Title :
An effective image representation for visual information retrieval
Author_Institution :
School of Computing & Information Technology, Griffith University, Australia 4111
Abstract :
This paper presents an agent-oriented approach to visual information retrieval. A new data model is introduced to represent image content in a top-down fashion and a deductive agent-oriented database structure is proposed to facilitate visual information representation, indexing, query, searching and maintenance. In addition, the integration of techniques in image understanding and information retrieval is adopted for effective and efficient visual information retrieval.
Keywords :
Data models; Feature extraction; Image color analysis; Indexing; Shape; Splines (mathematics); Visualization;
Conference_Titel :
Signal Processing Conference, 2000 10th European
Conference_Location :
Tampere, Finland
Print_ISBN :
978-952-1504-43-3