Video mining using unsupervised clustering of video content

Details Video mining using unsupervised clustering of video content Video mining using unsupervised clustering of video content

2008-05-20

2008-05-20

Sajous, Wesner (Department: 2628)

Computer graphics processing and selective visual display system

Computer graphics processing

Attributes

C348S422100, C348S474000, C348S512000, C382S190000

Reexamination Certificate

active

07375731

ABSTRACT:
A method mines unknown content of a video by first selecting one or more low-level features of the video. For each selected feature, or combination of features, time series data is generated. The time series data is then self-correlated to identify similar segments of the video according to the low-level features. The similar segments are grouped into clusters to discover high-level patterns in the unknown content of video.

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