Algorithmic approaches to bitstream optimization in real-time video services

Authors

  • Anton Sorokun State University of Information and Communication Technologies
  • Tatiana Meleshko State University of Information and Communication Technologies
  • Yurii Zadontsev State University of Information and Communication Technologies
  • Viacheslav Treitiak State University of Information and Communication Technologies
  • Dmytro Chyrva Department of Technical Information Protection, State University “Kyiv Aviation Institute" 03058, 1 Liubomyr Huzar Ave., Kyiv, Ukraine

DOI:

https://doi.org/10.19139/soic-2310-5070-3266

Keywords:

bit rate, composition, encoding, optimization, video surveillance systems

Abstract

The article examines a deterministic content-dependent approach to optimising the bitstream in real-time video services, aimed at improving coding efficiency under conditions of limited computing resources and variable network bandwidth. The purpose of the research is to create a universal model that ensures a stable bit rate and bit load reduction without degrading perceptual quality. The proposed methods are based on the integration of the significant coordinate luminance (SCL) and non-uniform linear scaling (NLS) components into the filled code structures of fixed length , which allows to eliminate local redundancy and balance the bit distribution in accordance with the spatial and temporal coherence of scenes. The developed model adaptively adjusts the quantisation parameters, which ensures robustness to dynamic changes in frame complexity and object motion. Experimental results on the HEVC Class B, UVG and Xiph sets confirm a 14-15% reduction in BD-Rate compared to HEVC, maintaining perceptual quality at VMAF (Video Multi-Method Assessment Fusion) ≥ 93 and reducing the average delivery delay by more than half compared to JPEG2000. An analytical evaluation showed a 7-12-fold reduction in computational complexity, allowing this method to be used in mobile, embedded, and low-frequency real-time systems.

Downloads

Published

2026-06-26

How to Cite

Sorokun, A., Meleshko, T. ., Zadontsev, Y. ., Treitiak, V. ., & Chyrva, D. (2026). Algorithmic approaches to bitstream optimization in real-time video services. Statistics, Optimization & Information Computing, 16(2), 1509–1520. https://doi.org/10.19139/soic-2310-5070-3266

Issue

Vol. 16 No. 2 (2026)

Section

Research Articles

License

Copyright (c) 2026 Anton Sorokun, Tatiana Meleshko, Yurii Zadontsev, Viacheslav Treitiak, Dmytro Chyrva

Creative Commons License

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

Authors who publish with 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 Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to 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 acknowledgement 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) prior to 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).