SnapFind: Brute force interactive image retrieval

Larry Huston, Rahul Sukthankar, Derek Hoiem, Jiaying Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings - Third International Conference on Image and Graphics
Pages154-159
Number of pages6
DOIs
StatePublished - Dec 1 2004
Externally publishedYes
EventProceedings - Third International Conference on Image and Graphics - Hong Kong, Hong Kong
Duration: Dec 18 2004Dec 20 2004

Publication series

NameProceedings - Third International Conference on Image and Graphics

Other

OtherProceedings - Third International Conference on Image and Graphics
Country/TerritoryHong Kong
CityHong Kong
Period12/18/0412/20/04

ASJC Scopus subject areas

  • Engineering(all)

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