Sink Device QMS-VRR Frame Drop Prevention
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Solution Overview
Problem
The Quick Media Switching (QMS)-Variable Refresh Rate (VRR) function experiences frame drops and artifacts like video tearing due to limited buffer capacity during operation.
Innovation Solution
A sink device with a processor that synchronizes video signals based on HDMI input signals, switching to a timing sync mode when the QMS-VRR operation condition is met, to prevent frame drops and artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If QMS-VRR function is enabled to minimize screen stuttering during refresh rate changes, then video smoothness is improved, but frame drops occur due to limited buffer capacity
Solution Approach 1:
The patent applies preliminary action by determining the next frame rate in advance using VTEM metadata before the actual frame rate change occurs. This allows the sink device to prepare buffer management strategies proactively, allocating or deallocating buffers ahead of time to prevent frame drops during transitions. The processor parses VTEM information from incoming frames to predict upcoming refresh rate changes and adjusts buffer operations accordingly.
Solution Approach 2:
The patent implements dynamics by making the buffer management adaptive and dynamic rather than static. The system continuously monitors VTEM metadata and dynamically adjusts buffer allocation, write operations, and read operations based on predicted frame rate changes. This dynamic adaptation allows the limited buffer capacity to be optimized in real-time, preventing both frame drops and video tearing during QMS-VRR operations.
2Device complexity
If buffer capacity is limited to reduce device complexity, then device simplicity is improved, but frame drops and video tearing occur during QMS-VRR operation
Solution Approach 1:
The patent applies parameter changes by utilizing VTEM metadata parameters to dynamically control buffer operations. Specifically, the system changes buffer write/read timing, buffer allocation size, and operation scheduling based on frame rate prediction from VTEM data. This allows the same limited buffer to be managed more efficiently under varying frame rate conditions, preventing artifacts without increasing physical buffer capacity.
Solution Approach 2:
The patent implements feedback by continuously monitoring VTEM metadata from incoming video streams and using this information to adjust buffer management strategies. The processor parses VTEM information, predicts frame rate changes, and feeds this information back into the buffer control logic to optimize write/read operations. This closed-loop feedback ensures reliable video playback stability despite limited buffer capacity.
Data Source
AI summary
An object of the present disclosure is to solve the frame drop problem without buffer constraints under QMS-VRR operation condition.