Photobook: content-based manipulation of image databases
International Journal of Computer Vision
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
PicASHOW: pictorial authority search by hyperlinks on the Web
Proceedings of the 10th international conference on World Wide Web
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Unifying Keywords and Visual Contents in Image Retrieval
IEEE MultiMedia
Supporting Ranked Boolean Similarity Queries in MARS
IEEE Transactions on Knowledge and Data Engineering
Combining text and image information in content-based retrieval
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
CLUE: cluster-based retrieval of images by unsupervised learning
IEEE Transactions on Image Processing
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The main obstacle in realizing semantic-based image retrieval is from the web that semantic description of an image is difficult to capture in low-level features. Text based keywords can be generated from web documents to capture semantic information narrowing down the search space. We use an effective dynamic approach to integrate keywords and color-texture features to take advantage of their complementing strengths. Experimental results show that the integrated approach has better retrieval performance than both the text based and the content-based techniques.