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News Videos Segmentation Using Dominant Colors Representation

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 730)

Abstract

In this chapter, we propose a new representation of images. We called that representation as “Dominant Colors”. We defined the dissimilarity of two images as a vector contains the difference in order of each dominant color between the two image representations. Our new image representation and dissimilarity measure are utilized to segment the news videos by detecting the abrupt cuts. A neural network trained with our new dissimilarity measure to classify between two classes of news videos frames: cut frames and non-cut frames. Our proposed system tested in real news videos from different TV channels. Experimental results show the effectiveness of our new image representation and dissimilarity measure to describe the images and segment the news videos.

Keywords

News videos Video segmentation Abrupt cut Dominant colors 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Ibrahim A. Zedan
    • 1
  • Khaled M. Elsayed
    • 1
  • Eid Emary
    • 1
  1. 1.Faculty of Computers & InformationCairo UniversityCairoEgypt

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