Clustering for photo retrieval at image CLEF 2008

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5706 LNCS, Issue , 2009, Pages 685-690

  Inkpen, Diana ^a   Stogaitis, Marc ^a   Deguire, François ^a   Alzghool, Muath ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Agglomerative clustering; Image retrieval; Information retrieval; K means clustering; Photographs; Text retrieval; WordNet based clustering

Indexed keywords

AGGLOMERATIVE CLUSTERING; CLUSTERING METHODS; HIER-ARCHICAL CLUSTERING; IMAGE INDEXING; K-MEANS CLUSTERING; PHOTO RETRIEVAL; SYSTEM USE; TEXT RETRIEVAL; TEXT-INDEXING; UNIVERSITY OF OTTAWA; WORDNET;

FLUORINE CONTAINING POLYMERS; INDEXING (OF INFORMATION); INFORMATION SERVICES; LINGUISTICS; MULTI AGENT SYSTEMS; ONTOLOGY; PHOTOGRAPHY; SEMANTIC WEB; WATER SUPPLY SYSTEMS;

IMAGE RETRIEVAL;

EID: 70549084022     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04447-2_86     Document Type: Conference Paper

References (3)

1. Fellbaum, C. (ed.): WordNet, An Electronic Lexical Database. MIT Press, Cambridge (1998)
2. Lee, J.H.: Combining multiple evidence from different properties of weighting schemes. In: Proceedings of the Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, Seattle, Washington, United States. ACM, New York (1995)
3. Shaw, J.A., Fox, E.A.: Combination of Multiple Searches. National Institute of Standards and Technology Special Publication (1994)