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Digital Image Watermarking Using Sine Transform Technique Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Response Analysis of Eulerian Video Magnification

Authors : S. Ramya Marie, J. Anudev

Published in: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Publisher: Springer International Publishing

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Abstract

The human eye has a very high optical resolution making it one of the most astonishing curiosities of the world. However, its spatial resolution is not good enough to capture everything happening around it, and it can miss out minor details, which can be termed as hidden movements. The hidden movements can be due to the extremely high speed of the visual, very small movements, long-term physical process, etc. Eulerian video magnification is a spatiotemporal video processing algorithm that can reveal hidden details that are otherwise hidden to naked eyes. In this process, a standard video sequence is spatially decomposed, and temporal filtering of the frames is done. The data so obtained as output can be used in many fields such as biomedical instrumentation, remote surveillance, etc. Here, an analysis has been done on Eulerian Video Magnification (EVM), for different video resolutions to understand its reliability.

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Metadata
Title
Response Analysis of Eulerian Video Magnification
Authors
S. Ramya Marie
J. Anudev
Copyright Year
2019
Book
Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Print ISBN: 978-3-030-00664-8

Electronic ISBN: 978-3-030-00665-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-00665-5_66