Video Encoder Tool Efficiency Configuration
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Solution Overview
Problem
Existing video coding algorithms struggle to balance complexity and performance, particularly in consumer electronics devices with limited resources, leading to inefficiencies in data transmission and processing.
Innovation Solution
A method for determining the efficiency value of video encoding tools based on encoding performance and computational complexity, allowing for adaptive configuration of video encoders to select the most efficient tools for a given video sequence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advanced video encoding tools are activated to improve compression efficiency, then bandwidth saving and video quality are improved, but computational complexity increases
Solution Approach 1:
The patent implements dynamic activation of video encoding tools based on real-time analysis of video content characteristics and device capabilities. The system adjusts which encoding tools are activated during encoding operations, transitioning from static configuration to dynamic adaptation. This resolves the contradiction by enabling high compression efficiency when needed while reducing computational complexity when device resources are limited.
Solution Approach 2:
The patent changes the parameter state of encoding tools from fixed/always-active to conditionally-active based on multiple parameters including video sequence complexity, device computational resources, and power availability. By modifying the activation state parameter dynamically, the system achieves optimal balance between compression efficiency and computational complexity for different operating conditions.
2Loss of energy
If multiple video encoding tools are activated to achieve 50% bandwidth saving, then data transmission rate is reduced, but processing time and energy consumption increase
Solution Approach 1:
The patent implements feedback mechanisms that monitor encoding performance, device resource usage, and power consumption in real-time. Based on this feedback, the system dynamically adjusts the activation state of encoding tools to maintain optimal bandwidth savings while preventing excessive processing time and energy consumption. The feedback loop enables continuous optimization of the trade-off between transmission efficiency and processing costs.
Solution Approach 2:
The patent applies partial activation of encoding tools rather than activating all available tools simultaneously. Based on video content analysis, the system selectively activates only the necessary subset of encoding tools required to achieve target compression ratios, avoiding the excessive processing time and energy consumption that would result from activating all tools regardless of need.
3Manufacturing precision
If high-resolution and high-frame-rate video encoding is implemented to meet market demands, then video quality is improved, but computational complexity and power consumption increase
Solution Approach 1:
The patent segments the video encoding process into multiple independent tool modules that can be selectively activated. For high-resolution and high-frame-rate video, the system identifies and activates only the specific encoding tools necessary to maintain quality requirements, rather than applying all encoding operations uniformly. This segmentation enables quality preservation while reducing unnecessary power consumption from redundant processing.
Solution Approach 2:
The patent applies local quality optimization by analyzing different regions and temporal segments of video content separately. Encoding tools are activated selectively for specific video segments that require enhanced processing to maintain quality, while other segments use simpler encoding paths. This local approach preserves video quality where needed while reducing overall power consumption across the entire video sequence.
Data Source
AI summary
A method of processing a video sequence is proposed, which comprises, for a video encoding tool of a set of video encoding tools configured for encoding the video sequence comprised in a video encoder, determining an efficiency value based on an encoding performance value and an encoding computational complexity value of the video encoding tool for encoding the video sequence, and determining, based on the efficiency value of the video encoding tool, whether to configure the video encoder to use the video encoding tool for the encoding of the video sequence.


