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» Graph-Theoretical Methods in Computer Vision
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ICPR
2002
IEEE
15 years 11 months ago
Hierarchical Interpretation of Human Activities Using Competitive Learning
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
Harry Wechsler, Zoran Duric, Fayin Li
262
Voted
ACCV
2009
Springer
15 years 11 months ago
Video Segmentation Using Iterated Graph Cuts Based on Spatio-temporal Volumes
Abstract. We present a novel approach to segmenting video using iterated graph cuts based on spatio-temporal volumes. We use the mean shift clustering algorithm to build the spatio...
Tomoyuki Nagahashi, Hironobu Fujiyoshi, Takeo Kana...
ICPR
2000
IEEE
15 years 11 months ago
Video Cut Detection using Frequency Domain Correlation
A common video indexing technique is to segment a video sequence into shots and then select representative key-frames. The process of shot break detection is a fundamental compone...
Sarah V. Porter, Majid Mirmehdi, Barry T. Thomas
GRAPHICSINTERFACE
2000
15 years 8 months ago
Anisotropic Feature-Preserving Denoising of Height Fields and Bivariate Data
In this paper, we present an efficient way to denoise bivariate data like height fields, color pictures or vector fields, while preserving edges and other features. Mixing surface...
Mathieu Desbrun, Mark Meyer, Peter Schröder, ...
CVPR
2005
IEEE
16 years 8 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas