DocumentCode
3530744
Title
MiPai: Using the PP-Index to Build an Efficient and Scalable Similarity Search System
Author
Esuli, Andrea
Author_Institution
Ist. di Scienza e Tecnol. dell´´Inf., Consiglio Naz. delle Ricerche, Italy
fYear
2009
fDate
29-30 Aug. 2009
Firstpage
146
Lastpage
148
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.
Keywords
data structures; image retrieval; search engines; MiPai Web interface; MiPai-image search system; data structure; permutation prefix index; scalable similarity search system; text-based search functionality; visual similarity search; Costs; Data structures; Helium; MPEG 7 Standard; Memory; Scalability; Service oriented architecture; Testing; Time measurement; similarity search;
fLanguage
English
Publisher
ieee
Conference_Titel
Similarity Search and Applications, 2009. SISAP '09. Second International Workshop on
Conference_Location
Prague
Print_ISBN
978-0-7695-3765-8
Type
conf
DOI
10.1109/SISAP.2009.14
Filename
5271941
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