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» Video Corpus Annotation Using Active Learning
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MIR
2006
ACM
141views Multimedia» more  MIR 2006»
14 years 1 months ago
Mining temporal patterns of movement for video content classification
Scalable approaches to video content classification are limited by an inability to automatically generate representations of events ode abstract temporal structure. This paper pre...
Michael Fleischman, Philip DeCamp, Deb Roy
ICPR
2002
IEEE
14 years 8 months ago
A Statistical Modeling Approach to Content Based Video Retrieval
Statistical modeling for content based retrieval is examined in the context of recent TREC Video benchmark exercise. The TREC Video exercise can be viewed as a test bed for evalua...
Milind R. Naphade, Sankar Basu, John R. Smith, Chi...
LRE
2007
101views more  LRE 2007»
13 years 7 months ago
The CHIL audiovisual corpus for lecture and meeting analysis inside smart rooms
The analysis of lectures and meetings inside smart rooms has recently attracted much interest in the literature, being the focus of international projects and technology evaluation...
Djamel Mostefa, Nicolas Moreau, Khalid Choukri, Ge...
EMNLP
2004
13 years 8 months ago
Active Learning and the Total Cost of Annotation
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
Jason Baldridge, Miles Osborne
TASLP
2010
144views more  TASLP 2010»
13 years 2 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...