A novel compressibility-aware image retargeting method based on seam carving is
introduced in this paper. We propose a new significance detection method, with both the …

针对内容敏感图像缩放技术调整图像尺寸时会出现重要信息丢失, 物体边缘扭曲,
非显著区域结构信息不完整等问题, 提出基于边缘模糊的景深显著性算法. 根据心理学原理 …

We propose a gradient-based global feature and its application to seam carving. We focus
on areas, rather than points and lines, to be assigned as important elements for expressing …

Image retargeting technique becomes research hot with the widely used digital images on
different display screens, such as TV, iPhone, iPad and other wearable equipment. The …

为了保持图像中的人物和显著目标, 避免局部区域过度压缩, 提出一种基于能量图和条分割的
图像缩放算法. 首先计算图像中所有像素点的梯度值, 结合人体检测并赋予人体区域较大权重来 …

Image retargeting technique requires important information preservation and less edge
distortion during increasing/decreasing image retargeting. In order to preserve the important …

The complexity of current and emerging computing systems has led the research
communities to find new ways of designing and managing networks, systems and services …

Based on image strip dividing, an effective and fast image retargeting algorithm is proposed
for resizing images. First, we construct the image energy map using gradient magnitude of …

We propose gradient-based global features and its application to image retargeting. The
proposed features are used for an importance map for image retargeting, which represents …