Experiments on using semantic distances between words in image caption retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Concept decompositions for large sparse text data using clustering
Machine Learning
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Blobworld: A System for Region-Based Image Indexing and Retrieval
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
WebSeer: An Image Search Engine for the World Wide Web
WebSeer: An Image Search Engine for the World Wide Web
The Journal of Machine Learning Research
Recognizing faces with PCA and ICA
Computer Vision and Image Understanding - Special issue on Face recognition
ViVo: Visual Vocabulary Construction for Mining Biomedical Images
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Journal of Cognitive Neuroscience
Image classification for content-based indexing
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Diffusion maps-based image clustering
Proceedings of the 2006 international workshop on Research issues in digital libraries
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Extending our previous work on visual keywords, we use the concept of template-based visual keywords using MPEG-7 color descriptors. MPEG-7, also called the Multimedia Content Description Interface, has been a standard for many years. These color descriptors have the ability to characterize perceptual color similarity and need relatively low complexity operations to extract them, besides being scalable and interoperable. We then demonstrate the power of these visual keywords for image clustering, when used in tandem with textual keyword annotations, in the context of latent semantic analysis, a popular technique in classical information retrieval which has been used to reveal the underlying semantic structure of document collections.