Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

A Comparative Analysis on Predicting Emotions from Images And Videos Based on Colors Using Machine Learning

Authors
Pydala Bhasha1, *, Pothamsetty Samatha2, Palagiri Subramanyam2, Telugu Lakshmi Venkata Prabhas2, S. Panchajanya2, V. Jyothsna1
1Department of DS, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Tirupati, India
2UG Scholar, Department of IT, Mohan Babu University (Erstwhile Sree VidyanikethanEngineering College), Tirupati, India
*Corresponding author. Email: Basha.chanti@gmail.com
Corresponding Author
Pydala Bhasha
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_26How to use a DOI?
Keywords
Color-emotion; Target emotion; machine learning algorithms
Abstract

This aims at predicting emotions from images and videos based on the colors using machine learning. The primary objective of this study is to develop an effective algorithm that, upon receiving image or video input, accurately predicts the underlying emotions present in the visual content. The methodology involves the utilization of CNNs to extract intricate color patterns and spatial information from the uploaded images and video frames. The color features are crucial in capturing the nuanced emotional cues expressed through visual content. The model is trained on a diverse dataset containing annotated emotions associated with various color representations. The proposed approach demonstrates promising results in accurately predicting emotions from visual content, highlighting the efficacy of CNNs in capturing intricate color-emotion relationships. This research contributes to the development of user-friendly emotion prediction tools with applications in diverse domains, including content recommendation systems, user experience personalization, and multimedia analytics. The abstract concludes with insights into the potential advancements and applications of CNN-based color analysis for emotion prediction in visual media.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
978-94-6463-471-6
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_26How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Pydala Bhasha
AU  - Pothamsetty Samatha
AU  - Palagiri Subramanyam
AU  - Telugu Lakshmi Venkata Prabhas
AU  - S. Panchajanya
AU  - V. Jyothsna
PY  - 2024
DA  - 2024/07/30
TI  - A Comparative Analysis on Predicting Emotions from Images And Videos Based on Colors Using Machine Learning
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 264
EP  - 274
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_26
DO  - 10.2991/978-94-6463-471-6_26
ID  - Bhasha2024
ER  -