Feature identification of events in multimedia

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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C707S793000, C707S793000, C707S793000

Reexamination Certificate

active

10922781

ABSTRACT:
A method detects events in multimedia. Features are extracted from the multimedia. The features are sampled using a sliding window to obtain samples. A context model is constructed for each sample. The context models form a time series. An affinity matrix is determined from the time series models and a commutative distance metric between each pair of context models. A second generalized eigenvector is determined for the affinity matrix, and the samples are then clustered into events according to the second generalized eigenvector.

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