DocumentCode :
2852674
Title :
SnapFind: brute force interactive image retrieval
Author :
Huston, Larry ; Sukthankar, Rahul ; Hoiem, Derek ; Zhang, Jiaying
Author_Institution :
Intel Res., Pittsburgh, PA, USA
fYear :
2004
fDate :
18-20 Dec. 2004
Firstpage :
154
Lastpage :
159
Abstract :
SnapFind is an image retrieval system that enables efficient interactive search of large data sets by exploiting active disk technology. In contrast to earlier approaches, where data is typically pre-indexed for efficient retrieval according to a fixed scheme, SnapFind provides users with the flexibility to search non-indexed data in a brute force manner. The query is translated into a customized searchlet that is executed in parallel by processors near the storage devices. This enables the majority of irrelevant images to be discarded where they are stored. Partial results are displayed during search execution allowing users to interactively refine the query without waiting for search termination. This paper argues that algorithms with user-adjustable parameters are preferable to black-box image retrieval techniques.
Keywords :
image retrieval; interactive systems; SnapFind; active disk technology; black-box image retrieval technique; brute force interactive image retrieval; Content based retrieval; Face detection; Feedback; Image recognition; Image retrieval; Indexing; Information retrieval; Multidimensional systems; Object detection; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG'04), Third International Conference on
Conference_Location :
Hong Kong, China
Print_ISBN :
0-7695-2244-0
Type :
conf
DOI :
10.1109/ICIG.2004.133
Filename :
1410409
Link To Document :
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