Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

9-2007

Abstract

This paper summarizes our empirical study of cross-language and cross-media image retrieval at the CLEF image retrieval track (ImageCLEF2007). In this year, we participated in the ImageCLEF photo retrieval task, in which the goal of the retrieval task is to search natural photos by some query with both textual and visual information. In this paper, we study the empirical evaluations of our solutions for the image retrieval tasks in three aspects. First of all, we study the application of language models and smoothing strategies for text-based image retrieval, particularly addressing the short text query issue. Secondly, we study the cross-media image retrieval problem using some simple combination strategy. Lastly, we study the cross-language image retrieval problem between English and Chinese. Finally, we summarize our empirical experiences and indicate some future directions.

Keywords

Language Model, Image Retrieval, Retrieval Model, Retrieval Task, Dirichlet Prior

Discipline

Computer Sciences | Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Advances in Multilingual and Multimodal Information Retrieval: 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21

Volume

5152

First Page

538

Last Page

545

ISBN

9783540857600

Identifier

9783540857600

Publisher

Springer

City or Country

Berlin

Copyright Owner and License

Author

Additional URL

https://doi.org/10.1007/978-3-540-85760-0_67

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