Emotion Assessment of YouTube Videos using Color Theory-Reference-Cited by-同舟云学术

Emotion Assessment of YouTube Videos using Color Theory

Published:2024-04-20 Issue: Volume:366 Page:6-14
ISSN:
Container-title:Proceedings of the 2024 9th International Conference on Multimedia and Image Processing
language:
Short-container-title:

Author:

Cakmak Mert Can¹^ORCID,Shaik Mainuddin¹^ORCID,Agarwal Nitin¹^ORCID

Affiliation:

1. COSMOS Research Center, University of Arkansas at Little Rock, USA

Funder

U.S. National Science Foundation

U.S. Defense Advanced Research Projects Agency

Arkansas Research Alliance, the Jerry L. Maulden Entergy Endowment at the University of Arkansas at Little Rock, and the Australian Department of Defense Strategic Policy Grants Program (SPGP)

U.S. Office of Naval Research

U.S. Office of the Under Secretary of Defense for Research and Engineering

U.S. Air Force Research Laboratory, U.S. Army Research Office

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3665026.3665028

Reference47 articles.

1. Eren Alp, Bedirhan Gergin, Yiğit Ahmet Eraslan, Mert Can Çakmak, and Reda Alhajj. 2022. Covid-19 and Vaccine Tweet Analysis. In Social Media Analysis for Event Detection. Springer, 213–229.

2. Dayo Samuel Banjo, Connice Trimmingham, Niloofar Yousefi, and Nitin Agarwal. 2022. Multimodal Characterization of Emotion within Multimedia Space. International Conference on Computers and Computation (COMPUTE 2022) (2022).

3. Steven Bleicher. 2023. Contemporary color: Theory and use. Routledge.

4. Mert Can Cakmak and Nitin Agarwal. 2024. High-Speed Transcript Collection on Multimedia Platforms: Advancing Social Media Research through Parallel Processing. In 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE. Accepted for presentation.

5. Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The bias beneath: analyzing drift in YouTube’s algorithmic recommendations;Social Network Analysis and Mining;2024-08-24

2. Examining Multimodel Emotion Assessment and Resonance with Audience on YouTube;Proceedings of the 2024 9th International Conference on Multimedia and Image Processing;2024-04-20

3. Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics;Lecture Notes in Computer Science;2024