Invention Application
- Patent Title: Efficient methods for temporal event clustering of digital photographs
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Application No.: US11037378Application Date: 2005-01-18
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Publication No.: US20060173746A1Publication Date: 2006-08-03
- Inventor: Matthew Cooper , Andreas Girgensohn
- Applicant: Matthew Cooper , Andreas Girgensohn
- Applicant Address: JP Tokyo
- Assignee: Fuji Xerox Co., Ltd.
- Current Assignee: Fuji Xerox Co., Ltd.
- Current Assignee Address: JP Tokyo
- Main IPC: G06Q30/00
- IPC: G06Q30/00

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.
Public/Granted literature
- US07640218B2 Efficient methods for temporal event clustering of digital photographs Public/Granted day:2009-12-29
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