计算机科学 ›› 2011, Vol. 38 ›› Issue (9): 182-185.
• 人工智能 • 上一篇 下一篇
王灵江,阮佳彬,杨育彬
出版日期:
发布日期:
基金资助:
WANG Ling-jiang, RUAN Jia-bin , YANG Yu-bin
Online:
Published:
摘要： 大量的需求使得图像检索成为当前研究的热点。提出了对图像进行均匀分割、识别区域子概念并在此基础上对概念分布向量进行融合的场景分类方法。实验结果表明，这种方法提高了分类结果的P/R值，获得了很好的分类结果。
关键词: 区域子概念，概念分布向量，特征融合，场景分类
Abstract: A large quantity of practical demand has made image retrieval a research focus. We proposed a scene classificanon method based on the fusion of concept occurrence vectors, which are gained by segmenting images uniformly and recognizing corresponding regional sub concepts. Experiments show that our method increases the P/R values of scene classification,bringing a better result.
Key words: Regional sub conccpts,Conccpt occurrence vcctor,Fcature fushion,Sccnc classification
王灵江,阮佳彬,杨育彬. 基于区域语义子概念分布的场景分类[J]. 计算机科学, 2011, 38(9): 182-185. https://doi.org/
WANG Ling-jiang, RUAN Jia-bin , YANG Yu-bin. Scene Classification Method Based on the Feature Fusion of Regional Semantic Sub-concept Occurrence[J]. Computer Science, 2011, 38(9): 182-185. https://doi.org/
0 / / 推荐
导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks
链接本文: https://www.jsjkx.com/CN/
https://www.jsjkx.com/CN/Y2011/V38/I9/182
Cited
首页