CGJU
CGJU
April 22, 2026 ยท 4 min read

AI-Driven Video Encoding

Artificial intelligence is profoundly transforming the field of video encoding, evolving from traditional signal processing-based encoding to deep learning-based intelligent encoding. AI encoding not only significantly improves compression efficiency but also intelligently allocates bitrate based on content characteristics to optimize subjective video quality.

AV1 Adoption and H.266 Commercialization

In 2026, AV1 encoding has become standard for mainstream video platforms, saving approximately 50% bitrate compared to H.264 and about 30% compared to HEVC. Meanwhile, H.266/VVC (Versatile Video Coding) has also started commercialization in high-end applications, saving an additional 40-50% bitrate over HEVC at the same quality level.

  • AV1: Fully adopted by mainstream platforms like YouTube, Netflix, and Bilibili, with widespread hardware decoding support
  • H.266/VVC: Gradually being deployed in high-quality application scenarios such as broadcasting, 8K, and Blu-ray
  • Hardware Support: New-generation GPUs and mobile chips all have built-in AV1 hardware codecs

AI Encoding Optimization

Deep learning is increasingly widely applied in video encoding:

  • Intelligent Bitrate Allocation: Through content awareness, allocate more bitrate to important regions like faces and text
  • Perceptual Coding: Based on human visual models, reduce bitrate without compromising subjective quality
  • Super Resolution: Reduce resolution at the encoder, use AI super-resolution reconstruction at the decoder, significantly saving bandwidth
  • Inter-frame Prediction: Use neural networks to replace traditional motion estimation, improving compression efficiency

Neural Coding

End-to-end deep learning-based neural video coding is a cutting-edge research direction that has begun to be deployed in specific scenarios in 2026. Unlike traditional hybrid coding frameworks, neural coding implements the entire encoding process with neural networks, demonstrating remarkable subjective quality at very low bitrates.

Real-Time Rendering Technology

Advances in real-time rendering technology are blurring the boundaries between pre-recorded video and real-time generated content, bringing new possibilities to interactive video, virtual live streaming, cloud gaming, and other fields.

Real-Time Ray Tracing

With the improvement of GPU performance and the popularization of hardware ray tracing units, real-time ray tracing has expanded from gaming to video applications:

  • Virtual Anchors: Real-time rendered virtual characters with cinematic-quality visuals
  • Live Effects: Real-time addition of realistic lighting, reflections, and particle effects
  • AR Overlay: More natural light and shadow fusion of virtual objects with real scenes

Neural Radiance Fields (NeRF)

NeRF technology can generate 3D scenes from a small number of images. In 2026, real-time NeRF has become possible:

  • Free-Viewpoint Video: Viewers can freely switch viewing angles
  • Volumetric Video: 3D reconstruction and real-time transmission of real people
  • Virtual Scenes: Rapidly building interactive 3D virtual environments

AIGC Video Generation

AI-generated content (AIGC) experienced explosive growth in 2026, with both video generation quality and speed achieving qualitative leaps:

  • Text-to-Video: Input text descriptions, automatically generate high-quality video
  • Video Continuation: Intelligently generate subsequent content based on existing video clips
  • Digital Human Live Streaming: AI-driven digital humans conducting 24-hour uninterrupted live broadcasts
  • Intelligent Editing: AI automatically completes video editing, dubbing, and subtitle production

VR/AR Immersive Experience

Virtual reality and augmented reality technologies have become more mature in 2026, with immersive video experiences moving from early adoption to popularization.

8K VR and 12K Panorama

  • Resolution Improvement: Mainstream VR devices reach 4K per eye, panoramic video moves toward 12K
  • High Frame Rate: 90/120fps becomes standard, reducing motion sickness
  • 6DoF Video: Volumetric video with six degrees of freedom gradually being deployed

Spatial Audio

Immersive video cannot be separated from spatial audio technology:

  • Head Tracking: Sound direction changes in real time as the head rotates
  • 3D Sound Field: Ambisonics panoramic audio becomes standard for VR video
  • Personalized HRTF: Personalized spatial audio rendering based on ear models

AR Video

The popularization of AR glasses has given rise to new video forms:

  • Spatial Video: Stereoscopic video with depth information
  • Holographic Calls: Remote meetings presented as life-size holographic images
  • Virtual-Real Fusion: Seamless fusion of virtual content with the real world

Edge Computing Acceleration

Edge computing is becoming an important architecture for video services, sinking computing power closer to users, reducing latency and saving bandwidth.

