PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Content-based retrieval of web pages and other hierarchical objects with Self-Organizing Maps
Mats Sjöberg and Jorma Laaksonen
In: 15th International Conference on Artificial Neural Networks, 11-15 Sep 2005, Warsaw, Poland.


We propose a content-based information retrieval (CBIR) method that models known relationships between multimedia objects as a hierarchical tree-structure incorporating additional implicit semantic information. The objects are indexed based on their contents by mapping automatically extracted low-level features to a set of Self-Organized Maps (SOMs). The retrieval result is formed by estimating the relevance of each object by using the SOMs and relevance sharing in the hierarchical object structure. We demonstrate the usefulness of this approach with a small-scale experiment by using our PicSOM CBIR system.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Machine Vision
User Modelling for Computer Human Interaction
Natural Language Processing
Multimodal Integration
Theory & Algorithms
Information Retrieval & Textual Information Access
ID Code:1731
Deposited By:Jorma Laaksonen
Deposited On:28 November 2005