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Cluster-Based Saliency-Guided Content-Aware Image Retargeting
Authors:Li-Wei Kang  Ching-Yu Tseng  Chao-Long Jheng  Ming-Fang Weng  Chao-Yung Hsu
Abstract:Straightforward image resizing operators without considering image contents (e.g., uniform scaling) cannot usually produce satisfactory results, while content-aware image retargeting aims to arbitrarily change image size while preserving visually prominent features. In this paper, a cluster-based saliency-guided seam carving algorithm for content-aware image retargeting is proposed. To cope with the main drawback of the original seam carving algorithm relying on only gradient-based image importance map, we integrate a gradient-based map and a cluster-based saliency map to generate a more reliable importance map, resulting in better single image retargeting results. Experimental results have demonstrated the efficacy of the proposed algorithm.
Keywords:Content-aware   image retargeting   image resizing   multimedia adaptation   saliency detection   seam carving
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