Adaptive Video Encoder for Network Bandwidth Drops in Real-Time Communication

Real-time communication (RTC) is crucial in digital life, with latency significantly affecting user experience. Latency spikes often occur due to mismatches between video codec bitrates and network capacity, especially during sudden bandwidth drops. Current video encoders adjust bitrates too slowly, increasing latency. This poster suggests that encoders should adapt more quickly to network changes by dynamically adjusting codec parameters, maintaining compression efficiency. Preliminary tests with the x264 codec show these strategies can reduce latency by 28.66% to 78.87% while slightly improving video quality by 0.8% to 3%.

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Published
2025-09-08
DOI
https://doi.org/10.1145/3744969.3748452
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
0.00

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article

Adaptive Video Encoder for Network Bandwidth Drops in Real-Time Communication

Meng Hua, Zili Meng, Xiangjie Huang
Image and Video Quality Assessment
article

Adaptive Video Encoder for Network Bandwidth Drops in Real-Time Communication

Meng Hua, Zili Meng, Xiangjie Huang
article en

Abstract

Real-time communication (RTC) is crucial in digital life, with latency significantly affecting user experience. Latency spikes often occur due to mismatches between video codec bitrates and network capacity, especially during sudden bandwidth drops. Current video encoders adjust bitrates too slowly, increasing latency. This poster suggests that encoders should adapt more quickly to network changes by dynamically adjusting codec parameters, maintaining compression efficiency. Preliminary tests with the x264 codec show these strategies can reduce latency by 28.66% to 78.87% while slightly improving video quality by 0.8% to 3%.

Hong Kong University of Science and Technology (HK)
National Science Foundation
Openalex Percentile: Top 77%
Image and Video Quality Assessment
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Adaptive Video Encoder for Network Bandwidth Drops in Real-Time Communication — Meng Hua, Zili Meng, et al. · (2025) | TGRS Research Map | TGRS