Internet Multimedia Search and Mining

Indexed in: EBSCO.

With the explosion of video and image data available on the Internet, desktops and mobile devices, multimedia search has gained immense importance. Moreover, mining semantics and other useful ...
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Image Search by Color Sketch

Pp. 434-455 (22)

Jingdong Wang, Yinghai Zhao and Xian-Sheng Hua

Abstract

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.

Keywords:

Image search, color sketch, intention map, image content, interactive image search, QBIC, spatial correspondence, spatial relation, contextual color map, color similarity, spatial occurrence

Affiliation:

Microsoft Research Asia.