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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 7 days ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
MM
2004
ACM
137views Multimedia» more  MM 2004»
14 years 1 months ago
Towards auto-documentary: tracking the evolution of news stories
News videos constitute an important source of information for tracking and documenting important events. In these videos, news stories are often accompanied by short video shots t...
Pinar Duygulu, Jia-Yu Pan, David A. Forsyth
SPIESR
1998
190views Database» more  SPIESR 1998»
13 years 9 months ago
NeTra-V: Toward an Object-Based Video Representation
We present here a prototype video analysis and retrieval system, called NeTra-V, that is being developed to build an object-based video representation for functionalities such as s...
Yining Deng, Debargha Mukherjee, B. S. Manjunath
TSD
1999
Springer
13 years 12 months ago
Classifying Visemes for Automatic Lipreading
Automatic lipreading is automatic speech recognition that uses only visual information. The relevant data in a video signal is isolated and features are extracted from it. From a s...
Michiel Visser, Mannes Poel, Anton Nijholt
ICPR
2000
IEEE
14 years 8 months ago
Large Vocabulary Audio-Visual Speech Recognition Using Active Shape Models
Orthogonal information present in the video signal associated with the audio helps in improving the accuracy of a speech recognition system. Audio-visual speech recognition involv...
Tanveer A. Faruquie, Abhik Majumdar, Nitendra Rajp...