Title: A Fast Hybrid Retargeting Scheme with Seam Context and Content Aware Strip Partition
Authors: Wu, LF; Yan, CC; Jian, M; Liu, S; Dong, WM; Chen, CW
Author Full Names: Wu, Lifang; Yan, Chuncan; Jian, Meng; Liu, Shuang; Dong, Weiming; Chen, Chang Wen
Source: NEUROCOMPUTING, 286 198-213; 10.1016/j.neucom.2018.01.058 APR 19 2018
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 tar get 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. (c) 2018 Elsevier B.V. All rights reserved.
IDS Number: FX9MV
Unique ID: WOS:000426425700019