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- W2071987112 abstract "Visually convincing content-aware image resizing, which preserves semantically important image content, has been actively researched in recent years. This paper proposes a resizing detector that reveals the trace of seam carving and seam insertion. To unveil the evidence of seam carving, we exploit energy bias of seam carved images. In addition, the correlation between adjacent pixels is analyzed to estimate the inserted seams. Empirical evidence from a large database of test images demonstrates the superior performance of the proposed detector under a variety of settings." @default.
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- W2071987112 date "2013-01-01" @default.
- W2071987112 modified "2023-09-26" @default.
- W2071987112 title "Detection of Content-Aware Image Resizing Using Seam Properties" @default.
- W2071987112 doi "https://doi.org/10.4028/www.scientific.net/amm.284-287.3074" @default.
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