An Image Indexing and Retrieval Model Using Reasoning Services
This paper uses content-based image retrieval technology and presents a reasoning-based image semantic indexing and retrieval approach, which could bridge the gap between complex structure of shapes and the extracted lowlevel features of images. It starts with image features extraction as other content-based image retrieval approaches do. Then applies structured knowledge representation methods to index, classify and recognize objects automatically according to the structured and semantic attributes of them. Syntactic and semantic descriptions of this indexing and retrieval model and some reasoning services involved in the issue are also analyzed and discussed. Finally, a simple semantic indexing and retrieval model framework of this method has been presented.
image retrieval semantic index content-based image retrieval reasoning services image classification
Suihua Wang Ailing Zhao
College of Computer and Information Technology Henan Normal University Xinxiang, China
国际会议
武汉
英文
872-875
2009-11-18（万方平台首次上网日期，不代表论文的发表时间）