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The research of visual attention mechanism model fuse multi-feature

机译:视觉注意机制模型融合多特征研究

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摘要

With the rapid development of network technology and multimedia technology, the researchers found that the neurobiology of human vision, computer vision and image and video processing and efficient combination for image, video can provide a more good solution of content retrieval applications, on the one hand, the simulation and study of visual attention mechanisms, can accurate images, video scene division of the region; we analyze the current theoretical basis of mechanism model, Proposed a significant degree measure algorithm fused color significant information, density significant and frequency domain transform significant base on visual attention mechanism model focus on multi-feature integration. Make records of significant area combined with a significant figure and as foundation for subsequent research and work.
机译:随着网络技术和多媒体技术的飞速发展,研究人员发现,一方面人类视觉,计算机视觉与图像和视频处理的神经生物学以及图像,视频的有效结合,一方面可以为内容检索应用提供更好的解决方案。 ,模拟和研究视觉注意力机制,可以准确地对图像,视频场景进行区域划分;我们分析了目前机理模型的理论基础,提出了一种基于视觉注意力机制模型的多特征融合的显着度测量算法,该算法融合了颜色显着信息,密度显着和频域变换显着。记录重要区域并结合重要数字,并为后续研究和工作奠定基础。

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