Adaptive image retargeting using saliency-based continuous seam carving

Abstract

This paper presents an adaptive image retargeting approach using saliency-based continuous seam carving to efficiently display images on small screens. A multiscale contrast-based saliency map is first generated and used as the energy map for conventional discrete seam carving, and a reasonable number of seams are adaptively extracted. Then the reduced dimensions allocated to continuous seam carving (CSC) and possible scaling are determined by the analysis of the energy curve of the extracted seams. The proposed CSC assigns to each extracted seam a reserving ratio in accordance with the corresponding seam energy and the reduced dimension, and the retargeted image is generated using an efficient scheme of mapping and resampling based on the reserving ratio map. Experimental results demonstrate better retargeting performance of the proposed approach under different reduction ratios.