Digitization and search: A non-traditional use of HPC

Liana Diesendruck, Luigi Marini, Rob Kooper, Mayank Kejriwal, Kenton McHenry

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

Abstract

We describe our efforts to provide a form of automated search of handwritten content for digitized document archives. To carry out the search we use a computer vision technique called word spotting. A form of content based image retrieval, it avoids the still difficult task of directly recognizing text by allowing a user to search using a query image containing handwritten text and ranking a database of images in terms of those that contain more similar looking content. In order to make this search capability available on an archive three computationally expensive pre-processing steps are required. We augment this automated portion of the process with a passive crowd sourcing element that mines queries from the systems users in order to then improve the results of future queries. We benchmark the proposed framework on 1930s Census data, a collection of roughly 3.6 million forms and 7 billion individual units of information.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 SC Companion
Subtitle of host publicationHigh Performance Computing, Networking Storage and Analysis, SCC 2012
Pages1460-1462
Number of pages3
DOIs
StatePublished - Dec 1 2012
Event2012 SC Companion: High Performance Computing, Networking Storage and Analysis, SCC 2012 - Salt Lake City, UT, United States
Duration: Nov 10 2012Nov 16 2012

Publication series

NameProceedings - 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, SCC 2012

Other

Other2012 SC Companion: High Performance Computing, Networking Storage and Analysis, SCC 2012
CountryUnited States
CitySalt Lake City, UT
Period11/10/1211/16/12

Keywords

  • Big Data
  • Digitization
  • Indexing Text

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

Fingerprint Dive into the research topics of 'Digitization and search: A non-traditional use of HPC'. Together they form a unique fingerprint.

Cite this