Incremental multimodal query construction for video search

Xu, S; Li, H; Chang, X; Yu, SI; Du, X; Li, X; Jiang, L; Mao, Z; Lan, Z; Burger, S; Hauptmann, A

Incremental multimodal query construction for video search

Xu, S Li, H Chang, X

Yu, SI Du, X Li, X Jiang, L Mao, Z Lan, Z Burger, S Hauptmann, A

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Publisher:: ASSOC COMPUTING MACHINERY
Publication Type:: Conference Proceeding
Citation:: ICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval, 2015, pp. 675-678
Issue Date:: 2015-06-22

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Field	Value	Language
dc.contributor.author	Xu, S
dc.contributor.author	Li, H
dc.contributor.author	Chang, X https://orcid.org/0000-0002-7778-8807
dc.contributor.author	Yu, SI
dc.contributor.author	Du, X
dc.contributor.author	Li, X
dc.contributor.author	Jiang, L
dc.contributor.author	Mao, Z
dc.contributor.author	Lan, Z
dc.contributor.author	Burger, S
dc.contributor.author	Hauptmann, A
dc.date	2015-06-23
dc.date.accessioned	2023-03-31T11:04:31Z
dc.date.available	2023-03-31T11:04:31Z
dc.date.issued	2015-06-22
dc.identifier.citation	ICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval, 2015, pp. 675-678
dc.identifier.isbn	9781450332743
dc.identifier.uri	http://hdl.handle.net/10453/169016
dc.description.abstract	Recent improvements in content-based video search have led to systems with promising accuracy, thus opening up the possibility for interactive content-based video search to the general public. We present an interactive system based on a state-of-the-art content-based video search pipeline which enables users to do multimodal text-to-video and video-tovideo search in large video collections, and to incrementally refine queries through relevance feedback and model visualization. Also, the comprehensive functionalities enhance a flexible formulation of multimodal queries with different characteristics. Quantitative and qualitative analysis shows that our system is capable of assisting users to incrementally build effective queries over complex event topics.
dc.language	en
dc.publisher	ASSOC COMPUTING MACHINERY
dc.relation.ispartof	ICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval
dc.relation.ispartof	5th ACM International Conference on Multimedia Retrieval (ICMR)
dc.relation.isbasedon	10.1145/2671188.2749413
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Incremental multimodal query construction for video search
dc.type	Conference Proceeding
utslib.location.activity	Shanghai, PEOPLES R CHINA
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-31T11:04:29Z
pubs.finish-date	2015-06-26
pubs.publication-status	Published
pubs.start-date	2015-06-23

Abstract:

Recent improvements in content-based video search have led to systems with promising accuracy, thus opening up the possibility for interactive content-based video search to the general public. We present an interactive system based on a state-of-the-art content-based video search pipeline which enables users to do multimodal text-to-video and video-tovideo search in large video collections, and to incrementally refine queries through relevance feedback and model visualization. Also, the comprehensive functionalities enhance a flexible formulation of multimodal queries with different characteristics. Quantitative and qualitative analysis shows that our system is capable of assisting users to incrementally build effective queries over complex event topics.

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http://hdl.handle.net/10453/169016