Interactive image search by 2D semantic map
Proceedings of the 19th international conference on World wide web
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Learning to Detect a Salient Object
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive Image Search by Color Map
ACM Transactions on Intelligent Systems and Technology (TIST)
Web-scale image search by color sketch
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Salient object detection for searched web images via global saliency
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Contextual Dominant Color Name Extraction for Web Image Search
ICMEW '12 Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops
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Image search relying on surrounding texts can return reliably relevant images to some extent. Most recent efforts are focusing on utilizing visual contents to help users find images with specific visual requirements. In this demonstration, we show a color filter scheme for image search, which enables users to find images containing objects or scenes with their interested color. Color is one of the most crucial cues in describing visual contents and has been frequently used in various applications. The key components in developing our demo include salient object detection and perceptual color naming. The color filter in Microsoft Bing image search is developed using these techniques.