Image retrieval based on fuzzy ontology
作者: Madiha LiaqatSharifullah KhanMuhammad Majid
作者单位: 1National University of Sciences & Technology (NUST)
2University of Engineering & Technology (UET)
刊名: Multimedia Tools and Applications, 2017, Vol.76 (21), pp.22623-22645
来源数据库: Springer Nature Journal
DOI: 10.1007/s11042-017-4812-9
关键词: Image retrievalText based image retrievalFuzzy ontologyObjective evaluationSubjective evaluation
原始语种摘要: Rapid increase in digital images demands effective and efficient image retrieval systems. In text based image retrieval, images are annotated with keywords based on human perception. A user query is composed of keywords according to his/her requirements. Query keywords are matched with the keywords associated with images, for retrieval. This process has been extended with ontology to resolve semantic heterogeneities. However, crisp annotation and retrieval processes could not produce the desired results because both processes involve human perception. To overcome this problem, we have proposed a retrieval system that makes use of fuzzy ontology for improving retrieval performance. For modeling the semantic description of an image, it is divided into regions in our dataset and then regions...
全文获取路径: Springer Nature  (合作)
影响因子:1.014 (2012)

  • 语义上的 保密的
  • retrieval 检索
  • ontology 本体论
  • fuzzy 模糊的
  • image 
  • query 查询
  • perception 知觉
  • classified 保密的
  • semantic 保密的
  • existing 现行
  • efficient 有用的