Adaptive Video Frame Rate Control for Bandwidth Optimization
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Solution Overview
Problem
Existing video systems in the surveillance industry face inefficiencies due to constant frame rates, leading to wasted bandwidth and storage space, as they fail to adapt to changing motion levels in video scenes, resulting in jerky video during high motion and missed details during peak hours.
Innovation Solution
Systems and methods that dynamically adjust the frame rate based on the motion sensitivity level of a captured scene, processing and transmitting video at adaptive frame rates to optimize bandwidth and storage usage, without requiring user input, by identifying motion sensitivity and mapping it to frames per second values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a high and constant frame rate is used, then video quality and detail are improved, but bandwidth and storage space are wasted
Solution Approach 1:
The patent applies dynamics by transitioning from a static, constant frame rate to a dynamic, variable frame rate that adapts to scene conditions. The system continuously monitors motion levels and adjusts the frame rate accordingly, using higher frame rates during high-motion scenes to maintain video quality and lower frame rates during low-motion scenes to conserve bandwidth and storage resources.
Solution Approach 2:
The patent implements parameter changes by modifying the frame rate parameter based on motion sensitivity analysis. The system changes the temporal sampling rate dynamically, increasing it when motion is detected and decreasing it when the scene is static, thereby optimizing the trade-off between video quality and resource consumption.
2Loss of energy
If a low and constant frame rate is used, then bandwidth and storage space are conserved, but video quality deteriorates during high motion
Solution Approach 1:
The patent employs feedback mechanisms by continuously analyzing motion sensitivity in video frames and using this information to adjust the frame rate. The system processes video data, detects motion levels, and feeds this information back to control the frame rate selection, ensuring that video quality is maintained during high-motion events while conserving resources during static periods.
Solution Approach 2:
The system transitions from a static low frame rate to a dynamic frame rate that responds to scene activity. During high-motion scenes, the frame rate increases to capture detailed motion information, while during low-motion scenes, it decreases to conserve bandwidth and storage, thus adapting to real-time conditions.
3Device complexity
If a constant frame rate is used, then system complexity is reduced, but adaptability to different motion levels is lost
Solution Approach 1:
The patent implements self-service by enabling the video processing system to automatically adjust its own frame rate based on motion analysis. The system performs motion sensitivity detection and frame rate selection autonomously without requiring external intervention, making it adaptable to varying motion levels while maintaining reasonable system complexity through automated decision-making algorithms.
Solution Approach 2:
The system introduces dynamic adaptability by allowing the frame rate to vary based on motion levels. This enables the system to respond to different scene conditions automatically, improving versatility while managing complexity through motion-based control logic.
4Measurement precision
If more frames are transmitted during high motion, then video detail is improved, but bandwidth consumption increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the frame rate parameter based on motion sensitivity. During high-motion scenes, the system increases the frame rate to transmit more frames and capture detailed motion information. During low-motion scenes, it decreases the frame rate to reduce bandwidth consumption, thereby optimizing the balance between video detail and bandwidth usage.
Solution Approach 2:
The system transitions from a static frame rate to a dynamic one that adapts to motion levels. This allows the system to transmit more frames when motion is detected (improving video detail) and fewer frames when motion is minimal (reducing bandwidth consumption), achieving optimal resource utilization.
Data Source
AI summary
Systems and methods for adjusting the frame rate of transmitted video based on the level of motion in the video are provided. Some methods can include receiving a video data stream from a video capture device at a first frame rate, identifying a level of motion in one or more frames of the video data stream at a regular interval, identifying a plurality of second frame rates for the video data stream, and transmitting the video data stream to a storage device or a display device at respective ones of the plurality of second frame rates, wherein each of the plurality of second frame rates can correspond to the level of motion in a respective frame of the video data stream.