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Conference Paper: Object-based surveillance video retrieval system with real-time indexing methodology

TitleObject-based surveillance video retrieval system with real-time indexing methodology
Authors
KeywordsDatabase systems
Indexing (of information)
Real time systems
Object-based retrieval system
Text-based matching
Issue Date2007
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 4th International Conference on Image Analysis and Recognition (ICIAR 2007), Montreal, Canada, 22-24 August 2007. In Lecture Notes in Computer Science, 2007, v. 4633, p. 626-637 How to Cite?
AbstractThis paper presents a novel surveillance video indexing and retrieval system based on object features similarity measurement. The system firstly extracts moving objects from the videos by an efficient motion segmentation method. The fundamental features of each moving object are then extracted and indexed into the database. During retrieval, the system matches the query with the features indexed in the database without re-processing the videos. Video clips which contain the objects with sufficiently high relevance scores are then returned. The novelty of the system includes: 1. A real-time automatic indexing methodology achieved by a fast motion segmentation, such that the system is able to perform on-the-fly indexing on video sources; and 2. an object-based retrieval system with fundamental features matching approach, which allows user to specify the query by providing an example image or even a sketch of the desired objects. Such an approach can search the desired video clips in a more convenient and unambiguous way comparing with traditional text-based matching. © Springer-Verlag Berlin Heidelberg 2007.
DescriptionLNCS v. 4633 is conference proceedings of ICIAR 2007
Persistent Identifierhttp://hdl.handle.net/10722/93359
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorYuk, JSCen_HK
dc.contributor.authorWong, KYKen_HK
dc.contributor.authorChung, RHYen_HK
dc.contributor.authorChow, KPen_HK
dc.contributor.authorChin, FYLen_HK
dc.contributor.authorTsang, KSHen_HK
dc.date.accessioned2010-09-25T14:58:42Z-
dc.date.available2010-09-25T14:58:42Z-
dc.date.issued2007en_HK
dc.identifier.citationThe 4th International Conference on Image Analysis and Recognition (ICIAR 2007), Montreal, Canada, 22-24 August 2007. In Lecture Notes in Computer Science, 2007, v. 4633, p. 626-637en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/93359-
dc.descriptionLNCS v. 4633 is conference proceedings of ICIAR 2007-
dc.description.abstractThis paper presents a novel surveillance video indexing and retrieval system based on object features similarity measurement. The system firstly extracts moving objects from the videos by an efficient motion segmentation method. The fundamental features of each moving object are then extracted and indexed into the database. During retrieval, the system matches the query with the features indexed in the database without re-processing the videos. Video clips which contain the objects with sufficiently high relevance scores are then returned. The novelty of the system includes: 1. A real-time automatic indexing methodology achieved by a fast motion segmentation, such that the system is able to perform on-the-fly indexing on video sources; and 2. an object-based retrieval system with fundamental features matching approach, which allows user to specify the query by providing an example image or even a sketch of the desired objects. Such an approach can search the desired video clips in a more convenient and unambiguous way comparing with traditional text-based matching. © Springer-Verlag Berlin Heidelberg 2007.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Scienceen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectDatabase systems-
dc.subjectIndexing (of information)-
dc.subjectReal time systems-
dc.subjectObject-based retrieval system-
dc.subjectText-based matching-
dc.titleObject-based surveillance video retrieval system with real-time indexing methodologyen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0302-9743&volume=4633&spage=626&epage=637&date=2007&atitle=Object-based+surveillance+video+retrieval+system+with+real-time+indexing+methodology-
dc.identifier.emailWong, KYK:kykwong@cs.hku.hken_HK
dc.identifier.emailChung, RHY:hychung@cs.hku.hken_HK
dc.identifier.emailChow, KP:chow@cs.hku.hken_HK
dc.identifier.emailChin, FYL:chin@cs.hku.hken_HK
dc.identifier.authorityWong, KYK=rp01393en_HK
dc.identifier.authorityChung, RHY=rp00219en_HK
dc.identifier.authorityChow, KP=rp00111en_HK
dc.identifier.authorityChin, FYL=rp00105en_HK
dc.description.naturepostprint-
dc.identifier.scopuseid_2-s2.0-37849011405en_HK
dc.identifier.hkuros143885en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-37849011405&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume4633 LNCSen_HK
dc.identifier.spage626en_HK
dc.identifier.epage637en_HK
dc.publisher.placeGermanyen_HK
dc.description.otherThe 4th International Conference on Image Analysis and Recognition (ICIAR 2007), Montreal, Canada, 22-24 August 2007. In Lecture Notes in Computer Science, 2007, v. 4633, p. 626-637-
dc.identifier.scopusauthoridYuk, JSC=18042591200en_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK
dc.identifier.scopusauthoridChung, RHY=14059962600en_HK
dc.identifier.scopusauthoridChow, KP=7202180751en_HK
dc.identifier.scopusauthoridChin, FYL=7005101915en_HK
dc.identifier.scopusauthoridTsang, KSH=23135900600en_HK

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