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How large-scale AI drives the evolution of video encoding to intelligent understanding
Hundreds of millions of security cameras operate 24/7 worldwide, and the industry-wide shift to HD and 4K+ resolutions—combined with expanding channel counts and longer retention mandates—is fueling explosive growth in video storage. Meanwhile, hard drive prices remain unstable and enterprise storage budgets keep climbing. Compounding this pressure, conventional encoding applies uniform compression to every pixel, treating empty backgrounds and critical targets identically. With roughly 70% of video security footage consisting of static or low-value scenes, this one-size-fits-all approach wastes enormous storage on non-essential content.
The next evolution moves beyond compression toward AI-powered semantic analysis. Technologies like Hikvision’s Guanlan Encoding leverage large-scale visual AI models to enable selective compression based on regions of interest (ROI). Critical targets such as people and vehicles retain high-definition detail, while static backgrounds undergo aggressive compression, drastically reducing storage without sacrificing essential information.
SourceSecurity.com and Hikvision have collaborated to release a new white paper examining how intelligent video encoding, powered by large-scale AI, is redefining storage efficiency and video usability.
Key benefits of large-scale AI-powered video encoding:
AI-driven encoding transforms video security from passive, uniform recording into proactive, content-aware storage—reducing operational costs, optimizing bandwidth, and enhancing forensic accuracy.
Download the full white paper to discover how intelligent encoding shifts video encoding from a one-size-fits-all solution toward an intelligent, encode-on-demand approach.
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