18443056. EXTENDED QUANTIZER WITH FINER STEP SIZE simplified abstract (Tencent America LLC)
EXTENDED QUANTIZER WITH FINER STEP SIZE
Organization Name
Inventor(s)
Roman Chernyak of Santa Clara CA (US)
Xiaozhong Xu of State College PA (US)
EXTENDED QUANTIZER WITH FINER STEP SIZE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18443056 titled 'EXTENDED QUANTIZER WITH FINER STEP SIZE
Simplified Explanation: The patent application describes a method for determining quantization step sizes for video encoding, reconstructing blocks in a video stream based on these step sizes.
Key Features and Innovation:
- Determining candidate quantization step sizes for a current block in a video stream.
- Selecting quantization step sizes from the candidates for encoding the block.
- Reconstructing the block based on the selected step sizes.
Potential Applications: This technology can be used in video compression algorithms for efficient encoding and decoding of video streams.
Problems Solved: This technology addresses the need for optimizing quantization step sizes in video encoding to improve compression efficiency.
Benefits:
- Improved video compression efficiency.
- Enhanced video quality.
- Reduced bandwidth requirements for video streaming.
Commercial Applications:
- Video streaming services.
- Video conferencing platforms.
- Broadcast television networks.
Prior Art: Researchers can explore prior art related to video encoding, quantization, and compression techniques in the field of video processing.
Frequently Updated Research: Researchers may find updated studies on video encoding algorithms, quantization strategies, and compression techniques relevant to this technology.
Questions about Video Encoding: 1. How does this technology improve video compression efficiency? 2. What are the potential applications of optimized quantization step sizes in video encoding?
Original Abstract Submitted
A video bitstream including a current block in a current picture is received. A set of candidate quantization step sizes of a current block is determined from a plurality of sets of candidate quantization step sizes associated with quantization parameters (QPs). Each of the plurality of sets of candidate quantization step sizes includes a different number of the candidate quantization step sizes. One or more quantization step sizes are determined from the set of candidate quantization step sizes for the current block. Transform coefficients of the current block are determined based on the determined one or more quantization step sizes. The current block is reconstructed based on the determined transform coefficients of the current block.