New Video Creation and Streaming Features Accelerated by the NVIDIA Video Codec SDK

For over a decade, NVIDIA GPUs have been built with dedicated encoders and decoders called NVENC and NVDEC. They have a highly parallelized architecture…

Prathap Muthana
7 min readadvanced
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Overview

The article discusses the new features introduced in NVIDIA's Video Codec SDK 12.1, focusing on GPU-accelerated video processing through NVENC and NVDEC. It highlights advancements such as split-frame encoding and low-level APIs for H.264, HEVC, and AV1, which enhance video creation and streaming capabilities.

What You'll Learn

1

How to implement split-frame encoding using NVIDIA Video Codec SDK

2

Why using CABR can significantly reduce video file sizes while maintaining quality

3

When to utilize low-level APIs for fine control over video encoding

Prerequisites & Requirements

  • Understanding of video encoding concepts
  • Familiarity with NVIDIA Video Codec SDK(optional)

Key Questions Answered

What is split-frame encoding and how does it improve video processing?
Split-frame encoding allows an input frame to be divided and processed in parallel by multiple NVENCs, resulting in significant speed improvements over traditional sequential encoding methods. This feature is particularly effective for high-resolution video formats like 4K and 8K.
How does CABR optimize video compression on NVIDIA GPUs?
CABR technology enables the generation of compressed videos with perceptually identical quality to the original, achieving up to 50% compression gain without specifying a bit rate. This is particularly beneficial for user-generated content where storage costs can be significantly reduced.
What are the benefits of using low-level APIs in Video Codec SDK?
Low-level APIs in Video Codec SDK provide developers with fine control over the internal state of the hardware encoder, allowing for features like iterative encoding and external lookahead, which can enhance encoding quality and efficiency.
What improvements does the LCEVC standard bring to cloud streaming?
The Low Complexity Enhancement Video Coding (LCEVC) standard allows for lower bitrates while maintaining video quality, making it ideal for cloud gaming and VR applications. It reduces latency and computational load, enabling efficient streaming to lightweight devices.

Key Statistics & Figures

Compression savings with CABR
30% - 40%
These savings can significantly reduce storage needs, especially in scenarios with millions of streams.
Potential compression gain with CABR-NVENC
up to 50%
This applies when optimizing video without specifying a bit rate, ensuring perceptually identical quality.
Speedup with LCEVC on NVIDIA GPUs
10x
This speedup is achieved compared to CPU implementations, making it suitable for real-time applications.

Technologies & Tools

Software
Nvidia Video Codec SDK
Used for high-performance video encoding and decoding.
Video Standard
Lcevc
Enhances video streaming capabilities on NVIDIA GPUs.

Key Actionable Insights

1
Implementing split-frame encoding can drastically improve your video processing speed, especially for high-resolution content.
This is particularly useful when working with 4K and 8K video formats, as it allows for parallel processing and reduces the time required for encoding.
2
Utilizing CABR can lead to significant storage savings while maintaining video quality, making it an essential tool for content creators.
This is especially relevant for organizations that handle large volumes of video content, as it can reduce costs associated with storage and bandwidth.
3
Leveraging low-level APIs can enhance the control over video encoding processes, allowing for better optimization of video quality.
This is crucial for applications that require high fidelity in video output, such as professional video editing and streaming services.

Common Pitfalls

1
Failing to leverage the new split-frame encoding feature can lead to slower video processing times.
Many developers may continue using traditional encoding methods without realizing the performance benefits of parallel processing available through the Video Codec SDK.
2
Not utilizing CABR can result in unnecessarily large video files and increased storage costs.
Organizations may overlook CABR's capabilities, leading to higher operational expenses when managing large volumes of video content.

Related Concepts

Video Encoding Techniques
GPU Acceleration In Video Processing
Advanced Video Compression Standards