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Multi-operator image retargeting with automatic integration of direct and indirect seam carving

机译:多操作员图像重新定向,具有直接和间接接缝雕刻的自动集成

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摘要

Multi-operator image resizing can preserve important objects and structure in an image by combining multiple image resizing operators. However, traditional multi-operator methods do not take both horizontal and vertical content-aware resizing potential into consideration, which essentially leads to squeeze/stretch effect in the resultant images. In this paper, we propose a new multi-operator scheme that addresses aforementioned issue by integrating direct and indirect seam carving. Compared with previous methods, the proposed scheme remarkably reduces the cost of deciding when to change operators, by employing a newly defined image artifact measure. Furthermore, we propose a novel seam carving enhancement, named Accumulated Energy Seam Carving (ACESC), as a basic operator to improve global structure preservation. By combining horizontal and vertical seam carving, our scheme preserves the shapes of important objects well. We present typical results to demonstrate the effectiveness of our method. User study shows that our method has high user preference.
机译:多操作符图像大小调整可通过组合多个图像大小调整操作符来保留图像中的重要对象和结构。但是,传统的多运算符方法没有同时考虑水平和垂直的内容感知大小调整潜力,这实际上导致了所得图像的挤压/拉伸效果。在本文中,我们提出了一种新的多操作员方案,该方案通过集成直接和间接缝缝来解决上述问题。与以前的方法相比,该方案通过采用新定义的图像伪影度量,显着降低了决定何时更换算子的成本。此外,我们提出了一种新颖的接缝雕刻增强功能,称为“累积能量接缝雕刻”(ACESC),作为改善整体结构保存的基本操作者。通过结合水平和垂直接缝雕刻,我们的方案可以很好地保留重要物体的形状。我们提出典型结果以证明我们方法的有效性。用户研究表明,我们的方法具有很高的用户偏好。

著录项

  • 来源
    《Image and Vision Computing》 |2012年第9期|p.655-667|共13页
  • 作者单位

    Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, 200433, Shanghai, China;

    Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, 200433, Shanghai, China;

    Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, 200433, Shanghai, China;

    Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image resizing; multi-operator; seam carving; cropping method; image similarity;

    机译:图像调整大小;多运营商接缝雕刻裁剪方法图像相似度;

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