Manifold Learning Based Cross-media Retrieval: A Solution to Media Object Complementary Nature-Reference-Cited by-同舟云学术

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Manifold Learning Based Cross-media Retrieval: A Solution to Media Object Complementary Nature

Published:2007-02-03 Issue:2-3 Volume:46 Page:153-164
ISSN:0922-5773
Container-title:The Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology
language:en
Short-container-title:J VLSI Sign Process Syst Sign Image Video Technol

Author:

Zhuang Yueting,Yang Yi,Wu Fei,Pan Yunhe

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Information Systems,Signal Processing

Link

http://link.springer.com/content/pdf/10.1007/s11265-006-0020-y.pdf

Reference20 articles.

1. H. J. Zhang and D. Zhong, “Schema for Visual Feature Based Image Retrieval [A],” in Proc. of Storage and Retrieval for Image and Video Database, USA, 1995. pp. 36–46.

2. J. Z. Wang, G. Wiederhold, O. Firschein, and S. X. Wei, “Content-based Image Indexing and Searching using Daubechies’ Wavelets,” Int. J. Digit. Libr., vol. 1, 1997, pp. 311–328.

3. E. Chang, K. Goh, G. Sychay, and G. Wu, “CBSA: Content-based Soft Annotation for Multimodal Image Retrieval Using Bayes Point Machine,” IEEE Trans on Circuits and Systems for Video Technology, vol. 13, no. 1, 2003. (Jan.)

4. X. He, W. Y Ma, and H. J. Zhang, “Learning an Image Manifold for Retrieval,” ACM Multimedia Conference, New York, 2004.

5. Namunu C Maddage, Changsheng Xu., Mohan S Kankanhalli, and Xi Shao, “Content-based Music Structure Analysis with Applications to Music Semantics Understanding,” ACM Multimedia Conference, New York, 2004.

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