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ICIP
2002
IEEE
15 years 2 hour ago
Extract highlights from baseball game video with hidden Markov models
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...
Peng Chang, Mei Han, Yihong Gong
ICASSP
2008
IEEE
14 years 4 months ago
View invariant gesture recognition using 3D motion primitives
This paper presents a method for automatic recognition of human gestures. The method works with 3D image data from a range camera to achieve invariance to viewpoint. The recogniti...
Michael B. Holte, Thomas B. Moeslund
ECIR
2010
Springer
13 years 12 months ago
Mining Neighbors' Topicality to Better Control Authority Flow
Web pages are often recognized by others through contexts. These contexts determine how linked pages influence and interact with each other. When differentiating such interactions,...
Na Dai, Brian D. Davison, Yaoshuang Wang
TMM
2002
104views more  TMM 2002»
13 years 10 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
TCSV
2002
134views more  TCSV 2002»
13 years 10 months ago
Factor graph framework for semantic video indexing
Video query by semantic keywords is one of the most challenging research issues in video data management. To go beyond low-level similarity and access video data content by semanti...
Milind R. Naphade, Igor Kozintsev, Thomas S. Huang