Adaptive Encoding Resolution Control for Video Bandwidth Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The high data bandwidth of video streams generated after digitization poses challenges for storage and processing, as existing technologies struggle to efficiently compress and encode video streams while maintaining video quality, particularly due to the influence of resolution on encoding quality.
Innovation Solution
An encoding resolution control method and apparatus that adaptively selects encoding resolution for each frame in a video stream by determining a quantization parameter threshold and estimated value, allowing for more accurate encoding and improved video quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video stream is encoded with high resolution to maintain video quality, then video picture quality is improved, but data bandwidth increases making storage and processing difficult
Solution Approach 1:
The patent implements dynamic resolution adjustment by determining encoding resolutions adaptively for different frames based on quantization parameter thresholds and estimated values. The system changes resolution dynamically frame-by-frame rather than using a fixed resolution, allowing quality preservation in important frames while reducing bandwidth in less critical frames.
Solution Approach 2:
The patent changes the encoding resolution parameter adaptively based on quantization parameter analysis. By calculating quantization parameter thresholds and comparing them with estimated values, the system adjusts the resolution parameter dynamically to optimize the balance between video quality and data bandwidth efficiency.
2Quantity of substance
If video stream is encoded with low resolution to reduce data bandwidth, then storage and processing become easier, but video picture quality deteriorates
Solution Approach 1:
The system dynamically adjusts resolution based on frame-specific characteristics analyzed through quantization parameters. Instead of uniformly lowering resolution, the system selectively reduces resolution only when quantization parameter analysis indicates it will not significantly impact perceived quality, thus maintaining quality where needed while reducing bandwidth where possible.
Solution Approach 2:
The patent uses quantization parameter threshold comparison to dynamically change the resolution parameter. By analyzing the relationship between quantization parameters and resolution requirements, the system intelligently adjusts resolution to achieve the minimum necessary quality level for each frame, optimizing bandwidth usage without unnecessary quality loss.
3Device complexity
If fixed encoding resolution is used for all frames, then encoding process is simple, but encoding quality cannot be optimized for different frames
Solution Approach 1:
The patent implements dynamic resolution selection by determining encoding resolution individually for each frame based on quantization parameter analysis. The system transitions from static fixed resolution to dynamic frame-specific resolution, improving encoding quality adaptiveness while maintaining manageable process complexity through automated threshold-based decision making.
Solution Approach 2:
The system changes the encoding resolution parameter adaptively for different frames based on quantization parameter thresholds. By automatically adjusting the resolution parameter according to calculated thresholds and estimated values, the system achieves optimized encoding quality without requiring complex manual intervention, balancing automation intelligence with process simplicity.
Data Source
AI summary
This application relates to an encoding resolution control method and apparatus, and relates to the field of computer technologies. The encoding resolution control apparatus determines a quantization parameter threshold of a current frame according to a preset rule; determines a quantization parameter estimated value of the current frame according to an encoding mode of an encoder; determines encoding resolution of the current frame according to the quantization parameter threshold and the quantization parameter estimated value of the current frame; and encodes the current frame into a bitstream according to the encoding resolution.