QoE Analysis for Videos with Adaptive Resolution Transcoding

Authors

DOI:

https://doi.org/10.14209/jcis.2025.11

Keywords:

QoE, TRICK, transcoding, video streaming

Abstract

Providing high-resolution video streaming services with a high Quality of Experience (QoE) for end users is a challenge today. This is due to limitations in both the hardware of user devices and the channel’s bandwidth. In parallel, there is a noticeable decrease in people’s attention span, which can make it difficult for them to perceive details on the screen. This paper introduces Transcoding Resolution Induced by Custom Keyframes (TRICK), an adaptive transcoding strategy that reduces the video resolution in frames where this reduction might not be noticed, saving bandwidth and possibly not compromising the QoE, which has a time complexity of O(N). An opinion survey compares videos with TRICK to videos in full 480p and 1080p. Videos with TRICK are liked by more than 84% of people, and offer a similar experience to that of 1080p videos, with savings of up to 18% in bandwidth in these transmissions.

Downloads

Download data is not yet available.

Author Biographies

Thalita P. da C. Ribeiro, Federal Center for Technological Education Celso Suckow da Fonseca (CEFET/RJ)

Thalita P. da C. Ribeiro received the B.Sc. degree in Telecommunications Engineering from the Federal Center for Technological Education Celso Suckow da Fonseca (CEFET/RJ) in 2023. Since 2024 she has been a Telecommunications Engineer at Intelsat. Her research interests are in image quality detection, video streaming applications, QoS in the Internet, and satellite communications.

Eduardo S. S. Coelho, Federal Center for Technological Education Celso Suckow da Fonseca (CEFET/RJ)

Eduardo S. S. Coelho received the B.Sc. degree in Telecommunications Engineering from the Federal Center for Technological Education Celso Suckow da Fonseca (CEFET/RJ) in 2023. Since 2024 he has been a Field Service Representative at Intelsat. His research interests are in image quality detection, video streaming applications, QoS in the Internet, and satellite communications.

Milena F. Pinto, Federal Center for Technological Education Celso Suckow da Fonseca (CEFET/RJ)

Milena F. Pinto is a professor of the Electronic Engineering course (CCGELT) and permanent professor in the Postgraduate departments in Electrical Engineering (PPEEL) and Instrumentation and Applied Optics (PPGIO), all at the Federal Center for Technological Education Celso Suckow da Fonseca (CEFET/RJ). She is currently a Young Scientist of Our State (FAPERJ). She was a visiting professor at the Polytechnic Institute of Bragança (IPB) in Portugal. She was an advisor for agreements and international relations at CEFET/RJ from June to November 2022. She was the coordinator of the Postgraduate Program PPGIO at CEFET/RJ-UFF from February to June 2022. She holds a postdoctoral, master's, and doctorate in Engineering Electrical from the Federal University of Juiz de Fora (UFJF), with a doctoral year at Technische Universität München. She holds a degree in control and automation engineering from the CEFET-MG. Her areas of interest are Artificial Intelligence, Embedded Electronics, Robotic Systems, ROS, Unmanned Aerial Vehicles, Data Processing, and Fog-Cloud Computing.

Gabriel F. C. de Queiroz, Federal Center for Technological Education Celso Suckow da Fonseca (CEFET/RJ)

Gabriel F. C. de Queiroz received the D.Sc. degree in Systems Engineering and Computer Science at the Federal University of Rio de Janeiro in 2024. Since 2018 he has been an adjunct professor at the Federal Center for Technological Education Celso Suckow da Fonseca. His research interests are in multi-access edge computing, application offloading schemes, network function virtualization, video streaming applications, QoS in the Internet, and mobile networks.

Downloads

Published

2025-12-05

How to Cite

Ribeiro, T. P. da C., Coelho, E. S. S., Pinto, M. F., & de Queiroz, G. F. C. (2025). QoE Analysis for Videos with Adaptive Resolution Transcoding. Journal of Communication and Information Systems, 40(1), 97–101. https://doi.org/10.14209/jcis.2025.11

Issue

Vol. 40 No. 1 (2025)

Section

Letters

License

Copyright (c) 2025 Thalita P. da C. Ribeiro, Eduardo S. S. Coelho, Milena F. Pinto, Gabriel F. C. de Queiroz (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish in this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

___________

Received 2025-03-20
Accepted 2025-11-12
Published 2025-12-05