Unifying textual and visual cues for content-based image retrieval on the World Wide Web
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visually Searching the Web for Content
IEEE MultiMedia
Recognition of Images in Large Databases Using a Learning Framework
Recognition of Images in Large Databases Using a Learning Framework
WebSeer: An Image Search Engine for the World Wide Web
WebSeer: An Image Search Engine for the World Wide Web
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Automatic categorization for WWW images with applications for retrieval navigation
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
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In this paper, we describe an experiment on generic image classification using a large number of images gathered from the Web as learning images. The processing consists of three steps. In the gathering stage, a system gathers images related to given class keywords from the Web automatically. In the learning stage, it extracts image features from gathered images and associates them with each class. In the classification stage, the system classifies a test image into one of classes corresponding to the class keywords by using the association between image features and classes. In the experiments, we achieved a classification rate 44.6% for generic images by using images gathered from the World-Wide Web automatically as learning images.