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Detail publikačního výsledku
KARÁSEK, J.; BURGET, R.; UHER, V.; MAŠEK, J.; DUTTA, M.
Originální název
Color Image (Dis)Similarity Assessment and Grouping based on Dominant Colors
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
Categorization, Classification, Clustering, Computer Vision, Image Processing, Image Similarity Measure
Klíčová slova v angličtině
Autoři
Rok RIV
2016
Vydáno
09.07.2015
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" }