Video Stream Quality Adaptation via Triggered High-Resolution Capture
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Solution Overview
Problem
Camera systems face high power consumption when constantly recording high information-bearing video streams, leading to reduced battery life, increased processor and memory utilization, and heat dissipation, while lower information-bearing streams result in lower video quality, limiting downstream application performance.
Innovation Solution
An electronic device records a low information-bearing video stream and, upon detecting a trigger criterion such as significant video content change, switches to a higher quality stream, adding information from the higher quality stream to enhance the low quality stream's quality without continuous high power capture, thus maintaining scene information and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a camera system constantly records a higher information-bearing video stream, then video quality is improved, but power consumption increases
Solution Approach 1:
The system periodically switches between low information-bearing and high information-bearing video stream capture modes based on trigger criteria. Instead of continuously capturing high-quality video, the system captures low-quality streams during normal operation and only activates high-quality capture when specific conditions are met (such as detecting motion, sound, or other predefined events), thereby reducing overall power consumption while maintaining video quality when needed
Solution Approach 2:
The system dynamically adjusts the information-bearing level of the video stream based on real-time conditions. The camera system can transition between different capture modes (low quality/high quality) depending on the current scene requirements, making the video quality adaptive rather than static, which optimizes the balance between power consumption and video quality
2Use of energy by moving object
If a camera system constantly records a lower information-bearing video stream, then power consumption is reduced, but video quality deteriorates
Solution Approach 1:
The system uses periodic high-quality capture triggered by specific events rather than continuous high-quality capture. When a trigger criterion is satisfied (such as detecting significant motion or sound), the system temporarily switches to high information-bearing mode to capture the important moment, then returns to low-power mode, ensuring video quality is maintained for critical events while minimizing overall power consumption
Solution Approach 2:
The system introduces trigger criteria as an intermediary mechanism that mediates between power consumption and video quality. The trigger criteria act as a decision-making layer that determines when to switch from low-quality to high-quality capture, ensuring that high video quality is only used when necessary and justified by specific conditions
3Use of energy by moving object
If a camera system switches between different information-bearing levels, then power consumption is optimized, but system complexity increases
Solution Approach 1:
The system segments the video capture function into distinct modes (low information-bearing mode and high information-bearing mode), each optimized for specific conditions. By dividing the capture functionality into separate operational segments with clear trigger conditions for switching, the system manages complexity through structured organization rather than attempting to continuously adjust parameters
Data Source
AI summary
A method includes recording a first video stream characterized by a first value of a first quality characteristic. The method includes determining that the first video stream satisfies a trigger criterion. The trigger criterion characterizes a threshold amount of video content change information. The method includes, in response to determining that the first video stream satisfies the trigger criterion, obtaining a second video stream characterized by a second value of a second quality characteristic. The second video stream includes scene information also included in the first video stream. The second value of the second quality characteristic is indicative of a higher quality video stream than the first value of the first quality characteristic. The method includes generating a third video stream by adding information from the second video stream to the first video stream. The third video stream corresponds to a higher quality version of the first video stream.