Abstract:Image search is a challenging process in the field of Content Based Image Retrieval (CBIR). Image search-by-example, search-bykeyword and search-by-sketch methods seldom provide user interface that allows user to accurately formulate their search intent easily. To overcome such issue, a novel image search interface-Semantic Visual Query Builder (SeVQer) is proposed as a non-verbal interface which allows user to drag and drop from the image data provided to formulate user query. The drag and drop mechanism mini… Show more
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