基于视觉注意力模型的显著性提取 关键词:视觉注意力;显著性提取;静态显著;动态显著 [gap=1112]Key words:visual attention;saliency extraction;static seaiency image;dynamic saliency image
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It incorporated visual attention model based saliency map to make the energy description of image content perfect. Moreover,proposed a content based adaptive seam mechanism to improve the resizing efficiency with the technique of hierarchical acceleration dynamic programming.
结合基于视觉注意力模型的显著度图,完善图像内容的能量描述;同时,提出一种基于图像内容的粗、细能量线自适应机制,与层次加速动态规划一起,加速缩放效率。
参考来源 - 结合显著度图和自适应能量线的快速图像缩放This paper mainly introduces attention mechanism, image segmentation and the theory and main methods of extraction salient region, then study the visual salience feature and feature extraction, in the last salient region extraction system based on attention mechanism is introduced.
本文主要介绍了注意力模型、图像分割和显著区域提取的理论以及主要的方法,然后研究视觉注意力特征与提取,最后介绍了一个基于注意力机制的显著区域提取系统。
参考来源 - 基于注意力机制的显著区域提取研究和实现·2,447,543篇论文数据,部分数据来源于NoteExpress
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