Title :
MiPai: Using the PP-Index to Build an Efficient and Scalable Similarity Search System
Author_Institution :
Ist. di Scienza e Tecnol. dell´´Inf., Consiglio Naz. delle Ricerche, Italy
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;
Conference_Titel :
Similarity Search and Applications, 2009. SISAP '09. Second International Workshop on
Conference_Location :
Prague
Print_ISBN :
978-0-7695-3765-8
DOI :
10.1109/SISAP.2009.14
