{"title":"Distributed Locality Sensitivity Hashing","authors":"Smita Wadhwa, Pawan Gupta","doi":"10.1109/CCNC.2010.5421655","DOIUrl":null,"url":null,"abstract":"In this paper, we present DLSH Distributed Locality Sensitive Hashing, a similar-data search technology. The huge growth in the size of video content has broken the traditional multi-media index hosting and look-up solutions, these are not able to scale to the size of the current and projected index requirements. Distributed LSH (D-LSH) addresses this need of a highly scalable multi-media index. DLSH performs better for finding approximate near neighbors on extremely large scales, as DLSH distributes close points on single boxes, and far points on different boxes based on projections.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"207 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 7th IEEE Consumer Communications and Networking Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2010.5421655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper, we present DLSH Distributed Locality Sensitive Hashing, a similar-data search technology. The huge growth in the size of video content has broken the traditional multi-media index hosting and look-up solutions, these are not able to scale to the size of the current and projected index requirements. Distributed LSH (D-LSH) addresses this need of a highly scalable multi-media index. DLSH performs better for finding approximate near neighbors on extremely large scales, as DLSH distributes close points on single boxes, and far points on different boxes based on projections.