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INTERSPEECH
2010
13 years 2 months ago
Semi-supervised extractive speech summarization via co-training algorithm
Supervised methods for extractive speech summarization require a large training set. Summary annotation is often expensive and time consuming. In this paper, we exploit semisuperv...
Shasha Xie, Hui Lin, Yang Liu
WACV
2007
IEEE
14 years 2 months ago
Extraction of Person Silhouettes from Surveillance Imagery using MRFs
We present a method for the simultaneous detection and segmentation of objects from static images. We employ lowlevel contour features that enable us to learn the coarse object sh...
Vinay Sharma, James W. Davis
PAA
2006
13 years 7 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong
ISVC
2007
Springer
14 years 2 months ago
Direct Extraction of Normal Mapped Meshes from Volume Data
Abstract. We describe a method of directly extracting a simplified contour surface along with detailed normal maps from volume data in one fast and integrated process. A robust du...
Mark Barry, Zoë J. Wood
MVA
1990
133views Computer Vision» more  MVA 1990»
13 years 9 months ago
An Application of Optical Flow - Extraction of Facial Expression -
This report discusses a method that uses optical flow to estimate facial muscle movements which could then be recognized these movements as facial expressions. The. human face has...
Kenji Mase