D
Dimitrios Tzovaras
Researcher at Information Technology Institute
Publications - 814
Citations - 9128
Dimitrios Tzovaras is an academic researcher from Information Technology Institute. The author has contributed to research in topics: Computer science & Motion estimation. The author has an hindex of 40, co-authored 691 publications receiving 6540 citations. Previous affiliations of Dimitrios Tzovaras include Aristotle University of Thessaloniki & University of Western Macedonia.
Papers
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Use of depth and colour eigenfaces for face recognition
TL;DR: The proposed face recognition technique is based on the implementation of the principal component analysis algorithm and the extraction of depth and colour eigenfaces and Experimental results show significant gains attained with the addition of depth information.
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Lossless image compression based on optimal prediction, adaptive lifting, and conditional arithmetic coding
TL;DR: The optimal predictors of a lifting scheme in the general n-dimensional case are obtained and applied for the lossless compression of still images using first quincunx sampling and then simple row-column sampling, and the best of the resulting coders produces better results than other known algorithms for multiresolution-based lossless image coding.
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COVID-19 Mobile Apps: A Systematic Review of the Literature.
Haridimos Kondylakis,Dimitrios G. Katehakis,Angelina Kouroubali,Fokion Logothetidis,Andreas Triantafyllidis,Ilias Kalamaras,Konstantinos Votis,Dimitrios Tzovaras +7 more
TL;DR: Mobile apps are considered to be a valuable tool for citizens, health professionals, and decision makers in facing critical challenges imposed by the pandemic, such as reducing the burden on hospitals, providing access to credible information, tracking the symptoms and mental health of individuals, and discovering new predictors.
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Blocking artifact detection and reduction in compressed data
TL;DR: A novel frequency-domain technique for image blocking artifact detection and reduction is presented and experimental results illustrating the performance of the proposed method are presented and evaluated.
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Object-based coding of stereo image sequences using joint 3-D motion/disparity compensation
TL;DR: An object-based coding scheme is proposed for the coding of a stereoscopic image sequence using motion and disparity information and the use of the depth map information for the generation of intermediate views at the receiver is discussed.