The Cognitive Essence of Metaphor: the Transfer of Semantic Feature between Different Categories; Saliency and Accessibility: A Critical Analysis of Accessibility Theory 隐喻的认知本质:跨范畴的语义特征迁移显著性与可及性&对可及性理论基本范畴的质疑
Contour Perception of Saliency Object Based on Visual Attention Mechanism 基于视觉注意机制的显著物体轮廓感知
Viewpoint quality computing method based on mesh saliency 基于网格显著度的视点质量计算方法
Image structure representation based on graph-cut and saliency 基于图割和显著性的图像结构表示方法研究
A new method was proposed to identify rotor position based on motor saliency effect. 本文利用电机磁场的饱和效应,提出了一种新型转子位置辨识方法。
Using arc dynamic as a measurement of contours saliency, one hierarchical contours detection method of high efficiency was proposed. 以弧段动力学作为区域轮廓的显著性评价,提出了一种多等级区域轮廓提取的高效方法。
A hierarchical search strategy driven by saliency measurement is adopted in both linking processes. 2种基元的连接都采用了显著度驱动的层次性搜索策略。
Our model can reflect attention saliency information distribution effectively. 2. 我们模型的效果能很好地反映注意力的显著性信息分布。
Research on video enhancement and saliency detection technology. 研究了显著区域检测和视频增强技术。
So far, for the static image, there have been many mature methods for saliency regional extraction. 到目前为止,针对静态图像已有较为成熟的显著区域提取方法。
Saliency detection is then carried out in a two-stage scheme to extract background regions and foreground salient objects efficiently. 然后,构建了一个两级排序方案来高效的提取显著区域和背景区域。
Attention saliency information is applied to image segmentation and achieves automatic segmentation of color images. 将注意力显著性信息应用到图像分割中,实现了彩色图像的自动分割。
Although saliency information is used to try solving some problems, it cannot obtain satisfactory results in many applications. 虽然已经有很多方法尝试使用图像显著性检测结果解决一些问题,但在具体应用中仍然无法得到让人满意的效果。
On this basis, dynamic saliency characteristics are extracted from motion amplitude and motion consistency these two aspects. 在此基础上,从运动幅值和运动一致性两个方面提取出动态显著性特征。
It is always an important issue in this area that how to evaluate the quality of saliency maps effectively. 如何有效地评价显著图质量一直是这个领域重要的问题之一。
In bottom-up attention selection models, the results are displayed in saliency maps. 在自下而上的注意力选择模型当中,模型的结果一般都是依靠注意力显著图来表现的。
We focus on the possible explanation of visual saliency and the relation between redundancy and saliency. 本文的重点是显著性的成因的可能解释,以及数据冗余性与视觉显著性之间的关系。
The contrast prior and the proposed center prior are combined to compute an initial saliency map. 而后将对比度先验和新的中心先验结合来得到初始的显著图。
The method improves the reconstructed image quality considerably compared to the case when saliency information is not used. 与不使用显著性信息时的情况相比,该方法能够明显提高重构图像的质量。
We propose a simple and effective model to compute the saliency for pixels in image. 对每个像素的显著程度,本文提出了一种简单有效的计算模型。
We introduce a new evaluation criterion for saliency map. 提出了一个全新的显著图评价标准。
And the result shows that the local saliency of image is related to the visual perception. 测试结果表明,图像局部显著度结果与视觉感知结果较好地吻合。
According to saliency map, an image can be divided into salient part and background part roughly. 根据显著特征图,图像可以大致分为显著特征区域和背景区域。
Saliency detection has become a valuable tool in computer vision processing. 显著性检测已经成为计算机视觉处理过程中的有力工具。
The paper deals with the computational models of bottom-up visual saliency. 本文考察了自下而上的视觉显著性的计算模型。
The saliency measure is based on natural image statistics, rather than based on a single test image. 不同于其他的显著性度量,仅依赖于单个测试图像,该模型依赖于大量的自然场景图像。
This paper proposes a gray distribution histogram method to analyze saliency of the image. 在上述标签排序算法中,为了判别图像是否存在显著区域,本文首次提出了一种基于灰度分布直方图统计的显著性分析方法。
Experiments show that saliency generated from our method can uniformly highlight the whole salient region. 2. 实验证明,我们的方法生成的显著度图能够均匀地高亮了整个显著性区域。
Image saliency detection is a very challenging and important research area in computer vision. 图像显著度检测是计算机视觉研究领域中一个很具有挑战性但又很重要的研究方向。
The concrete research contents are as follows. 1. Color image segmentation based on RGB comprehensive information saliency. 具体研究内容如下:1.基于RGB综合显著性的彩色图像分割方法研究。