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CVPR
2009
IEEE
15 years 2 months ago
Dense saliency-based spatiotemporal feature points for action recognition
Several spatiotemporal feature point detectors have been recently used in video analysis for action recognition. Feature points are detected using a number of measures, namely sali...
Konstantinos Rapantzikos, Stefanos D. Kollias, Yan...
CVPR
2012
IEEE
12 years 29 days ago
Stream-based Joint Exploration-Exploitation Active Learning
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
13 years 11 months ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter
MM
2003
ACM
145views Multimedia» more  MM 2003»
14 years 29 days ago
Proscenium: a framework for spatio-temporal video editing
We present an approach to video editing where movie sequences are treated as spatio-temporal volumes that can be sheered and warped under user control. This simple capability enab...
Eric P. Bennett, Leonard McMillan
CHI
1997
ACM
13 years 12 months ago
MOBI-D: A Model-Based Development Environment for User-Centered Design
MOBI-D (Model-Based Interface Designer) is a software environment the design and development of user interfaces from declarative interface models. End-users informally describe ta...
Angel R. Puerta, David Maulsby