DocumentCode :
3195733
Title :
A Low Resource Consumption Image Region Extraction Algorithm for Mobile Devices
Author :
Guo, Jinhong K. ; Ma, Matthew Y.
fYear :
2007
fDate :
2-5 July 2007
Firstpage :
336
Lastpage :
339
Abstract :
Although the camera phone market has experienced exponential growth in recent years, the applications of built-in camera on the mobile phone still have not progressed as anticipated. One of the main reasons is the low resource on the mobile phone that hinder the deployment of many time consuming image processing tasks. In this paper, a fundamental image processing problem namely image segmentation has been revisited for adapting to a low resource computing device, and a novel image region extraction scheme is proposed. The region extraction algorithm takes into account the constraints exhibited in the mobile phone captured images and the low computing resource made available for applications, and can achieve reasonable result in both performance and speed in our experiments.
Keywords :
cameras; feature extraction; image segmentation; mobile handsets; built-in camera mobile phone; image processing; image region extraction algorithm; image segmentation; low resource computing device; Cameras; Data mining; Face detection; Image processing; Image segmentation; Layout; Lenses; Mobile handsets; Optical character recognition software; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2007 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-1016-9
Electronic_ISBN :
1-4244-1017-7
Type :
conf
DOI :
10.1109/ICME.2007.4284655
Filename :
4284655
Link To Document :
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