This paper describes the empirical studies of cross-language and cross-media retrieval for the ImageCLEF competition in 2005. It reports the empirical summary of the work of CUHK (The Chinese University of Hong Kong) at ImageCLEF 2005. This is the flrst participation of our group at ImageCLEF. The task we participated this year is the \Bilingual ad hoc retrieval" task. There are three major focuses and contributions in our participation. The flrst is the empirical evaluations of language models and the smoothing strategies for cross-language image retrieval. The second is the evaluations of cross-media image retrieval, i.e., combining text and visual content for image retrieval. The last one is the evaluation of the bilingual image retrieval between English and Chinese. We provide empirical analysis on the experimental results. From the o‐cial testing results of the Bilingual ad hoc retrieval task, we achieve the highest MAP result (0.4135) in the monolingual query among all organizations.
['Steven C. H. Hoi', 'Jianke Zhu', 'Michael R. Lyu']
CUHK Experiments with ImageCLEF 2005