{"title":"基于TSR和线性哈希的快速符号图像索引与检索方法","authors":"M. S. Yazdi, K. Najafzade, M. Moghaddam","doi":"10.1109/ISSPIT.2008.4775701","DOIUrl":null,"url":null,"abstract":"In recent years, image databases have grown faster; hence there are a real need for fast indexing and retrieval methods in image databases. In this paper, we proposed an approach for fast image indexing and retrieval in symbolic image databases using triangular spatial relations (TSR). The indexing data structure is based on a new introduced structure and hash function. To obtain the time complexity O(1); the linear hashing was used that has constant load factor. The experimental results were great.","PeriodicalId":213756,"journal":{"name":"2008 IEEE International Symposium on Signal Processing and Information Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Fast Symbolic Image Indexing and Retrieval Method Based On TSR and Linear Hashing\",\"authors\":\"M. S. Yazdi, K. Najafzade, M. Moghaddam\",\"doi\":\"10.1109/ISSPIT.2008.4775701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, image databases have grown faster; hence there are a real need for fast indexing and retrieval methods in image databases. In this paper, we proposed an approach for fast image indexing and retrieval in symbolic image databases using triangular spatial relations (TSR). The indexing data structure is based on a new introduced structure and hash function. To obtain the time complexity O(1); the linear hashing was used that has constant load factor. The experimental results were great.\",\"PeriodicalId\":213756,\"journal\":{\"name\":\"2008 IEEE International Symposium on Signal Processing and Information Technology\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Signal Processing and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPIT.2008.4775701\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Signal Processing and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2008.4775701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Fast Symbolic Image Indexing and Retrieval Method Based On TSR and Linear Hashing
In recent years, image databases have grown faster; hence there are a real need for fast indexing and retrieval methods in image databases. In this paper, we proposed an approach for fast image indexing and retrieval in symbolic image databases using triangular spatial relations (TSR). The indexing data structure is based on a new introduced structure and hash function. To obtain the time complexity O(1); the linear hashing was used that has constant load factor. The experimental results were great.
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