Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

9-2005

Abstract

In this paper, we describe our studies of cross-language and cross-media image retrieval at the ImageCLEF 2005. This is the first participation of our CUHK (The Chinese University of Hong Kong) group at ImageCLEF. The task in which we participated is the “bilingual ad hoc retrieval” task. There are three major focuses and contributions in our participation. The first is the empirical evaluation of language models and smoothing strategies for cross-language image retrieval. The second is the evaluation of cross-media image retrieval, i.e., combining text and visual contents for image retrieval. The last is the evaluation of bilingual image retrieval between English and Chinese. We provide an empirical analysis of our experimental results, in which our approach achieves the best mean average precision result in the monolingual query task in the campaign. Finally we summarize our empirical experience and address the future improvement of our work.

Keywords

Cross-Media Retrieval; Cross-Language Retrieval; Multimodal Image Retrieval; Language Models; Text Based Image Retrieval; Smoothing Strategy

Discipline

Databases and Information Systems | Information Security

Research Areas

Data Science and Engineering; Information Systems and Management

Publication

Proceedings of the 6th Workshop of the Cross-Language Evaluation Forum, Vienna, Austria, 2005 September 21-23

First Page

602

Last Page

611

Identifier

10.1007/11878773_67

Publisher

Springer

City or Country

New York

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