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» Detecting Irregularities in Images and in Video
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CVPR
1998
IEEE
16 years 8 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
ICVS
2009
Springer
16 years 22 days ago
Incremental Video Event Learning
We propose a new approach for video event learning. The only hypothesis is the availability of tracked object attributes. The approach incrementally aggregates the attributes and r...
Marcos Zúñiga, François Br&ea...
ICMCS
2006
IEEE
152views Multimedia» more  ICMCS 2006»
16 years 6 days ago
A Novel Model-based Segmentation Approach to Extract Caption Contents on Sports Videos
The study proposes a novel scheme to extract and recognize the caption contents of various sports captions. A caption extraction process based on an iteratively temporal averaging...
Yih-Ming Su, Chaur-Heh Hsieh
MIR
2006
ACM
189views Multimedia» more  MIR 2006»
16 years 4 days ago
Dynamic storyboards for video content summarization
We propose an innovative, general purpose, approach to the selection and hierarchical representation of key frames of a video sequence for video summarization. In the first stage ...
Gianluigi Ciocca, Raimondo Schettini
ICDAR
2005
IEEE
15 years 11 months ago
Tracking, Analysis, and Recognition of Human Gestures in Video
An overview of research in automated gesture spotting, tracking and recognition by the Image and Video Computing Group at Boston University is given. Approaches for localization a...
Stan Sclaroff, Margrit Betke, George Kollios, Jona...