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» Video summarization with supervised learning
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CVPR
2005
IEEE
14 years 9 months ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade
MM
2010
ACM
238views Multimedia» more  MM 2010»
13 years 7 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan
ICMCS
2006
IEEE
136views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Enhanced Semi-Supervised Learning for Automatic Video Annotation
For automatic semantic annotation of large-scale video database, the insufficiency of labeled training samples is a major obstacle. General semi-supervised learning algorithms can...
Meng Wang, Xian-Sheng Hua, Li-Rong Dai, Yan Song
ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Video Annotation by Active Learning and Semi-Supervised Ensembling
Yan Song, Guo-Jun Qi, Xian-Sheng Hua, Li-Rong Dai,...
CVPR
2009
IEEE
15 years 23 days ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden