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Fast Content Aware Image Retargeting

机译:快速的内容感知图像重定向

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摘要

This paper addresses the problem of retargeting, namely adapting large source images for effective viewing at a smaller size with possible applications to PDAs, or dynamic page layouts. Instead of extracting regions of interest for retargeting, the uninteresting parts are removed from the scene [8]. This is done by computing the RGB variance within non-overlapping 3x3 blocks and removing the block path with minimal variance cost using dynamic programming. It is shown that transformation to CIELAB space is more effective for visual interpretation of image content. The implementations are shown to be much faster than the seam carving approach of [8]. Schemes are also presented for speeding up the seam carving scheme itself.
机译:本文解决了重新定位的问题,即将较大的源图像改编为更小尺寸的有效查看方式,并可能将其应用到PDA或动态页面布局中。代替提取感兴趣区域以进行重新定向,将不感兴趣的部分从场景中删除[8]。这是通过计算非重叠3x3块内的RGB方差并使用动态编程以最小的方差成本删除块路径来完成的。结果表明,转换为CIELAB空间对于图像内容的视觉解释更有效。所展示的实现比[8]的接缝雕刻方法要快得多。还提出了用于加快接缝雕刻方案本身的方案。

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