燕山大学学报Issue(6)：551-556,6.DOI:10.3969/j.issn.1007-791X.2014.06.011
基于局部语义上下文的场景分类方法
Scene classification based on local semantic context
温旭杰 1卢辉斌 1李强2
作者信息
- 1. 燕山大学 信息科学与工程学院，河北 秦皇岛 066004
- 2. 燕山大学计算机软件中心有限公司，河北 秦皇岛 066004
- 折叠
摘要
Abstract
An approach to scene classification based on local semantic context is proposed to solve the problem of complex scene classification. The set of super-pixel of image is segmented, and the local feature extracted from the super-pixel is used as the local image observation. The random variable is introduced to represent local semantic objects, and the spatial context of the image is described by the relationship among the variables and their neighbourhood. A new mathematical formula is used to describe the relationship among image observations, image content and scene categorization, and the semantic modeling and scene classification of the whole image is obtained. The test on the standard image dataset has demonstrated the effectiveness of the proposed approach comparable with other state-of-the-art approaches.关键词
场景分类/局部语义/特征提取/函数优化Key words
scene classification/local semantic/feature extraction/function optimization分类
信息技术与安全科学引用本文复制引用
温旭杰,卢辉斌,李强..基于局部语义上下文的场景分类方法[J].燕山大学学报,2014,(6):551-556,6.
