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|Month=April | |Month=April | ||
|Booktitle=Advances in Information Retrieval: 37th European Conference on IR Research (ECIR), Vienna, Austria. | |Booktitle=Advances in Information Retrieval: 37th European Conference on IR Research (ECIR), Vienna, Austria. | ||
+ | |Pages=http://people.aifb.kit.edu/amo/ecir2015/ | ||
|Publisher=Springer International Publishing | |Publisher=Springer International Publishing | ||
|Address=Cham, Germany | |Address=Cham, Germany |
Aktuelle Version vom 31. Mai 2016, 12:29 Uhr
Published: 2015
April
Herausgeber: Hanbury, Allan and Kazai, Gabriella and Rauber, Andreas and Fuhr, Norbert
Buchtitel: Advances in Information Retrieval: 37th European Conference on IR Research (ECIR), Vienna, Austria.
Seiten: http://people.aifb.kit.edu/amo/ecir2015/
Verlag: Springer International Publishing
Erscheinungsort: Cham, Germany
Referierte Veröffentlichung
BibTeX
Kurzfassung
We present a novel cross-modal retrieval approach where the textual modality is present in different languages. We retrieve semantically similar documents across modalities in different languages using a correlated centroid space unsupervised retrieval (C2SUR) approach. C2SUR consists of two phases. In the first phase, we extract heterogeneous features from a multi-modal document and project it to a correlated space using kernel canonical correlation analysis (KCCA). In the second phase, correlated space centroids are obtained using clustering to retrieve cross-modal documents with different similarity measures. Experimental results show that C2SUR outperforms the existing state-of-the-art English cross-modal retrieval approaches and achieve similar results for other languages.
Weitere Informationen unter: Link
DOI Link: 10.1007/978-3-319-16354-3_9
Web Science und Wissensmanagement
Maschinelles Lernen, Multimedia Annotation & Retrieval