@inproceedings{8571e7083bc94280ba5283e22ca3b27e,
title = "A multimodal multimedia retrieval model based on pLSA",
abstract = "In this paper, we propose a multimodal multimedia retrieval model based on probabilistic Latent Semantic analysis (pLSA) to achieve multimodal retrieval. Firstly, We employ pLSA, to respectively simulate the generative processes of texts and images in the same documents. Then we employ the multivariate linear regression method to analyze the correlation between representations of texts and images and use the ordinary least squares (OLS) method to obtain the estimation of the regression matrix that can be used to transform between textual and visual modal data. Extensive experiments results demonstrate the effectiveness and efficiency of the proposed model.",
keywords = "Multimodal, Retrieval, pLSA",
author = "Yu Zhang and Ye Yuan and Guoren Wang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 11th Web Information System and Application Conference, WISA 2014 ; Conference date: 12-09-2014 Through 14-09-2014",
year = "2014",
month = mar,
day = "10",
doi = "10.1109/WISA.2014.14",
language = "English",
series = "Proceedings - 11th Web Information System and Application Conference, WISA 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "33--36",
booktitle = "Proceedings - 11th Web Information System and Application Conference, WISA 2014",
address = "United States",
}