{"title":"使用共现矩阵特征的动态纹理索引","authors":"M. Mocofan, R. Vasiu","doi":"10.1109/SACI.2012.6250024","DOIUrl":null,"url":null,"abstract":"The area of applications of dynamic texture is very wide: video surveillance, transaction systems, medical application and video synthesis. The paper presents an indexing model in large databases of dynamics texture using the co-occurrence matrix features. We use more directions and translations to compute the indexing vector from the 2D+T space of dynamic textures.","PeriodicalId":293436,"journal":{"name":"2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Dynamic textures indexing using the co-occurrence matrix features\",\"authors\":\"M. Mocofan, R. Vasiu\",\"doi\":\"10.1109/SACI.2012.6250024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The area of applications of dynamic texture is very wide: video surveillance, transaction systems, medical application and video synthesis. The paper presents an indexing model in large databases of dynamics texture using the co-occurrence matrix features. We use more directions and translations to compute the indexing vector from the 2D+T space of dynamic textures.\",\"PeriodicalId\":293436,\"journal\":{\"name\":\"2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2012.6250024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2012.6250024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic textures indexing using the co-occurrence matrix features
The area of applications of dynamic texture is very wide: video surveillance, transaction systems, medical application and video synthesis. The paper presents an indexing model in large databases of dynamics texture using the co-occurrence matrix features. We use more directions and translations to compute the indexing vector from the 2D+T space of dynamic textures.