High-dimensional visual vocabularies for image retrieval

Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07

Volumn , Issue , 2007, Pages 815-816

  Magalhaes, Joao ^a   Rueger, Stefan ^a,b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b OPEN UNIVERSITY   (United Kingdom)

Author keywords

Semantic image indexing; Vector space model

Indexed keywords

INDEXING (OF INFORMATION); MATHEMATICAL MODELS; PROBLEM SOLVING; QUERY PROCESSING; SEMANTICS; TEXT PROCESSING;

IMAGE DOCUMENTS; SEMANTIC IMAGE INDEXING; VECTOR SPACE MODEL;

IMAGE PROCESSING;

EID: 36448989266     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1277741.1277923     Document Type: Conference Paper

References (6)

1. P. Duygulu, K. Barnard, N. de Freitas, D. Forsyth, "Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary," ECCV, Copenhagen, Denmark, 2002.
2. T. Joachims, "A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization," ICML, Nashville, US, 1997.
3. V. Lavrenko, R. Manmatha, J. Jeon, "A model for learning the semantics of pictures," NIPS, Vancouver, Canada, 2003.
4. J. Magalhães, S. Rüger, "Logistic regression of generic codebooks for semantic image retrieval," CIVR Phoenix, AZ, USA, 2006.
5. A. McCallum, K. Nigam, "A comparison of event models for naive Bayes text classification," AAAI Workshop on Learning for Text Categorization, 1998.
6. J. Rocchio, "Relevance feedback in information retrieval," in The SMART Retrieval System: Experiments in Automatic Text Retrieval, G. Saltón, Ed.: Prentice-Hall, 1971, pp. 313-323.