A visual search of multimedia documents in ImageCLEF 2014

Sana Fakhfakh, Belhassen Akrout, Mohamed Tmar, Walid Mahdi

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

The Image search by content is an area that is based on a set of low-level features such as histograms, textures, the distribution of colors, shapes an brightness. The structure element is a shortcut of the image may vary depending on the designer of the XML document and which may change according to application needs. The visual appearance of the image is a permanent factor that undergoes no change. Therefore, we present in this paper a new method of search by content based on Harris detector, Haar wavelet and Color histogram for the step of feature extraction to extract a binary signature for all multimedia documents.Finally We estimate the similarities between codes and search relevant images with Hamming distance.

Original languageEnglish
Pages (from-to)715-723
Number of pages9
JournalCEUR Workshop Proceedings
Volume1180
StatePublished - 2014
Externally publishedYes
Event2014 Cross Language Evaluation Forum Conference, CLEF 2014 - Sheffield, United Kingdom
Duration: 15 Sep 201418 Sep 2014

Keywords

  • Future extraction
  • Hamming distance
  • Plant identification
  • Signature extraction

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