Title :
Approach of extracting scene frames from E-comic based on a multiple Gabor filters for adapting to mobile devices
Author :
Li Xuejun ; Wang Minghui
Author_Institution :
Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
Abstract :
The number of the mobile devices has a great growth over the last decades. The development of mobile devices has brought a significant increase of users who view comic online by mobile devices. A key challenge for viewing comic online by mobile devices is offering suitable sized contents of comic to mobile devices. This leads to the development of E-comic scene frame extraction approaches. In this scenario, this paper proposed a multiple Gabor filters based on automatic E-comic scene frame extraction approach to solve this issue. The results show that the proposed approach works efficiently in the existing E-comic segmentation system, which outperforms the existing state-of-the-art approaches.
Keywords :
Gabor filters; feature extraction; humanities; E-comic segmentation system; automatic E-comic scene frame extraction approach; mobile devices; multiple Gabor filters; Band-pass filters; Feature extraction; Gabor filters; Image segmentation; Information filters; Mobile handsets; comic scene frame; multiple Gabor filters; segmentation;
Conference_Titel :
Network Infrastructure and Digital Content (IC-NIDC), 2014 4th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4736-2
DOI :
10.1109/ICNIDC.2014.7000268