In this paper, we present a method to retrieve natural images by sketch query. To measure the similarity between the sketch and an image, relevant regions are first located in that image through a multi-resolution search, and a normalized local shape similarity is proposed for image retrieval. Efficiency and other implementation issues are discussed. Experimental results show that it is an effective approach for content-based image retrieval
['Jinyi Yao', 'Mingjing Li', 'Zhiwei Li', 'Lei Zhang', 'Wei-Ying Ma']
Natural Image Retrieval with Sketches