DocumentCode :
2121810
Title :
Fast important area detection for adapting dynamic changes of photo album layout
Author :
Dahee Kim ; Woongil Choi ; Kwang Pyo Choi
Author_Institution :
Digital Media & Commun. R&D Center, Samsung Electron., Suwon, South Korea
fYear :
2015
fDate :
9-12 Jan. 2015
Firstpage :
347
Lastpage :
348
Abstract :
In this paper, we present a fast important area detection algorithm which is applicable to the photo album on mobile devices. Conventional algorithms have tried to detect the salient area itself without consideration of photo album layouts. In addition, since most mobile devices support the portrait view and the landscape view, the important area should be adaptive to the view direction immediately. To solve these problems, we propose the fast algorithm which alleviates the computational complexity of the ROI detection on mobile devices.
Keywords :
computational complexity; image processing; mobile computing; ROI detection; adapting dynamic changes; computational complexity; conventional algorithms; fast important area detection; fast important area detection algorithm; mobile devices; photo album layout; Detection algorithms; Entropy; Face; Heuristic algorithms; Histograms; Layout; Mobile handsets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-7542-6
Type :
conf
DOI :
10.1109/ICCE.2015.7066439
Filename :
7066439
Link To Document :
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