Paper Info
Title
A fast hybrid retargeting scheme with seam context and content aware strip partition.
Abstract
Image retargeting as a basic trick has been successfully applied to various computer vision problems. In this work, we propose a fast non-continuous seam carving with seam context (FN2SC) for robust and efficient image retargeting. FN2SC first conducts content aware image partition to separate an image into several strips with different target sizes from their content importance. It helps the removed seams in key objects distribute in a relatively uniform manner and prevents distortions to key objects. Then FN2SC performs fast non-continuous seam carving controlled by seam context of both neighboring relationship and touch bound relationship of seams. The seam context makes the removed seams distribute scattered and relieves artifacts caused by seam carving. During seam carving, image distortion is monitored by fast content aware image distance. Finally, FN2SC switches seam carving to scaling when the distortion meets the tolerance, which resizes the strips to the target sizes for image retargeting. Specifically, fast seam searching and image distortion based switching make FN2SC a fast and effective hybrid scheme. Experimental results demonstrate that the proposed FN2SC approach achieves good performance in terms of image quality and efficiency comprehensively.
Year
DOI
Venue
2018
10.1016/j.neucom.2018.01.058
Neurocomputing
Keywords
Field
DocType
Non-continuous seam carving,Seam context,Content aware strip partition,Seam distribution,Fast content aware image distance
Pattern recognition,Seam carving,Image quality,Retargeting,STRIPS,Artificial intelligence,Partition (number theory),Distortion,Mathematics
Journal
Volume
Issue
ISSN
286
C
0925-2312
Citations 
PageRank 
References 
0
0.34
32
Authors
6
Name
Order
Citations
PageRank
Lifang Wu1134.52
Chuncan Yan210.72
Meng Jian31810.79
Shuang Liu400.34
Weiming Dong534935.73
Chang Wen Chen62973263.89