A Multimodal Approach to Relevance and Pertinence of Documents-Reference-Cited by-同舟云学术

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A Multimodal Approach to Relevance and Pertinence of Documents

Published:2016 Issue: Volume: Page:157-168
ISSN:0302-9743
Container-title:Trends in Applied Knowledge-Based Systems and Data Science
language:
Short-container-title:

Author:

Cristani Matteo,Tomazzoli Claudio

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-42007-3_14

Reference24 articles.

1. Ye, Q., Huang, Q., Gao, W., Zhao, D.: Fast and robust text detection in images and video frames. Image Vis. Comput. 23(6), 565–576 (2005)

2. Kahn, C.: Dynamic inline images: context-sensitive retrieval and integration of images into web documents. J. Digit. Imaging 21(3), 274–279 (2008)

3. Park, G., Baek, Y., Lee, H.-K.: Web image retrieval using majority-based ranking approach. Multimed. Tools Appl. 31(2), 195–219 (2006)

4. Liu, Y., Zhang, D., Guojun, L., Ma, W.-Y.: A survey of content-based image retrieval with high-level semantics. Pattern Recogn. 40(1), 262–282 (2007)

5. Schettini, R., Brambilla, C., Ciocca, G., Valsasna, A., De Ponti, M.: A hierarchical classification strategy for digital documents. Pattern Recogn. 35(8), 1759–1769 (2002)

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