How salient is scene text?

Asif Shahab, Faisal Shafait, Andreas Dengel, Seiichi Uchida

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

25 Citations (Scopus)

Abstract

Computational models of visual attention use image features to identify salient locations in an image that are likely to attract human attention. Attention models have been quite effectively used for various object detection tasks. However, their use for scene text detection is under-investigated. As a general observation, scene text often conveys important information and is usually prominent or salient in the scene itself. In this paper, we evaluate four state-of-the-art attention models for their response to scene text. Initial results indicate that saliency maps produced by these attention models can be used for aiding scene text detection algorithms by suppressing non-text regions.

Original languageEnglish
Title of host publicationProceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012
Pages317-321
Number of pages5
DOIs
Publication statusPublished - 2012
Event10th IAPR International Workshop on Document Analysis Systems, DAS 2012 - Gold Coast, QLD, Australia
Duration: Mar 27 2012Mar 29 2012

Other

Other10th IAPR International Workshop on Document Analysis Systems, DAS 2012
CountryAustralia
CityGold Coast, QLD
Period3/27/123/29/12

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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