Ten Years of Relevance Score for Content Based Image Retrieval

MLDM, pp. 117-131, 2018.

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Abstract:

After more than 20 years of research on Content-Based Image Retrieval (CBIR), the community is still facing many challenges to improve the retrieval results by filling the semantic gap between the user needs and the automatic image description provided by different image representations. Including the human in the loop through Relevance F...More

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