Interactive Evolutionary Parameter Optimization for Eulerian Video Magnification

Rizvi, Syed Raazi; Rahnamayan, Shahryar

doi:10.1109/ssci.2018.8628652

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…The Index differential mean opinion score (DMOS) based on this approach is presented in [ 50 ] to illustrate an increase in image quality, thanks to the application of the interest region-based motion magnification method, in relation to classic EVM. The inclusion of the interaction with a human observer to the assessment was applied in [ 80 ] to optimize the video magnification process parameters. An example of the improvement of image quality due to a correction of the amplification factor in relation to those suggested in other studies, presented in the study, takes place after approx.…”

Section: Discussionmentioning

confidence: 99%

Motion Magnification of Vibration Image in Estimation of Technical Object Condition-Review

Śmieja

Mamala

Prażnowski

et al. 2021

Sensors

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One of the most important features of the proper operation of technical objects is monitoring the vibrations of their mechanical components. The currently significant proportion of the research methods in this regard includes a group of research methods based on the conversion of vibrations using sensors providing data from individual locations. In parallel with the continuous improvement of these tools, new methods for acquiring information on the condition of the object have emerged due to the rapid development of visual systems. Their actual effectiveness determined the switch from research laboratories to actual industrial installations. In many cases, the application of the visualization methods can supplement the conventional methods applied and, under particular conditions, can effectively replace them. The decisive factor is their non-contact nature and the possibility for simultaneous observation of multiple points of the selected area. Visual motion magnification (MM) is an image processing method that involves the conscious and deliberate deformation of input images to the form that enables the visual observation of vibration processes which are not visible in their natural form. The first part of the article refers to the basic terms in the field of expressing motion in an image (based on the Lagrangian and Eulerian approaches), the formulation of the term of optical flow (OF), and the interpretation of an image in time and space. The following part of the article reviews the main processing algorithms in the aspect of computational complexity and visual quality and their modification for applications under specific conditions. The comparison of the MM methods presented in the paper and recommendations for their applications across a wide variety of fields were supported with examples originating from recent publications. The effectiveness of visual methods based on motion magnification in machine diagnosis and the identification of malfunctions are illustrated with selected examples of the implementation derived from authors’ workshop practice under industrial conditions.

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Section: Discussionmentioning

confidence: 99%

Motion Magnification of Vibration Image in Estimation of Technical Object Condition-Review

Śmieja

Mamala

Prażnowski

et al. 2021

Sensors

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“…The paired comparison-based IDE was used in the previous studies to create content related to a sense of hearing [12,13]. Furthermore, the paired comparisonbased IDE was also used in the creation of content related to other senses [19,20].…”

Section: Interactive Differential Evolutionmentioning

confidence: 99%

Making an English Speech Similar to the User’s Voice using UTAU and Interactive Differential Evolution

Miyamoto

Gan

FUKUMOTO

2023

IJAE

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Practicing English pronunciation is difficult for non-native speakers because of the differences in vowels and consonants. There are several ways to practice them such as Shadowing, however, if the voice's features greatly differ from the learner's voice, it should be difficult for learners to reproduce. To solve this problem, we propose a method to make the pronunciation data of the model pronunciation similar to the learner's voice by using UTAU and Interactive Differential Evolution. A listening experiment was conducted with the concrete system of IDE and UTAU. Twelve examinees participated in the experiment through ten generations based on paired comparisons for making the voices similar to their own voices inside their heads. As a result, we could successfully make the voices similar to the examinees' voices. Since it has paired comparison, we believe that the paired comparison-based IDE is a better method than the general Interactive Genetic Algorithm with scoring.

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Resource Optimization of the Eulerian Video Magnification Algorithm Towards an Embedded Architecture

2021

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Interactive Evolutionary Parameter Optimization for Eulerian Video Magnification

Cited by 3 publications

References 32 publications

Motion Magnification of Vibration Image in Estimation of Technical Object Condition-Review

Motion Magnification of Vibration Image in Estimation of Technical Object Condition-Review

Making an English Speech Similar to the User’s Voice using UTAU and Interactive Differential Evolution

Resource Optimization of the Eulerian Video Magnification Algorithm Towards an Embedded Architecture

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