Two Pass Video Quantization Algorithm
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Solution Overview
Problem
Existing video compression technologies are inefficient due to the high computational resources required for quantization, particularly in applications like video conferencing, where a faster encoder is needed to reduce processing time and improve resource utilization.
Innovation Solution
A two-pass quantization algorithm is proposed, where the first pass is a pre-scan to identify and discard unnecessary data, and the second pass performs actual quantization, optimizing data processing and reducing computational load by setting default values for low-frequency coefficients and quantizing high-frequency coefficients based on compression quality levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional quantization is applied to all transformed video data, then video quality is maintained, but processing time and computational resources increase significantly
Solution Approach 1:
The quantization process is divided into two passes: a first pass that identifies and processes only significant coefficients (those exceeding a threshold), and a second pass that handles remaining coefficients. This segmentation allows the system to focus computational resources on data that actually impacts video quality, thereby reducing overall processing time while maintaining quality standards.
Solution Approach 2:
The patent extracts and processes only the most important transformed video data coefficients above a certain threshold value. By taking out and separately handling these significant coefficients in the first pass, the system avoids unnecessary quantization of insignificant data, reducing computational load and processing time while preserving essential video quality information.
2Loss of information
If traditional quantization is applied to all transformed video data, then complete video information is preserved, but computational resources are excessively consumed
Solution Approach 1:
The patent applies partial action by performing quantization only on coefficients that exceed a threshold value in the first pass, rather than processing all coefficients uniformly. This selective approach ensures that the most important video information is preserved while avoiding wasteful computation on insignificant data, thereby reducing computational resource consumption without substantially compromising video information completeness.
Solution Approach 2:
The patent introduces a threshold parameter that dynamically controls which coefficients require quantization processing. By changing the processing parameter (threshold value) based on the significance of coefficients, the system adapts its computational effort to match the actual information content, reducing energy consumption while maintaining adequate video information preservation.
3Manufacturing precision
If all transformed video data is processed through quantization, then encoding accuracy is improved, but encoding efficiency decreases
Solution Approach 1:
The patent performs a preliminary scan in the first pass to identify coefficients exceeding the threshold before applying full quantization. This preliminary action filters out insignificant coefficients that would not contribute meaningfully to encoding accuracy, allowing the second pass to focus resources on important data and thereby improving overall encoding efficiency without sacrificing essential accuracy.
Solution Approach 2:
The encoding process is segmented into two distinct passes with different processing strategies. The first pass handles significant coefficients with full quantization to ensure accuracy, while the second pass efficiently processes remaining coefficients. This segmentation enables the system to maintain encoding accuracy for critical data while improving overall encoding efficiency through optimized resource allocation.
Data Source
AI summary
Disclosed is a method for encoding a block of video. The method includes identifying, by a processor, a transformed video data block including a plurality of transformed video data, identifying a first portion of the plurality of transformed video data, identifying a second portion of the plurality of transformed video data, determining a plurality of quantized values based on the second portion of the plurality of transformed video data, and generating a quantization coefficient data block including a first portion of a plurality of quantized data values corresponding to the first portion of the plurality of transformed video data and set to a default value and including a second portion of the plurality of quantized data values corresponding to the second portion of the plurality of transformed video data and set to the plurality of quantized values.