Detail publikace

Color Image (Dis)Similarity Assessment and Grouping based on Dominant Colors

KARÁSEK, J. BURGET, R. UHER, V. MAŠEK, J. DUTTA, M.

Originální název

Color Image (Dis)Similarity Assessment and Grouping based on Dominant Colors

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The computer vision connected to image understanding becomes more and more important in everyday life. This paper concerns the image (dis)similarity assessment and grouping. The main contribution of this paper is the method for image (dis)similarity assessment based on dominant colors. The experimental results showed better results than the Direct Pixel Similarity and Color Histograms and method proved to be capable of detecting images similar to the target image.

Klíčová slova

Categorization, Classification, Clustering, Computer Vision, Image Processing, Image Similarity Measure

Autoři

KARÁSEK, J.; BURGET, R.; UHER, V.; MAŠEK, J.; DUTTA, M.

Rok RIV

2014

Vydáno

9. 7. 2015

Místo

Berlin, Germany

ISBN

978-80-214-4983-1

Kniha

2014 37th International Conference on Telecommunications and Signal Processing (TSP)

Strany od

756

Strany do

759

Strany počet

4

URL

https://ieeexplore.ieee.org/document/7296366

BibTex

@inproceedings{BUT107112,
  author="Jan {Karásek} and Radim {Burget} and Václav {Uher} and Jan {Mašek} and Malay Kishore {Dutta}",
  title="Color Image (Dis)Similarity Assessment and Grouping based on Dominant Colors",
  booktitle="2014 37th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2015",
  pages="756--759",
  address="Berlin, Germany",
  doi="10.1109/TSP.2015.7296366",
  isbn="978-80-214-4983-1",
  url="https://ieeexplore.ieee.org/document/7296366"
}