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» Face Detection and Recognition using Hidden Markov Models
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ICASSP
2008
IEEE
14 years 1 months ago
Audiovisual-to-articulatory speech inversion using Active Appearance Models for the face and Hidden Markov Models for the dynami
We are interested in recovering aspects of vocal tract’s geometry and dynamics from auditory and visual speech cues. We approach the problem in a statistical framework based on ...
Athanassios Katsamanis, George Papandreou, Petros ...
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
13 years 11 months ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
MM
2005
ACM
140views Multimedia» more  MM 2005»
14 years 29 days ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
FGR
2000
IEEE
167views Biometrics» more  FGR 2000»
13 years 11 months ago
Comparison of Confidence Measures for Face Recognition
This paper compares different confidence measures for the results of statistical face recognition systems. The main applications of a confidence measure are rejection of unknown p...
Stefan Eickeler, Mirco Jabs, Gerhard Rigoll
IJCAI
2007
13 years 8 months ago
Dynamically Weighted Hidden Markov Model for Spam Deobfuscation
Spam deobfuscation is a processing to detect obfuscated words appeared in spam emails and to convert them back to the original words for correct recognition. Lexicon tree hidden M...
Seunghak Lee, Iryoung Jeong, Seungjin Choi