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A novel long-term learning algorithm for relevance feedback in content-based image retrieval

✍ Scribed by Hui Lu, Xianglin Huang, Lifang Yang, Min Liu

Book ID
120782024
Publisher
Springer US
Year
2013
Tongue
English
Weight
919 KB
Volume
54
Category
Article
ISSN
1018-4864

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## Abstract In content‐based image retrieval, relevance feedback is an interactive process, which builds a bridge to connect users with the search engine. It leads to much improved retrieval performance by updating the query and the similarity measure according to a user's preference; and recently