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Efficient Media Retrieval from Non-Cooperative Queries

  • Kevin ShihEmail author
  • Wei Di
  • Vignesh Jagadeesh
  • Robinson Piramuthu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9163)

Abstract

Text is ubiquitous in the artificial world and easily attainable when it comes to book title and author names. Using the images from the book cover set from the Stanford Mobile Visual Search dataset and additional book covers and metadata from openlibrary.org, we construct a large scale book cover retrieval dataset, complete with 100 K distractor covers and title and author strings for each.

Because our query images are poorly conditioned for clean text extraction, we propose a method for extracting a matching noisy and erroneous OCR readings and matching it against clean author and book title strings in a standard document look-up problem setup. Finally, we demonstrate how to use this text-matching as a feature in conjunction with popular retrieval features such as VLAD using a simple learning setup to achieve significant improvements in retrieval accuracy over that of either VLAD or the text alone.

Keywords

Large scale Media retrieval Text 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Kevin Shih
    • 1
    Email author
  • Wei Di
    • 2
  • Vignesh Jagadeesh
    • 2
  • Robinson Piramuthu
    • 2
  1. 1.Department of Computer ScienceUniversity of Illinois at Urbana-ChampaignUrbanaUSA
  2. 2.EBay Research LabsSan JoseUSA

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