Query-by-sketch image retrieval using relevance feedback

Gosuke Ohashi; Yoshifumi Shimodaira

doi:10.1117/12.647689

6 December 2005 Query-by-sketch image retrieval using relevance feedback

Gosuke Ohashi, Yoshifumi Shimodaira

Proceedings Volume 6051, Optomechatronic Machine Vision; 60510Z (2005) https://doi.org/10.1117/12.647689
Event: Optomechatronic Technologies 2005, 2005, Sapporo, Japan

Abstract

The present paper describes a query-by-sketch image retrieval system aimed at reducing the semantic gap by adopting relevance feedback. To reduce the semantic gap between low-level visual features and high-level semantics, in this content-based image retrieval system, users' sketches play an important role in relevance feedback. When users mark similar images of output images with "relevant" labels, the "relevant" images are relevant to the sketch image in positive feedback. This method was applied to 5,500 images in Corel Photo Gallery. Experimental results show that the proposed method is effective in retrieving images.

Citation Download Citation

Gosuke Ohashi and Yoshifumi Shimodaira "Query-by-sketch image retrieval using relevance feedback", Proc. SPIE 6051, Optomechatronic Machine Vision, 60510Z (6 December 2005); https://doi.org/10.1117/12.647689

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