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Motion Magnification for Urban Buildings
, 2018 Vibration monitoring of buildings in the urban environment is a relevant issue for health survey and early damaging detection in sustainable and enhanced resilient cities. To this end, we explore the potentialities of vibration monitoring by motion magnification analysis that acts like a microscope for motion in video sequences, but affecting only some
Vincenzo Fioriti +4 more
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Interest Region Based Motion Magnification
, 2017 In this paper, we proposed a method known as interest region based motion magnification for amplification of invisible motions. This method enables one to magnify subtle motion in the video for specific objects of interest to the user. To achieve this task, we have used object extraction using kernel K-means approach, automatic scribble drawing using ...
Manisha Verma, Shanmuganathan Raman
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Saliency Driven Video Motion Magnification
, 2018 The main goal of the proposed work is to detect certain spatial and temporal changes in videos that are not visible to the human eye and magnify them in order to make them perceptible while making sure that the background noise is not amplified. We apply Eulerian motion magnification on only the salient area of each frame of the video.
Manisha Verma +2 more
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Depth-Aware Motion Magnification
Lecture Notes in Computer Science, 2016This paper adds depth to motion magnification. With the rise of cheap RGB+D cameras depth information is readily available. We make use of depth to make motion magnification robust to occlusion and large motions. Current approaches require a manual drawn pixel mask over all frames in the area of interest which is cumbersome and error-prone.
Julian F P Kooij, Jan Van Gemert
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Ancient monuments analysis by motion magnification
, 2019 A new methodology for digital image processing, namely the Motion Magnification, allows to magnify small displacements of large structures. Motion magnification acts like a microscope for motion in video sequences, but affecting only some groups of pixels. The processed videos unveil motions hardly visible with the naked eye.
Fioriti, V. +4 more
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STB-VMM: Swin Transformer based Video Motion Magnification
Knowledge-Based Systems, 2023 The goal of video motion magnification techniques is to magnify small motions in a video to reveal previously invisible or unseen movement. Its uses extend from bio-medical applications and deepfake detection to structural modal analysis and predictive ...
Ricard Lado-Roigé, Marco A Perez
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ACM SIGGRAPH 2005 Papers, 2005
We present motion magnification, a technique that acts like a microscope for visual motion. It can amplify subtle motions in a video sequence, allowing for visualization of deformations that would otherwise be invisible. To achieve motion magnification, we need to accurately measure visual motions, and group the pixels to be modified.
Ce Liu +4 more
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We present motion magnification, a technique that acts like a microscope for visual motion. It can amplify subtle motions in a video sequence, allowing for visualization of deformations that would otherwise be invisible. To achieve motion magnification, we need to accurately measure visual motions, and group the pixels to be modified.
Ce Liu +4 more
openaire +1 more source
Motion magnification for endoscopic surgery
SPIE Proceedings, 2014Endoscopic and laparoscopic surgeries are used for many minimally invasive procedures but limit the visual and haptic feedback available to the surgeon. This can make vessel sparing procedures particularly challenging to perform. Previous approaches have focused on hardware intensive intraoperative imaging or augmented reality systems that are ...
A. Jonathan McLeod +3 more
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Exposing AI-generated videos with motion magnification
Multimedia Tools and Applications, 2020Recent progress of artificial intelligence makes it easier to edit facial movements in videos or create face substitutions, bringing new challenges to anti-fake-faces techniques. Although multimedia forensics provides many detection algorithms from a traditional point of view, it is increasingly hard to discriminate the fake videos from real ones while
Jianwei Fei +3 more
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