WordNet: a lexical database for English
Communications of the ACM
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The Philosophy of Information Retrieval Evaluation
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
Context Query in Information Retrieval
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Web Image Retrieval Re-Ranking with Relevance Model
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Image Retrieval Using Multiple Evidence Ranking
IEEE Transactions on Knowledge and Data Engineering
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Using a semantic concordance for sense identification
HLT '94 Proceedings of the workshop on Human Language Technology
Linear discriminant model for information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Semantic knowledge extraction and annotation for web images
Proceedings of the 13th annual ACM international conference on Multimedia
Enriching the knowledge sources used in a maximum entropy part-of-speech tagger
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
An empirical evaluation of knowledge sources and learning algorithms for word sense disambiguation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Image annotation: which approach for realistic databases?
Proceedings of the 6th ACM international conference on Image and video retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Learning to Rank for Information Retrieval
Foundations and Trends in Information Retrieval
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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Traditional image retrieval techniques search for images without considering the query context. When they are applied to applications like annotating text with images, the results might not be satisfactory because the meaning of a word/phrase varies depending on the context. In this paper, we propose an alternative method to retrieve images based not only on the query but also on the query context. We exploit the text surrounding a query in a document and the disambiguated sense of the query as the query context. We also propose a mixture model to retrieve the context dependent images. Experimental results show that significantly better retrieval performance can be achieved when query context is taken into account.