A Method of TV Screen Shape Detection Based on Threshold Segmentation

Author

Huimin Jiao ; Haiming Lu

Author_Institution

Res. Inst. of Inf. Technol., Tsinghua Univ., Beijing, China

Volume

2

fYear

2013

fDate

28-29 Oct. 2013

Firstpage

116

Lastpage

120

Abstract

Detecting the boundary of television screen is the basis of content identification for human-computer interaction. Uncertainty exists in TV video image which is captured by mobile phone because of the resolution, color, brightness, background. The reduction of image quality leads to inaccurate identification. We propose a method based on the feature of TV´s shape to segment the TV screen indirectly. Our approach aims at extracting the typical feature between the background and objective image. The experimental results demonstrate the effectiveness of the proposed approach for TV screen shape.

Keywords

human computer interaction; image colour analysis; image resolution; image segmentation; object detection; video signal processing; HCI; TV screen shape detection; background image; content identification; human-computer interaction; image background; image brightness; image color; image quality; image resolution; mobile phone; objective image; television video image; threshold segmentation; Brightness; Feature extraction; Image segmentation; Joints; Mobile handsets; Shape; TV; TV screen detection; image segmentation; thresholding;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on

Conference_Location

Hangzhou

Type

conf

DOI

10.1109/ISCID.2013.143

Filename

6804842