Automatic content recognition of teaching boards in the Tableau platform

Author

de Franca Pereira e Silva, Gabriel ; Lins, R.D.

Author_Institution

UFRPE-UAG-Brazil, Brazil

fYear

2012

fDate

11-15 Nov. 2012

Firstpage

645

Lastpage

648

Abstract

Teaching boards are omnipresent in classrooms throughout the world. Tableau is a software environment for processing images from teaching-boards acquired using portable digital cameras and cell-phones, being the first software environment able to process non-white boards. The aim of the Tableau environment goes far beyond processing and compressing teaching-board images, it also targets at content analysis and recognition. This paper presents the content analysis tool in Tableau that is able to automatically segment and classify textual and pictorial areas.

Keywords

computer aided instruction; image classification; image coding; image segmentation; interactive devices; teaching; text detection; Tableau platform; automatic content recognition; automatic segmentation; cell phones; classrooms; content analysis tool; nonwhite boards; pictorial area classification; portable digital cameras; software environment; teaching-board image compression; teaching-board image processing; textual area classification; Accuracy; Digital cameras; Education; Histograms; Image segmentation; Layout; Noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ICPR), 2012 21st International Conference on

Conference_Location

Tsukuba

ISSN

1051-4651

Print_ISBN

978-1-4673-2216-4

Type

conf

Filename

6460217