文章詳目資料

Journal of Computers EIMEDLINEScopus

  • 加入收藏
  • 下載文章
篇名 Learning Complex Spatial Relation Model from Spatial Data
卷期 30:6
作者 Sheng-Sheng WangRu-Yi Dong
頁次 123-136
關鍵字 classificationcomplex spatial relationsfeature selectionqualitative spatial reasoningEIMEDLINEScopus
出刊日期 201912
DOI 10.3966/199115992019123006010

中文摘要

英文摘要

Describing spatial relations is a challenging task in image understanding and contentbased image retrieval. There are only few works focused on describing complex spatial relations, and they usually use mathematical system which is not self-adapted, i.e. one model is only suitable for certain group of datasets. To address these problems, we proposed a self-adapted method for describing complex spatial relations. With our method, the complex spatial relation model can be quickly and accurately generated from very few labeled samples without prioriknowledge. The proposed method is tested on several benchmark datasets, and the experiment results demonstrate the superior performance and the robustness of our method.

本卷期文章目次

相關文獻