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Georgios Triantafyllidis
Researcher at Aalborg University – Copenhagen
Publications - 72
Citations - 658
Georgios Triantafyllidis is an academic researcher from Aalborg University – Copenhagen. The author has contributed to research in topics: Feature extraction & Engineering. The author has an hindex of 11, co-authored 66 publications receiving 552 citations. Previous affiliations of Georgios Triantafyllidis include Technological Educational Institute of Crete & Seoul National University.
Papers
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Book ChapterDOI
Reduction of blocking artifacts in block-based compressed images
TL;DR: A novel frequency domain technique for image blocking artifact reduction by minimizing a novel enhanced form of the Mean Squared Difference of Slope (MSDS) for every frequency separately.
Proceedings ArticleDOI
Watermarking Tests for Free-View Point Television
TL;DR: Tests were carried out to conclude to the best possible watermarking for free-view television, which should not only be resistant to common video processing and multi-view video processing operations, but also be extracted from a generated video for an arbitrary view.
Book ChapterDOI
Sketches in Embodied Interaction: Balancing Movement and Technological Perspectives
TL;DR: An approach for teaching and designing embodied interaction based on interactive sketches that has combined the mover perspective and felt experiences of movement with advanced technologies in a generative design session is presented.
Proceedings ArticleDOI
Watermark Selection for Light Field Rendering in FTV
TL;DR: This paper proposes a simple watermarking scheme that should not only be resistant to common video processing and multi-view video processing operations, it should also be extracted from a generated video for an arbitrary view and evaluates the performance of several watermarks according to their ability to survive in the new generated arbitrary view.
Proceedings ArticleDOI
Detection of occlusion and visible background and foreground areas in stereo image pairs
TL;DR: An efficient technique based on the Bayes test is introduced in this paper for the identification of the occlusion and visible background and foreground areas in a noisy stereoscopic image pair.