國立虎尾科技大學 |

Understanding Perceived Sense of Movement in Static Visuals Using Deep Learning.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Understanding Perceived Sense of Movement in Static Visuals Using Deep Learning./
Author:	Kale, Shravan.
Description:	1 online resource (97 pages)
Notes:	Source: Masters Abstracts International, Volume: 80-05.
Contained By:	Masters Abstracts International80-05.
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9780438693234

Understanding Perceived Sense of Movement in Static Visuals Using Deep Learning.
Kale, Shravan.

Understanding Perceived Sense of Movement in Static Visuals Using Deep Learning. - 1 online resource (97 pages)

Source: Masters Abstracts International, Volume: 80-05.

Thesis (M.S.)--University of Oregon, 2018.

Includes bibliographical references

This thesis introduces the problem of learning the representation and the classification of the perceived sense of movement, defined as dynamism in static visuals. To solve the said problem, we study the definition, degree, and real-world implications of dynamism within the field of consumer psychology. We employ Deep Convolutional Neural Networks (DCNN) as a method to learn and predict dynamism in images. The novelty of the task, lead us to collect a dataset which we synthetically augmented for spatial invariance, using image processing techniques. We study the methods of transfer learning to transfer knowledge from another domain, as the size of our dataset was deemed to be inadequate. Our dataset is trained across different network architectures, and transfer learning techniques to find an optimal method for the task at hand. To show a real-world application of our work, we observe the correlation between the two visual stimuli, dynamism and emotions.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9780438693234Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Computer visionIndex Terms--Genre/Form:

554714
Electronic books.

Understanding Perceived Sense of Movement in Static Visuals Using Deep Learning.
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