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The joint effect of image blur and illumination distortions for Mobile Visual Search of print media

Conference Paper


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Abstract


  • Mobile Visual Search (MVS) is an emerging area of research given the explosion of smart and powerful mobile devices. Typically, the performance of MVS applications is influenced by the implemented image processing algorithms as well as various distortions that occur when capturing images by the mobile camera. This paper examines the joint effect of two common distortions, namely the illumination changes and image blurring on image matching accuracy for print media when using four state-of-the art local feature algorithms. Results obtained for a database of real camera images captured by two different camera models show that the illumination changes have a more negative effect on matching accuracy compared to image blurring and this influence is camera-dependent.

Publication Date


  • 2013

Citation


  • Y. Cao, C. Ritz & R. Raad, "The joint effect of image blur and illumination distortions for Mobile Visual Search of print media," in 13th International Symposium on Communications and Information Technologies: Communication and Information Technology for New Life Style Beyond the Cloud, ISCIT 2013, 2013, pp. 507-512.

Scopus Eid


  • 2-s2.0-84891130998

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2957&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1948

Has Global Citation Frequency


Start Page


  • 507

End Page


  • 512

Place Of Publication


  • United States

Abstract


  • Mobile Visual Search (MVS) is an emerging area of research given the explosion of smart and powerful mobile devices. Typically, the performance of MVS applications is influenced by the implemented image processing algorithms as well as various distortions that occur when capturing images by the mobile camera. This paper examines the joint effect of two common distortions, namely the illumination changes and image blurring on image matching accuracy for print media when using four state-of-the art local feature algorithms. Results obtained for a database of real camera images captured by two different camera models show that the illumination changes have a more negative effect on matching accuracy compared to image blurring and this influence is camera-dependent.

Publication Date


  • 2013

Citation


  • Y. Cao, C. Ritz & R. Raad, "The joint effect of image blur and illumination distortions for Mobile Visual Search of print media," in 13th International Symposium on Communications and Information Technologies: Communication and Information Technology for New Life Style Beyond the Cloud, ISCIT 2013, 2013, pp. 507-512.

Scopus Eid


  • 2-s2.0-84891130998

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2957&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1948

Has Global Citation Frequency


Start Page


  • 507

End Page


  • 512

Place Of Publication


  • United States