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- W2778575445 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." @default.
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- W2778575445 date "2017-06-15" @default.
- W2778575445 modified "2023-09-27" @default.
- W2778575445 title "Cluster-based saliency-guided content-aware image retargeting" @default.
- W2778575445 doi "https://doi.org/10.11989/jest.1674-862x.6071515" @default.
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