Image Management via Motion Sensor Video Adaptation
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Solution Overview
Problem
Existing communication standards reduce image resolution in response to data bursts, leading to prolonged suboptimal image quality due to reliance on data size detection, rather than device movement, causing delays in restoring image quality after the burst has ended.
Innovation Solution
Implementing a system that uses motion sensors to detect device movement and adjust video transmission parameters such as resolution and frame rate, allowing for immediate restoration of image quality once movement stops, thereby reducing data size in real-time based on device movement rather than data transmission size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image resolution is dynamically reduced in response to data bursts, then network traffic is managed and resources are protected, but image quality remains suboptimal for an undesirably long time period after the burst has ended
Solution Approach 1:
The system performs preliminary action by detecting device movement before a data burst occurs and proactively reducing image resolution in anticipation of increased data transmission. This allows the system to prepare for the burst ahead of time, and more importantly, to quickly restore quality by detecting when movement stops, rather than waiting to detect the burst and then slowly recovering.
2Reliability
If image resolution is reduced based on received data size, then network overload is prevented, but the system cannot quickly determine when to restore resolution because it must wait for reduced data transmission
Solution Approach 1:
The system replaces the mechanical/data-based detection method (monitoring received data size) with a sensor-based detection method (using motion sensors to detect device movement). This substitution allows for immediate detection of movement cessation, enabling rapid restoration of image quality without the delay of waiting to observe reduced data transmission patterns.
3Reliability
If the system waits for several seconds of reduced data size to conclude a burst has ended, then false positives are avoided, but quality images cannot be captured quickly after movement stops
Solution Approach 1:
The system uses feedback from motion sensors to continuously monitor device movement and dynamically adjust image resolution in real-time. When the sensor detects that movement has stopped, the system immediately receives this feedback and restores image quality without delay, creating a responsive closed-loop control system that eliminates the need to wait for data size patterns.
Data Source
AI summary
A communication system is configured to automatically adapt an image sequence in response to movement of a camera used to capture the image sequence. The adaptation includes a reduction in the data size of the image sequence and can occur in real-time as the image sequence is captured. The adaptation further includes restoration of the data size of the image in response to a reduction in movement of the camera. This approach allows for the communication of quality images shortly after movement of the has been reduced.