Visual Perception and Content-based Image Retrieval

摘要：

Content-based image retrieval makes use of structural visual features of images to retrieve visually similar images. The human visual system and perception have been the foundations and source of inspiration for the design of content-based image retrieval systems. This paper provides an overview of human vision and perception in the area of cognitive psychology and review of content-based image retrieval in the area of computer science to explore the relationship of research across disciplines. The focus of the paper is to link the findings in cognitive psychology to the theoretical and technical issues of content-based image retrieval that could provide valuable insights into the system design and evaluation and inspire new approaches to solving some problems faced in content-based image retrieval.

作者: Lei Ye

作者单位: University of Wollongong, Australia

会议类型: 国际会议

会议名称: 第二届生物计算：理论及应用国际会议(The Second International Conference on Bio-Inspired Computing: Theories and Applications)

会议地点: 郑州

会议语种:英文

页码: 17

在线出版日期: 2007-09-14（万方平台首次上网日期，不代表论文的发表时间）