Design and implementation of semantics-based image retrieval system

Autor:	Xiaowei Yin, Shenkui Liu, Chundi Ni, Ligong Pan
Rok vydání:	2015
Předmět:	Information retrieval Automatic image annotation Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Visual Word Layer (object-oriented design) Semantics Cluster analysis Image retrieval Feature detection (computer vision)
Zdroj:	ICDIP
ISSN:	0277-786X
DOI:	10.1117/12.2197236
Popis:	Through the study of the existing image retrieval technology, in this paper, a new design scheme of semantics-based image retrieval system is presented. Based on the establishment of mapping relationship between the low-level image features and the low layer of semantic image, this scheme associates the low layer of semantic image with high-level semantics, thus realizing hierarchical semantics description structure, to improve the high-level semantic image recognition accuracy rate.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fec6a836a71c79ccb3ba28df7984d807 https://doi.org/10.1117/12.2197236 Zobrazit plný text záznamu