Each major codec generation has typically delivered ~30–50% bitrate reduction at equivalent perceptual quality.
A high-quality 4K movie that might be 10–30+ GB today could plausibly drop to a few GB or even lower (hundreds of MB in optimistic far-future scenarios for many titles), especially for mainstream content. 100 movies might then total only a few hundred GB instead of terabytes.
How video encoding has evolved to better quality and compression of the file size?
Video encoding has evolved through successive generations of standards and techniques that roughly double compression efficiency (or cut bitrate ~30–50% at the same perceptual quality) every decade or so, while supporting higher resolutions, frame rates, HDR, and more complex content. This progress comes from refinements in prediction, transform coding, entropy coding, in-loop filtering, and larger/more flexible block structures—enabled by rising computational power.
Research continues into AI/neural network-based coding (learned compression), which can further improve efficiency but currently has high complexity and limited standardization. Hybrid approaches and tools like LCEVC (enhancement layers) also help bridge generations. Overall, the trajectory remains the same: higher quality at lower bitrates/file sizes, driven by algorithmic sophistication and available computing power, enabling 4K/8K streaming, immersive video, and efficient storage on constrained networks and devices.
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