Content-Based Exclusion Queries in Keyword-Based Image Retrieval
Eisaku Yoshikawa, Keishi Tajima · 2024
We propose a method of evaluating exclusion queries in keywordbased image retrieval.Image retrieval based on the presence of search terms in the associated text can achieve high precision, while its recall is often low because of the incompleteness of available text data.Low recall is rarely a serious problem in Web search because Web search is usually precision-oriented.By contrast, keywordbased exclusion queries for image retrieval, which include negative terms specifying what to exclude, often have low precision because of the incomplete exclusion based on the presence of the negative terms in incomplete text data.To avoid that, we exclude unwanted images not based on the presence of the negative terms, but based on the content-based similarity to images retrieved by the negative terms.Our experiment shows that our method improves the precision of exclusion queries in keyword-based image retrieval.