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Fudan University: hierarchical video retrieval with adaptive multi-modal fusion

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Conference On Image And Video Retrieval archive
Proceedings of the 2008 international conference on Content-based image and video retrieval table of contents

Niagara Falls, Canada

SESSION: Video retrieval showcase table of contents

Pages 549-550

Year of Publication: 2008

ISBN:978-1-60558-070-8

Authors

Zichen Sun	Fudan University, Shanghai, China
Yuanzheng Song	Fudan University, Shanghai, China
Yingbin Zheng	Fudan University, Shanghai, China
Hui Yu	Fudan University, Shanghai, China
Cheng Jin	Fudan University, Shanghai, China
Hong Lu	Fudan University, Shanghai, China
Xiangyang Xue	Fudan University, Shanghai, China

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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ABSTRACT

This paper describes Fudan University's interactive video retrieval system. The system uses an adaptive multi-modal fusion method and enables the user to browse the results hierarchically across different levels of temporal granularity.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	TRECVID: TREC video retrieval evaluation workshop. http://www-nlpir.nist.gov/projects/trecvid/.
	2	X. Xue. et al. Fudan university at TRECVID 2007. NIST TRECVID Workshop. Gaithersburg, Nov 2007.
	3	A. Yanagawa. et al. Columbia university's baseline detectors for 374 LSCOM semantic visual concepts. Columbia University ADVENT Technical Report #222-2006-8.
	4	M. Worring. et al. Mediamill: Advanced browsing in news video archives. International Conference on Image and Video Retrieval (CIVR). Tempe, AZ, USA, Jul 2006.