Intra Refresh Encoding Using Convex Concave Distribution Functions
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Solution Overview
Problem
H.264 encoding and other compression standards face challenges with I-frame bit rate spikes, particularly in surveillance systems with many cameras, leading to uneven bit rate distribution and inefficient use of network resources.
Innovation Solution
A method for intra refresh encoding that adapts the probability of intra refresh based on convex and concave distribution functions, differentiating between high and low relevance areas within an image frame to optimize bit rate allocation and distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If intra refresh encoding is applied to reduce I-frame bit rate spikes, then bit rate smoothness is improved, but video quality in certain regions may deteriorate due to uneven refresh distribution
Solution Approach 1:
The patent applies different intra refresh probabilities to different regions of the image frame based on their relevance. High relevance areas (such as regions containing important objects or details) receive higher refresh probabilities to maintain video quality, while low relevance areas receive lower refresh probabilities to conserve bit rate. This local differentiation resolves the contradiction by allowing bit rate smoothness improvement without sacrificing video quality in critical regions.
2Manufacturing precision
If high rate of intra refresh is used to preserve video quality and detect events, then video quality is improved, but bit rate requirement increases
Solution Approach 1:
The patent implements region-dependent intra refresh where high relevance areas receive higher refresh rates to preserve video quality and enable effective event detection, while low relevance areas receive lower refresh rates to reduce overall bit rate consumption. This selective approach allows the system to maintain video quality where it matters most without proportionally increasing the total bit rate for the entire frame.
Solution Approach 2:
The patent dynamically adjusts the intra refresh probability parameter based on the relevance of each processing unit and the number of frames since the last refresh. By changing this parameter adaptively rather than using a fixed high refresh rate across the entire frame, the system achieves video quality preservation in important regions while controlling the overall bit rate through lower refresh rates in less important regions.
3Ease of operation
If bit rate is evenly distributed over the entire image frame, then implementation simplicity is maintained, but ROI-specific quality optimization is lost
Solution Approach 1:
The patent divides the image frame into multiple processing units and assigns different intra refresh probabilities to each based on its relevance to the region of interest. This allows the system to optimize video quality for specific ROIs while maintaining a relatively simple implementation through the use of standardized processing units and a systematic probability assignment approach based on frame count and relevance assessment.
Data Source
AI summary
Video encoding, and specifically to a method and an encoder which can adapt the probability of intra refresh of image frame subdivisions based on a count of image frames since a previous refresh and modulated through convex or concave shaped distribution functions are set forth herein.