Content-based retrieval of video surveillance scenes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4105 LNCS, Issue , 2006, Pages 785-792

  Meessen, Jérôme ^a   Coulanges, Matthieu ^a   Desurmont, Xavier ^a   Delaigle, Jean François ^a  

^a Multitel   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; ERROR COMPENSATION; FEATURE EXTRACTION; IMAGE SEGMENTATION; ROBUSTNESS (CONTROL SYSTEMS); SIGNAL FILTERING AND PREDICTION;

SEGMENTATION ERRORS; SURVEILLANCE SEQUENCES; VIDEO DATA; VIDEO SURVEILLANCE;

IMAGE CODING;

EID: 33751004707     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11848035_103     Document Type: Conference Paper

References (9)

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2. Kim, C., Hwang J.-N.: Object-Based Video Abstraction for Video Surveillance Systems. IEEE Trans. on Circuits and Systems for Video Technology, Vol. 12, No. 12, pp. 1128-1138, December 2002.
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8. EC funded CAVIAR project - IST 2001 37540. http://homepages.inf.ed.ac.uk/ rbf/CAVIAR/.
9. IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, New-York, USA, June 2006.