Microsoft technology licensing, llc (20240195972). ADAPTIVE QUANTIZATION FOR ENHANCEMENT LAYER VIDEO CODING simplified abstract

ADAPTIVE QUANTIZATION FOR ENHANCEMENT LAYER VIDEO CODING

Organization Name

microsoft technology licensing, llc

Inventor(s)

Shankar Regunathan of Bellevue WA (US)

Shijun Sun of Redmond WA (US)

Chengjie Tu of Sammamish WA (US)

Chih-Lung Lin of Redmond WA (US)

ADAPTIVE QUANTIZATION FOR ENHANCEMENT LAYER VIDEO CODING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240195972 titled 'ADAPTIVE QUANTIZATION FOR ENHANCEMENT LAYER VIDEO CODING

The abstract discusses techniques and tools for encoding enhancement layer video with spatially varying quantization and quantization that varies between color channels. Corresponding decoding techniques and tools are also presented.

• Encoding tool determines spatial and color channel quantization variations in a picture.
• Encoding tool signals quantization parameters for macroblocks in the picture in an encoded bit stream.
• Decoding tool receives the encoded bit stream, predicts quantization parameters, and determines quantization parameters for macroblocks.
• Decoding tool performs inverse quantization that can vary spatially and/or between color channels.

Potential Applications: - Video streaming services - Video compression technologies - Multimedia applications

Problems Solved: - Efficient encoding and decoding of video with varying quantization parameters - Improved video quality and compression ratios

Benefits: - Enhanced video quality - Reduced bandwidth requirements - Improved compression efficiency

Commercial Applications: Title: Advanced Video Compression Technology for Enhanced Streaming Services This technology can be utilized by streaming platforms to improve video quality and reduce bandwidth usage, leading to a better user experience and cost savings for the service providers.

Prior Art: Researchers can explore existing patents related to video encoding and compression techniques, as well as advancements in multimedia technologies.

Frequently Updated Research: Researchers in the field of video compression and multimedia technologies may be conducting studies on optimizing quantization parameters for enhanced video quality and compression efficiency.

Questions about video encoding with spatially varying quantization and color channel variations: 1. How does this technology impact the efficiency of video streaming services? 2. What are the key challenges in implementing spatially varying quantization in video encoding?

Original Abstract Submitted

techniques and tools for encoding enhancement layer video with quantization that varies spatially and/or between color channels are presented, along with corresponding decoding techniques and tools. for example, an encoding tool determines whether quantization varies spatially over a picture, and the tool also determines whether quantization varies between color channels in the picture. the tool signals quantization parameters for macroblocks in the picture in an encoded bit stream. in some implementations, to signal the quantization parameters, the tool predicts the quantization parameters, and the quantization parameters are signaled with reference to the predicted quantization parameters. a decoding tool receives the encoded bit stream, predicts the quantization parameters, and uses the signaled information to determine the quantization parameters for the macroblocks of the enhancement layer video. the decoding tool performs inverse quantization that can vary spatially and/or between color channels.