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How Large-Scale AI Models Transform Video Encoding into Intelligent Understanding
AI-powered video encoding is an intelligent compression architecture that integrates large-scale visual models into the encoding pipeline to apply selective, on-demand pixel compression based on real-time content understanding, dramatically reducing video storage costs.
Traditional video encoding processes raw video uniformly into standard digital formats; however, treating every pixel equally severely strains infrastructure and inflates costs under explosive security video storage growth. To address this, the next evolutionary step moves beyond encoding alone toward AI-powered content understanding. By integrating large-scale visual models directly into the compression pipeline, solutions like Hikvision’s Guanlan Encoding can help organizations dramatically reduce storage costs by up to 50% while preserving the clarity of critical targets.
Video storage faces several market challenges in the current business environment, ranging from explosive video storage growth and rising infrastructure costs to inefficient compression methods.
Guanlan Encoding is an intelligent video compression technology that integrates Hikvision’s large-scale AI models directly into the encoding pipeline. It moves beyond conventional encoding toward intelligent content understanding.
Instead of treating every pixel equally, Guanlan Encoding identifies key targets within a scene—like people and vehicles—and applies selective compression. It preserves high-definition details for high-value objects while applying ultra-high compression to redundant background information. This approach reduces bitrates and achieves "on-demand encoding," directly slashing video storage costs for customers.
Guanlan Encoding technology delivers quantifiable benefits for security systems:
Guanlan Encoding achieves on-demand compression by transforming the encoding process through a combination of AI-driven capabilities that intelligently distinguish high-value visual information from redundant background, ensuring optimal bitrate allocation across every frame.
Built upon the H.265 (HEVC) or H.264 international standard, the output of Guanlan Encoding is a compliant standard-encoded video stream that balances image quality and efficiency, while ensuring compatibility with both Hikvision and third-party devices.
AI-driven video encoding enables the industry to transition from passive, uniform recording to proactive, content-aware storage. The result is not just improved storage efficiency, but lower operational costs, real-time bandwidth optimization, and greater forensic accuracy.
Download the latest white paper, developed by SourceSecurity.com in collaboration with Hikvision, exploring how AI-enhanced video encoding technologies evolve from simple compression to intelligent content understanding.
No. Guanlan Encoding dynamically adjusts only the quantization parameters (QP) of non-critical background areas. The original pixel content, timestamps, frame rates, and stream resolutions remain completely intact, ensuring absolute cryptographic and legal integrity for forensic video evidence.
Yes. Because Guanlan Encoding strictly adheres to international H.264 and H.265 (HEVC) compression standards, its output is a fully compliant standard stream. It requires no specialized proprietary plug-ins and can be seamlessly decoded by both Hikvision and third-party media servers or downstream devices.
Yes. Analog cameras can be connected directly to the new technology without replacing platforms or devices — simply by connecting to a Guanlan Encoding DVR. There are no special requirements for camera parameters. For renovation projects utilizing existing cameras, deploying Guanlan Encoding back-end equipment offers the highest cost-performance ratio, protecting existing investments.
Guanlan Encoding is integrated into Hikvision DeepinView(X)-Series Network and PTZ Cameras, Ultra-Series Cameras, and Cameras with ColorVu 3.0, with continued expansion to more product lines. It is also available in digital video recorders (DVRs), allowing customers to apply intelligent compression to video streams from legacy analog cameras.
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