Cross-language information access to multilingual collections on the internet
Journal of the American Society for Information Science - digital libraries: Part 1
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic multimedia retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Backward machine transliteration by learning phonetic similarity
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Learning formulation and transformation rules for multilingual named entities
MultiNER '03 Proceedings of the ACL 2003 workshop on Multilingual and mixed-language named entity recognition - Volume 15
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
A corpus-based relevance feedback approach to cross-language image retrieval
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
FIRE in ImageCLEF 2005: combining content-based image retrieval with textual information retrieval
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Integrating textual and visual information for cross-language image retrieval
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
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This paper explores the uses of visual features for cross-language access to an image collection. An approach which transforms textual queries into visual representations is proposed. The relationships between text and images are mined. We employ the mined relationships to construct visual queries from textual ones. The retrieval results using textual and visual queries are combined to generate the final ranked list. We conducted English monolingual and Chinese-English cross-language retrieval experiments. The performances are quite good. The average precision of English monolingual textual run is 0.6304. The performance of cross-lingual retrieval is about 70% of monolingual retrieval. Comparatively, the gain of the generated visual query is not significant. If only appropriate query terms are selected to generate visual query, retrieval performance could be increased.