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ICPR
2000
IEEE

Blackboard Segmentation Using Video Image of Lecture and Its Applications

8 years 10 months ago
Blackboard Segmentation Using Video Image of Lecture and Its Applications
We propose a method for segmentation of written regions on a blackboard in the lecture room using a video image. We firstly detect static edges of which locations on the image are stationary. And next, we extract several rectangular regions in which these static edges are located densely. Finally by use of fuzzy rules, extracted rectangles are merged as contextual regions, where letters and figures in each contextual region explain each context. And, we apply our method to automatic production of lecture video, and archives system of written regions on the blackboard in lecture rooms.
Masaki Onishi, Masao Izumi, Kunio Fukunaga
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Masaki Onishi, Masao Izumi, Kunio Fukunaga
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