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[RBD12] Similarity Search in a Very Large Scale Using Hadoop and HBase
Rapport du Laboratoire : Date de dépot: 2012/01/10, Nb pages 13,Mots clés: Web scale - search by content - multimedia databases
Résumé:
We
experimented a solution for large-scale indexing of multimedia datasets based on
an existing platform, namely Hadoop/HBase. Since this platform does not natively
supports indexing of multimedia descriptors in a high-dimensional space, we
chose to adopt a solution based on a transformation of the problem to a more
traditional Information Retrieval approach, and inspired by research
elaborated with our parters. We implemented the solution and conducted extensive
experiences to assess its robustness in a Big Data context.
The design of this
solution and the results obtained so far are described in what follows.
Equipe:
vertigo
BibTeX
| @techreport { | |||
| RBD12, | |||
| title | = | "{Similarity Search in a Very Large Scale Using Hadoop and HBase}", | |
| author | = | "P. Rigaux and S. Barton and V. Dohnal", | |
| number | = | "{}", | |
| institution | = | "{CEDRIC laboratory, CNAM-Paris, France}", | |
| date | = | {10-01-2012}, | |
| pages | = | "13", | |
| } | |||
