Elements of information theory
Elements of information theory
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Mental image search by boolean composition of region categories
Multimedia Tools and Applications
Image indexing and retrieval using visual terms and text-like weighting
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
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We propose a technique for automatic recognition of content in images. Our technique uses machine learning methods to build classifiers which are able to decide about the presence of semantic concepts in images. Our classifiers exploit a representation of images in terms of vectors of visual terms. A visual term represents a set of visually similar regions that can be found in images. Various types of visual terms are used at the same time to take into account various similarity criteria and region representations that are available to compare regions. Specifically, we compare regions using the 5 MPEG-7 visual descriptors. An image is indexed by first using a segmentation algorithm to extract its regions, and then the image is associated with the visual terms that are more similar to the extracted regions. The proposed technique offers very good performance as demonstrated by the experiments that we performed.