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Volumn 35, Issue 1, 2007, Pages 109-123

A framework for a video analysis tool for suspicious event detection

Author keywords

Event classification; Event detection; Event understanding; Semantic gap; Surveillance video; Unusual event; Video analysts

Indexed keywords

FEATURE EXTRACTION; LEARNING ALGORITHMS; OPTIMAL SYSTEMS; SEMANTICS; VIDEO SIGNAL PROCESSING;

EID: 34548599672     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-007-0117-8     Document Type: Article
Times cited : (49)

References (10)
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    • Bertino E et al (2003) A hierarchical access control model for video database systems. ACM Trans Inf Sys 21:155-191
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    • Bertino, E.1
  • 4
    • 34548257975 scopus 로고    scopus 로고
    • Computer vision workload analysis: Case study of video surveillance systems
    • doi 10.1535/itj.0902
    • Chen T et al (2005) Computer vision workload analysis: case study of video surveillance systems. Intel Technol J 9(2):doi 10.1535/itj.0902
    • (2005) Intel Technol J , vol.9 , Issue.2
    • Chen, T.1
  • 5
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    • 34548586121 scopus 로고    scopus 로고
    • Automatic image annotation and retrieval using weighted feature selection
    • in press
    • Wang L, Khan L (2007) Automatic image annotation and retrieval using weighted feature selection. Multimed Tools Appl in press
    • (2007) Multimed Tools Appl
    • Wang, L.1    Khan, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.