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Cross-modal information retrieval - A case study on Chinese wikipedia
Abstract Probability models have been used in crossProbability models have been used in cross-modalmultimedia information retrieval recently by building conjunctive models bridging the text and image components. Previous studies have shown that cross-modal information retrieval systemusing the topic correlation model (TCM) outperforms state-of-the-art models in English corpus. In this paper, we will focus on the Chinese language, which is different from western languages composed by alphabets. Words and characters will be chosen as the basic structural units of Chinese, respectively. We also set up a test database, named Ch-Wikipedia, in which documents with paired image and text are extracted fromChinese website ofWikipedia.We investigate the problems of retrieving texts (ranked by semantic closeness) given an image query, and vice versa. The capabilities of the TCM model is verified by experiments across the Ch-Wikipedia dataset.periments across the Ch-Wikipedia dataset.
Abstractsub Probability models have been used in crossProbability models have been used in cross-modalmultimedia information retrieval recently by building conjunctive models bridging the text and image components. Previous studies have shown that cross-modal information retrieval systemusing the topic correlation model (TCM) outperforms state-of-the-art models in English corpus. In this paper, we will focus on the Chinese language, which is different from western languages composed by alphabets. Words and characters will be chosen as the basic structural units of Chinese, respectively. We also set up a test database, named Ch-Wikipedia, in which documents with paired image and text are extracted fromChinese website ofWikipedia.We investigate the problems of retrieving texts (ranked by semantic closeness) given an image query, and vice versa. The capabilities of the TCM model is verified by experiments across the Ch-Wikipedia dataset.periments across the Ch-Wikipedia dataset.
Bibtextype inproceedings  +
Doi 10.1007/978-3-642-35527-1_2  +
Has author Cong Y. + , Qin Z. + , Jian Yu + , Wan T. +
Has extra keyword Ch-Wikipedia + , Character-based topics + , Correlation models + , Multi-modal + , Word-based topics + , Semantics + , Websites +
Has keyword Ch-Wikipedia + , Character-based topics + , Cross-modal information retrieval + , Topic correlation model (TCM) + , Word-based topics +
Isbn 9783642355264  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 15–26  +
Published in Lecture Notes in Computer Science +
Title Cross-modal information retrieval - A case study on Chinese wikipedia +
Type conference paper  +
Volume 7713 LNAI  +
Year 2012 +
Creation dateThis property is a special property in this wiki. 7 November 2014 12:37:19  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 12:37:19  +
DateThis property is a special property in this wiki. 2012  +
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