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» Dining Activity Analysis Using a Hidden Markov Model
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ICIP
2008
IEEE
15 years 11 months ago
Activity-based temporal segmentation for videos of interacting objects using invariant trajectory features
This paper presents a content-based approach for temporal segmentation of videos. Tracked objects are characterized by their 2D trajectories which are used in a meaningful way to ...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
ECAI
2010
Springer
14 years 11 months ago
Discovering an Event Taxonomy from Video using Qualitative Spatio-temporal Graphs
This work proposes a graph mining based approach to mine a taxonomy of events from activities for complex videos which are represented in terms of qualitative spatio-temporal relat...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
ICML
2005
IEEE
15 years 10 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
MTA
2006
193views more  MTA 2006»
14 years 9 months ago
Audiovisual integration for tennis broadcast structuring
This paper focuses on the integration of multimodal features for sport video structure analysis. The method relies on a statistical model which takes into account both the shot co...
Ewa Kijak, Guillaume Gravier, Lionel Oisel, Patric...
ICIP
2001
IEEE
15 years 11 months ago
Automatic multi-modal dialogue scene indexing
An automatic algorithm for indexing dialogue scenes in multimedia content is proposed. The content is segmented into dialogue scenes using the state transitions of a hidden Markov...
A. Aydin Alatan