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Bilibili Tech
Bilibili Tech
Jan 16, 2024 · Industry Insights

How Bilibili Cuts Video Bandwidth: Theory and Practice of Transcoding Optimization

This article analyzes the fundamental goals of video transcoding, presents an information‑theoretic framework for bitrate reduction, compares traditional and deep‑learning codecs, and shares Bilibili's practical system design, parameter‑decision strategies, and visual‑quality‑aware optimizations that dramatically lower bandwidth consumption.

VMAFVideo Transcodingbandwidth optimization
0 likes · 24 min read
How Bilibili Cuts Video Bandwidth: Theory and Practice of Transcoding Optimization
Bilibili Tech
Bilibili Tech
Sep 27, 2022 · Artificial Intelligence

Comprehensive Video Quality Evaluation Practices at Bilibili: From Subjective and Objective Metrics to HDR Assessment

Bilibili’s comprehensive video‑quality framework merges ITU‑R BT.500 subjective MOS testing with objective metrics such as PSNR, SSIM, VMAF and NIQE—including HDR10 and HLG assessment—through a full capture‑to‑encoding workflow, addressing alignment and content‑specific challenges and delivering measurable QoE and speed gains across its platforms.

HDRPSNRQoE
0 likes · 24 min read
Comprehensive Video Quality Evaluation Practices at Bilibili: From Subjective and Objective Metrics to HDR Assessment
Bilibili Tech
Bilibili Tech
Jul 1, 2022 · Artificial Intelligence

Quality‑Controlled Scene‑Adaptive Video Transcoding System at Bilibili

Bilibili’s quality‑controlled scene‑adaptive transcoding system automatically splits videos into shot‑level segments, predicts optimal encoding parameters with a deep‑learning model, applies two‑pass VMAF‑targeted encoding and ROI‑aware bitrate allocation, achieving stable visual quality, 99% accuracy, and roughly 15% bitrate reduction.

Deep LearningROI encodingVMAF
0 likes · 25 min read
Quality‑Controlled Scene‑Adaptive Video Transcoding System at Bilibili