
Multifractal analysis of multiview 3D video with different quantization parameters applying histogram method
Author(s) -
Amela Zeković,
Irini Reljin
Publication year - 2014
Publication title -
serbian journal of electrical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.133
H-Index - 5
eISSN - 2217-7183
pISSN - 1451-4869
DOI - 10.2298/sjee131130003z
Subject(s) - multifractal system , histogram , artificial intelligence , computer vision , quantization (signal processing) , computer science , mathematics , pattern recognition (psychology) , fractal , image (mathematics) , mathematical analysis
In this paper, multifractal properties of multiview 3D video are determined. Multifractal spectra are determined by using the histogram method. For the analysis of multiview video, long video traces are used, for multiview video with two views. Differences between multifractal properties of different views of multiview video and different types of frames are highlighted. Additional analysis was performed for the left view of multiview 3D videos for different quantization parameters of the frames