{"title":"米派:利用PP-Index构建高效、可扩展的相似度搜索系统","authors":"Andrea Esuli","doi":"10.1109/SISAP.2009.14","DOIUrl":null,"url":null,"abstract":"MiPai is an image search system that provides visual similarity search and text-based search functionalities. The similarity search functionality is implemented by means of the Permutation Prefix Index (PP-Index), a novel data structure for approximate similarity search. The text-based search functionality is based on a traditional inverted list index data structure. MiPai also provides a combined visual similarity/text search function.","PeriodicalId":130242,"journal":{"name":"2009 Second International Workshop on Similarity Search and Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"MiPai: Using the PP-Index to Build an Efficient and Scalable Similarity Search System\",\"authors\":\"Andrea Esuli\",\"doi\":\"10.1109/SISAP.2009.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"MiPai is an image search system that provides visual similarity search and text-based search functionalities. The similarity search functionality is implemented by means of the Permutation Prefix Index (PP-Index), a novel data structure for approximate similarity search. The text-based search functionality is based on a traditional inverted list index data structure. MiPai also provides a combined visual similarity/text search function.\",\"PeriodicalId\":130242,\"journal\":{\"name\":\"2009 Second International Workshop on Similarity Search and Applications\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Second International Workshop on Similarity Search and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISAP.2009.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second International Workshop on Similarity Search and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISAP.2009.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MiPai: Using the PP-Index to Build an Efficient and Scalable Similarity Search System
MiPai is an image search system that provides visual similarity search and text-based search functionalities. The similarity search functionality is implemented by means of the Permutation Prefix Index (PP-Index), a novel data structure for approximate similarity search. The text-based search functionality is based on a traditional inverted list index data structure. MiPai also provides a combined visual similarity/text search function.