DocumentCode :
598149
Title :
Content-aware image resizing with seam selection based on Gradient Vector Flow
Author :
Battiato, Sebastiano ; Farinella, Giovanni Maria ; Puglisi, Giovanni ; Ravi, D.
Author_Institution :
Dept. of Math. & Comput. Sci., Univ. of Catania, Catania, Italy
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
2117
Lastpage :
2120
Abstract :
Content-aware image resizing is an effective technique that allows to take into account the visual content of images during the resizing process. The basic idea beyond these algorithms is the resizing of an image by considering vertical and/or horizontal paths of pixels (i.e., seams) which contain low salient information. In this paper we exploit the Gradient Vector Flow (GVF) of the image to establish the paths to be considered during the resizing. The relevance of each path is derived from a saliency map obtained by considering the magnitude of the GVF associated to the image under consideration. The proposed technique has been tested, both qualitatively and quantitatively, by considering a representative set of images labeled with corresponding salient objects (i.e., ground-truth maps). Experimental results demonstrate that our method preserves crucial salient regions better than other state-of-the-art algorithms.
Keywords :
gradient methods; image processing; vectors; GVF; content-aware image resizing; gradient vector flow; low salient information; seam selection; Computational modeling; Computer vision; Cost function; Image processing; Standards; Vectors; Visualization; Content-Aware Image Resizing; Gradient Vector Flow; Image Retargeting; Visual Saliency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467310
Filename :
6467310
Link To Document :
بازگشت