Efficient methods for temporal event clustering of digital...

Details Efficient methods for temporal event clustering of digital... Efficient methods for temporal event clustering of digital...

2005-01-18

2009-12-29

Starks, Jr., Wilbert L (Department: 2129)

Data processing: artificial intelligence

Neural network

Learning task

C706S046000

Reexamination Certificate

active

07640218

ABSTRACT:
Techniques for reducing the computational complexity of conventional similarity-based approaches for temporal event clustering of digital photograph collections include one or more approaches to select boundaries based on dynamic programming and the Bayes information criterion. Each method performs competitively with conventional approaches and offer significant computational savings.

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