Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2007-12-25
2007-12-25
Bella, Matthew C. (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C704S256100, C704S256200
Reexamination Certificate
active
10734451
ABSTRACT:
A method learns a structure of a video, in an unsupervised setting, to detect events in the video consistent with the structure. Sets of features are selected from the video. Based on the selected features, a hierarchical statistical model is updated, and an information gain of the hierarchical statistical model is evaluated. Redundant features are then filtered, and the hierarchical statistical model is updated, based on the filtered features. A Bayesian information criteria is applied to each model and feature set pair, which can then be rank ordered according to the criteria to detect the events in the video.
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Chang Shih-Fu
Divakaran Ajay
Xie Lexing
Bella Matthew C.
Brinkman Dirk
Cunningham Greg F.
Mitsubishi Electric Research Laboratories Inc.
Mueller Clifton D.
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