{"title":"使用SGLD矩阵的基于意图的图像检索","authors":"Ying Dai","doi":"10.1109/ICCIMA.2003.1238146","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed an intention-based image retrieval approach by using the SGLD (space gray level dependence) matrices of images. By using textural features of SGLD matrices, associations between the human visual perception for images and the SGLD textural features were analyzed. Based on the analysis results, the scheme for intention-based image retrieval was proposed.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Intention-based image retrieval using SGLD matrices\",\"authors\":\"Ying Dai\",\"doi\":\"10.1109/ICCIMA.2003.1238146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed an intention-based image retrieval approach by using the SGLD (space gray level dependence) matrices of images. By using textural features of SGLD matrices, associations between the human visual perception for images and the SGLD textural features were analyzed. Based on the analysis results, the scheme for intention-based image retrieval was proposed.\",\"PeriodicalId\":385362,\"journal\":{\"name\":\"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIMA.2003.1238146\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIMA.2003.1238146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intention-based image retrieval using SGLD matrices
In this paper, we proposed an intention-based image retrieval approach by using the SGLD (space gray level dependence) matrices of images. By using textural features of SGLD matrices, associations between the human visual perception for images and the SGLD textural features were analyzed. Based on the analysis results, the scheme for intention-based image retrieval was proposed.