欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
基于内容图像检索的一个突出问题是图像低层特征与高层语义之间存在的巨大鸿沟，针对相关反馈和感兴趣区检测在弥补语义鸿沟时存在主观性强、耗时的缺点，提出了视觉信息是一种客观反映图像高层语义的新特征，基于视觉信息进行图像检索可以有效减小语义鸿沟；并在总结视觉感知的研究进展和实现方法的基础上，给出了基于视觉感知的图像检索在感兴趣区检测、图像分割、相关反馈和个性化检索四个方面的研究思路。
英文摘要：
One of the most challenging research issues in content-based image retrieval （CBIR） is how to bridge the significant semantic gap between the low-level image features and the high-level semantic concepts. The well-known solutions are rele-vance feedback and regions of interest （ROls） detection;however both are subjective and time-consuming. We propose the visual information is a new feature that can objectively interpret the high-level concepts and effectively reduce the semantic gap in image retrieval. We also make a survey on the research progresses and key technologies of visual perception. The research issues of image retrieval based on visual perception are introduced as well from four aspects： ROIs detection, image segmentation, relevance feedback and personalized retrieval.
同期刊论文项目
同项目期刊论文
位置：