18669986. Spatial Layer Rate Allocation simplified abstract (Google LLC)
Contents
Spatial Layer Rate Allocation
Organization Name
Inventor(s)
Michael Horowitz of Austin TX (US)
Rasmus Brandt of Mountain View CA (US)
Spatial Layer Rate Allocation - A simplified explanation of the abstract
This abstract first appeared for US patent application 18669986 titled 'Spatial Layer Rate Allocation
The method described in the abstract involves optimizing bit rate allocation for different spatial layers in a video signal to reduce distortion and improve quality.
- Receiving transform coefficients for a scaled video input signal with multiple spatial layers, including a base layer.
- Determining a spatial rate factor based on frames from the video input signal to allocate bit rates effectively.
- The spatial rate factor is calculated as the difference between the base layer's bit rate per transform coefficient and the average bit rate per transform coefficient.
- Allocating bit rates to each spatial layer based on the spatial rate factor and frame samples to minimize distortion.
- Improving video quality by adjusting bit rate allocation across spatial layers.
- Potential Applications:
This technology can be applied in video streaming services, video conferencing systems, surveillance systems, and any application where video quality and bit rate allocation are crucial.
- Problems Solved:
- Efficient bit rate allocation for different spatial layers in video signals. - Minimizing distortion and improving video quality. - Enhancing the viewing experience for users across various platforms.
- Benefits:
- Enhanced video quality with optimized bit rate allocation. - Reduced distortion in video signals. - Improved user experience with better quality videos.
- Commercial Applications:
Title: Enhanced Video Quality Technology for Streaming Services This technology can be utilized by streaming platforms like Netflix, YouTube, and Amazon Prime Video to deliver high-quality video content to users. It can also benefit video conferencing companies like Zoom and Microsoft Teams to improve video quality during calls.
- Prior Art:
Prior art related to this technology may include research papers on video compression techniques, bit rate allocation algorithms, and video quality enhancement methods.
- Frequently Updated Research:
Researchers are constantly exploring new algorithms and techniques to further optimize bit rate allocation in video signals and improve video quality. Stay updated on the latest advancements in video compression technology to enhance your understanding of this field.
- Questions about Video Quality Optimization:
1. How does this technology impact video streaming services?
- This technology significantly improves video quality in streaming services by optimizing bit rate allocation for different spatial layers.
2. What are the key factors influencing bit rate allocation in video signals?
- Factors such as spatial rate factor, transform coefficients, and frame samples play a crucial role in determining the optimal bit rate allocation for each spatial layer.
Original Abstract Submitted
A method includes receiving transform coefficients corresponding to a scaled video input signal, the scaled video input signal including a plurality of spatial layers that include a base layer. The method also includes determining a spatial rate factor based on a sample of frames from the scaled video input signal. The spatial rate factor defines a factor for bit rate allocation at each spatial layer of an encoded bit stream formed from the scaled video input signal. The spatial rate factor is represented by a difference between a rate of bits per transform coefficient of the base layer and an average rate of bits per transform coefficient. The method also includes reducing a distortion for the plurality of spatial layers by allocating a bit rate to each spatial layer based on the spatial rate factor and the sample of frames.
