Utility based decision support engine for camera view selection in multimedia surveillance systems

2012 ◽  
Vol 73 (1) ◽  
pp. 219-240 ◽  
Author(s):  
Dewan Tanvir Ahmed ◽  
M. Anwar Hossain ◽  
Shervin Shirmohammadi ◽  
Abdullah AlGhamdi ◽  
Pradeep K. Atrey ◽  
...  
Keyword(s):  
Decision Support ◽  
Surveillance Systems ◽  
View Selection ◽  
Camera View ◽  
Multimedia Surveillance

Materialized View Selection in the Data Warehouse

2010 ◽  
Vol 29-32 ◽  
pp. 1133-1138 ◽  
Author(s):  
Li Juan Zhou ◽  
Hai Jun Geng ◽  
Ming Sheng Xu
Keyword(s):  
Decision Support ◽  
Data Warehouse ◽  
Materialized Views ◽  
Storage Space ◽  
View Selection ◽  
Materialized View ◽  
Query Response Time ◽  
Materialized View Selection ◽  
Optimal Efficiency ◽  
The Cost

A data warehouse stores materialized views of data from one or more sources, with the purpose of efficiently implementing decision-support or OLAP queries. Materialized view selection is one of the crucial decisions in designing a data warehouse for optimal efficiency. The goal is to select an appropriate set of views that minimizes sum of the query response time and the cost of maintaining the selected views, given a limited amount of resource, e.g., materialization time, storage space, etc. In this article, we present an improved PGA algorithm to accomplish the view selection problem; the experiments show that our proposed algorithm shows it’s superior.

A Longitudinal Quasi-Experimental Study of Violence and Disorder Impacts of Urban CCTV Camera Clusters

2018 ◽  
Vol 44 (2) ◽  
pp. 148-164 ◽  
Author(s):  
Jerry H. Ratcliffe ◽  
Elizabeth R. Groff
Keyword(s):  
Control Area ◽  
Surveillance Systems ◽  
Camera View ◽  
Lack Of Control ◽  
Quasi Experimental ◽  
Current Article ◽  
Cctv Surveillance ◽  
Time Varying Covariates ◽  
Cctv Camera ◽  
Reduction Effectiveness

Methodological challenges have hampered a number of previous studies into the crime reduction effectiveness of closed-circuit television (CCTV) surveillance systems. These have included the use of arbitrary fixed distances to represent estimated camera deterrence areas and a lack of control for camera sites with overlapping surveillance areas. The current article overcomes the first of these challenges by using camera view areas individually constructed by researchers viewing and manipulating cameras to determine precise camera viewsheds. The second challenge is addressed by grouping cameras into clusters of combined viewshed areas. The longitudinal crime and disorder reduction effectiveness of these clusters of overlapping CCTV cameras is tested in Philadelphia, PA. Multilevel mixed-effects models with time-varying covariates and measures from a noncomparable control area are applied to 10 years of crime data (2003–2012) within the viewsheds of 86 CCTV cameras grouped into 13 clusters. Models applied across violent street felonies and disorder incidents find no significant impact associated with the introduction of CCTV surveillance. Potential reasons for this are discussed.

Special issue on multimedia Surveillance systems: guest editorial

2006 ◽  
Vol 12 (3) ◽  
pp. 165-167 ◽  
Author(s):  
J. K. Aggarwal ◽  
Rita Cucchiara
Keyword(s):  
Guest Editorial ◽  
Surveillance Systems ◽  
Special Issue ◽  
Multimedia Surveillance

scholarly journals Information assimilation framework for event detection in multimedia surveillance systems

2006 ◽  
Vol 12 (3) ◽  
pp. 239-253 ◽  
Author(s):  
Pradeep Kumar Atrey ◽  
Mohan S. Kankanhalli ◽  
Ramesh Jain
Keyword(s):  
Event Detection ◽  
Surveillance Systems ◽  
Information Assimilation ◽  
Multimedia Surveillance

Distributed architectures and logical-task decomposition in multimedia surveillance systems

2001 ◽  
Vol 89 (10) ◽  
pp. 1419-1440 ◽  
Author(s):  
L. Marcenaro ◽  
F. Oberti ◽  
G.L. Foresti ◽  
C.S. Regazzoni
Keyword(s):  
Surveillance Systems ◽  
Distributed Architectures ◽  
Task Decomposition ◽  
Multimedia Surveillance

scholarly journals Laboratory-Guided Detection of Disease Outbreaks: Three Generations of Surveillance Systems

2009 ◽  
Vol 133 (6) ◽  
pp. 916-925 ◽  
Author(s):  
Vitali Sintchenko ◽  
Blanca Gallego
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Decision Support ◽  
Disease Surveillance ◽  
Disease Outbreaks ◽  
Health Indicators ◽  
Surveillance Systems ◽  
Public Health Monitoring ◽  
Search Terms ◽  
Publication Language

Abstract Context.—Traditional biothreat surveillance systems are vulnerable to incomplete and delayed reporting of public health threats. Objective.—To review current and emerging approaches to detection and monitoring of biothreats enabled by laboratory methods of diagnosis and to identify trends in the biosurveillance research. Data Sources.—PubMed (1995 to December 2007) was searched with the combined search terms “surveillance” and “infectious diseases.” Additional articles were identified by hand searching the bibliographies of selected papers. Additional search terms were “public health,” “disease monitoring,” “cluster,” “outbreak,” “laboratory notification,” “molecular,” “detection,” “evaluation,” “genomics,” “communicable diseases,” “geographic information systems,” “bioterrorism,” “genotyping,” and “informatics.” Publication language was restricted to English. The bibliographies of key references were later hand searched to identify articles missing in the database search. Three approaches to infectious disease surveillance that involve clinical laboratories are contrasted: (1) laboratory-initiated infectious disease notifications, (2) syndromic surveillance based on health indicators, and (3) genotyping based surveillance of biothreats. Advances in molecular diagnostics enable rapid genotyping of biothreats and investigations of genes that were not previously identifiable by traditional methods. There is a need for coordination between syndromic and laboratory-based surveillance. Insufficient and delayed decision support and inadequate integration of surveillance signals into action plans remain the 2 main barriers to efficient public health monitoring and response. Decision support for public health users of biosurveillance alerts is often lacking. Conclusions.—The merger of the 3 scientific fields of surveillance, genomics, and informatics offers an opportunity for the development of effective and rapid biosurveillance methods and tools.

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