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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...
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 b...
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) unsup...
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 im...
In this paper, we draw an analogy between image retrieval and text retrieval and propose a visual phrase-based approach to retrieve images containing desired objects. The visual phrase is defined as a...
In the area of image retrieval, post-retrieval processing is often used to refine the retrieval results to better satisfy users’requirements. Previous methods mainly focus on presenting users with rel...
In the area of image retrieval, search engines are tender to retrieve images that are most relevant to the users’ queries. Nevertheless, in most cases,queries cannot be represented just by several que...
Adaptive relevance feedback based on Bayesian inference for image retrieval.

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