupe...

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