VisualGREP: A Systematic Method to Compare and RetrieveVideo Sequences
Multimedia Tools and Applications
An Evaluation of Color-Spatial Retrieval Techniques for Large Image Databases
Multimedia Tools and Applications
Scene Determination Based on Video and Audio Features
Multimedia Tools and Applications
A Framework for Object-Based Image Retrieval at the Semantic Level
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
An Experiment on Generic Image Classification Using Web Images
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Generic image classification using visual knowledge on the web
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A bootstrapping approach to annotating large image collection
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Image recognition for digital libraries
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Clustering web images using association rules, interestingness measures, and hypergraph partitions
ICWE '06 Proceedings of the 6th international conference on Web engineering
Sunset scene classification using simulated image recomposition
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
| Hi-index | 0.00 |
Retrieving images from very large collections using image content as a key is becoming an important problem. Classifying images into visual categories and finding objects in image databases are two major challenges in the field. This paper describes our approach toward the first of the two tasks, the generalization of which we believe will assist in the second task as well. We define a "blob world" representation which provides a transition from the raw pixel data to a small set of localized coherent regions in color and texture space. Learning is then utilized to extract a probabilistic interpretation of the scene. Experimental results are presented for more than 1000 images from the Corel photo collection.