Edge Transcoding

  • Proximity Processing: Complete video transcoding and adaptation at edge nodes
  • Low Latency: Reduce back-to-origin bandwidth and processing latency
  • Customization: Provide personalized output for different users and devices

Edge Rendering

Cloud gaming and cloud VR drive the development of edge rendering:

  • GPU Edge Nodes: Deploy GPU server clusters in various cities
  • Streaming Technology: Continuous optimization of low-latency video streaming protocols
  • Elastic Scheduling: Dynamically allocate the nearest edge node based on user location

Edge AI

AI inference is gradually sinking to the edge:

  • Real-Time Analysis: Video content understanding and object detection completed at the edge
  • Intelligent Caching: AI-based content prediction and pre-caching
  • Privacy Protection: Sensitive data processed locally, not uploaded to the cloud

8K Popularization Trend

8K ultra-high-definition video is accelerating its popularization in 2026, with the entire industry chain from production, transmission to display gradually maturing.

8K Content Production

  • 8K Cameras: Prices of professional-grade 8K cameras dropping
  • 8K Phones: Flagship phones generally support 8K video recording
  • AI Enhancement: AI restoration and quality enhancement breathe new life into old content

8K Transmission Challenges

The enormous bandwidth demand of 8K video drives advances in transmission technology:

  • Efficient Encoding: Codecs like AV1 and H.266 significantly reduce 8K transmission costs
  • 5G+ Networks: 5G-Advanced provides stable 8K live uplink bandwidth
  • CDN Optimization: CDN distribution strategies optimized for 8K scenarios

Display Upgrade

  • 8K TVs: Prices continue to drop, penetration rate rapidly increasing
  • VR Headsets: High-resolution VR devices indirectly driving demand for 8K content
  • Public Displays: Rich 8K application scenarios like outdoor large screens and exhibitions

Cloud Gaming and Cloud Video

The technical concepts of cloud gaming are penetrating the entire video field, and cloud video has become a new industry direction.

Cloud Gaming Maturity

  • AAA Games on Cloud: Experience top-tier games without high-end equipment
  • Latency Reduction: Edge computing + fast codecs, latency controlled within 20ms
  • Interactive Video Convergence: The boundary between games and video is increasingly blurred

Cloud Video Concept Expansion

Cloud video is not just about moving video to the cloud, but a transformation of the entire video production and consumption model:

  • Cloud Editing: Cloud-based professional editing software, film-level production completed in the browser
  • Cloud Monitoring: Cloud-based collaboration and monitoring for professional production workflows
  • Cloud Rendering: Effects rendering and animation production all completed in the cloud
  • Instant Use: Video applications run in the cloud, no download required

Technology Outlook

Looking ahead, video technology will continue to deepen development in the following directions:

1. Smarter

AI will be deeply integrated into all aspects of video technology, from capture, encoding, transmission to playback, with full-chain intelligence. AI is no longer just an auxiliary tool but has become the core driving force of video technology.

2. More Immersive

From flat video to stereoscopic video, from one-way viewing to free-viewpoint interaction, the video experience will become increasingly immersive and interactive. The popularization of VR/AR/MR devices will give birth to entirely new video forms.

3. More Real-Time

Technologies like 5G/6G, edge computing, and low-latency encoding collectively drive continuous reduction in video latency. Real-time interactive video will become mainstream, and the line between live and recorded broadcasts will gradually disappear.

4. More Efficient

Encoding efficiency continues to improve, requiring less and less bandwidth for the same image quality. At the same time, the computing efficiency of video processing is also constantly improving, completing more calculations with less energy.

5. More Integrated

Video technology is deeply intertwined with AI, graphics, communications, display, and other disciplines. Video is no longer just a medium for recording and dissemination, but an important interface connecting virtual and reality, human-computer interaction.

Summary

2026 is a pivotal year for video technology. AI encoding makes video more efficient, real-time rendering makes content more vivid, immersive experience makes viewing more immersive, edge computing makes services closer to users, 8K makes image quality clearer, and cloud video makes production more convenient.

As video technology professionals, we are in an exciting era. The speed of technological iteration continues to accelerate, and new application scenarios continue to emerge. Only by maintaining learning and embracing change can we seize opportunities in this technological transformation. The future has arrived; let us look forward to more surprises brought by video technology together.

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