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» Bayesian Order-Adaptive Clustering for Video Segmentation
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EMMCVPR
2007
Springer
13 years 11 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
ICPR
2006
IEEE
13 years 10 months ago
Audio Segmentation and Speaker Localization in Meeting Videos
Segmenting different individuals in a group meeting and their speech is an important first step for various tasks such as meeting transcription, automatic camera panning, multime...
Himanshu Vajaria, Tanmoy Islam, Sudeep Sarkar, Rav...
ICIP
2002
IEEE
14 years 6 months ago
Probabilistic home video structuring: feature selection and performance evaluation
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
Daniel Gatica-Perez, Alexander C. Loui, Ming-Ting ...
ICIP
2003
IEEE
14 years 6 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...