A multiple instance learning framework for incident retrieval in transportation surveillance video databases

Proceedings - International Conference on Data Engineering

Volumn , Issue , 2007, Pages 75-84

  Chen, Xin ^a   Zhang, Chengcui ^a   Chen, Wei Bang ^a  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; CONTROL THEORY; DATA PROCESSING; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; EDUCATION; FEATURE EXTRACTION; FEEDBACK; IMAGE RETRIEVAL; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL; INFORMATION SERVICES; INFORMATION THEORY; LEARNING ALGORITHMS; LEARNING SYSTEMS; SEARCH ENGINES; SEMANTICS; TECHNOLOGY; VIDEO RECORDING;

AND MODELING; CONTENT-BASED IMAGE RETRIEVAL; DATA ENGINEERING; GENERAL FRAMEWORK; HIGH-DIMENSIONAL DATA; INTERNATIONAL CONFERENCES; MULTIMEDIA PROCESSING; MULTIPLE-INSTANCE LEARNING; ONE-CLASS SVM; PROGRESSIVE LEARNING; SEMANTIC CONTENTS; SEMANTIC GAPS; SURVEILLANCE VIDEOS; TRAFFIC INCIDENTS; USER'S RELEVANCE FEEDBACK; VIDEO RETRIEVAL;

SECURITY SYSTEMS;

EID: 48349147175     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDEW.2007.4400976     Document Type: Conference Paper

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