Image Search by Color Sketch
- Authors: Jingdong Wang1, Yinghai Zhao2, Xian Sheng Hua3
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View Affiliations Hide Affiliations1 Microsoft Research Asia 2 University of Science and Technology of China 3 Microsoft Research
- Source: Internet Multimedia Search and Mining , pp 434-455
- Publication Date: September 2013
- Language: English
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Most existing Web image search engines exploit the text information associated with images (e.g., from the surrounding text, or image title) to index images. It is still difficult and challenging to search images into the image content. Tagging is a solution, but is limited in some specific styles or types (e.g., dominant color, clip art, line drawing, or photo). In this chapter, we present a new interactive image search system, which enables users to interactively indicate the search intention, how the colors are spatially distributed in desired images, by scribbling a few color strokes or dragging an image and highlighting a few regions of interest in an intuitive way. Moreover, we propose an effective scheme to mine the latent search intention from the user's input. Experimental results demonstrate the effectiveness and efficiency of the proposed system.
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