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» Unsupervised Learning of Event Classes from Video
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CVPR
2008
IEEE
15 years 11 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
EJIVP
2010
107views more  EJIVP 2010»
14 years 4 months ago
Unsupervised Action Classification Using Space-Time Link Analysis
Abstract--In this paper we address the problem of unsupervised discovery of action classes in video data. Different from all existing methods thus far proposed for this task, we pr...
Haowei Liu, Rogerio Feris, Volker Krüger, Min...
CVPR
2009
IEEE
16 years 3 months 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
ICIP
2003
IEEE
15 years 11 months ago
Adaptive rule-based recognition of events in video sequences
Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
AI
2007
Springer
14 years 9 months ago
Learning, detection and representation of multi-agent events in videos
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
Asaad Hakeem, Mubarak Shah