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FE-CBIRS Using Color Distribution for Cut Retrieval in IPTV

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(1), pp.91-97
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Koo Gun Seo 1

1숭의여자대학

Accredited

ABSTRACT

This paper proposes novel FE-CBIRS that finds best position of a cut to be retrieved based on color feature distribution in digital contents of IPTV. Conventional CBIRS have used a method that utilizes both color and shape information together to classify images, as well as a method that utilizes both feature information of the entire region and feature information of a partial region that is extracted by segmentation for searching. Also, in the algorithm, average, standard deviation and skewness values are used in case of color features for each hue, saturation and intensity values respectively. Furthermore, in case of using partial regions, only a few major colors are used and in case of shape features, the invariant moment is mainly used on the extracted partial regions. Due to these reasons, some problems have been issued in CBIRS in processing time and accuracy so far. Therefore, in order to tackle these problems, this paper proposes the FE-CBIRS that makes searching speed faster by classifying and indexing the extracted color information by each class and by using several cuts that are restricted in range as comparative images.

Citation status

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