Region-Based Video Frame Rate Control for Smooth Conferencing
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Solution Overview
Problem
Conventional conferencing software limits the focus and visibility of in-person conference participants by rendering them within a single user interface tile, leading to inconsistent video stream quality due to uniform frame rates that do not account for individual motion variations, which can result in choppy movements and resource constraints.
Innovation Solution
Implement motion-based frame rate adjustment by determining and adjusting frame rates for individual regions of interest within a video stream based on motion information, optimizing compute and network resources while enhancing video quality for each participant.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform frame rates are used for all participants, then resource consumption is reduced and system complexity is minimized, but video quality becomes inconsistent and motion appears choppy for active participants
Solution Approach 1:
The patent applies different frame rates to different regions of interest within the video stream based on motion activity. Active participants receive higher frame rates (e.g., 60fps) while inactive participants receive lower frame rates (e.g., 30fps), making each region's video quality adapted to its specific motion characteristics rather than applying a uniform frame rate across all participants.
Solution Approach 2:
The video stream is segmented into multiple regions of interest corresponding to different participants or areas. The system independently controls frame rates for each region based on motion detection, allowing selective optimization of video quality for active regions while reducing computational load for inactive regions.
2Speed
If higher frame rates are applied to all video streams, then motion smoothness improves for all participants, but computational resources and network bandwidth are过度 consumed
Solution Approach 1:
Instead of applying high frame rates uniformly to all participants, the system applies high frame rates only partially to those regions where motion activity justifies it. This selective approach ensures smooth motion for active participants while avoiding excessive computational resource consumption for inactive participants who can be rendered at lower frame rates.
Solution Approach 2:
The system dynamically changes the frame rate parameter based on motion detection results. When motion is detected in a particular region, the frame rate for that region is increased; when motion is minimal, the frame rate is reduced. This dynamic parameter adjustment optimizes the balance between video quality and computational resource consumption.
3Ease of operation
If individual motion-based frame rate adjustment is implemented, then video quality and communication experience improve, but system complexity and processing overhead increase
Solution Approach 1:
The system uses motion detection algorithms that automatically analyze video content and determine appropriate frame rates without requiring manual intervention or complex user configuration. The motion detection and frame rate adjustment operate autonomously based on detected motion patterns, reducing the need for user involvement in managing video quality settings.
Solution Approach 2:
The system continuously monitors motion activity in video streams and uses this feedback to dynamically adjust frame rates. Motion detection results provide real-time feedback that triggers frame rate changes, creating a closed-loop system that automatically adapts video quality to current motion conditions without requiring complex user input or configuration.
Data Source
AI summary
Frame rates for rendering video streams depicting conference participants within a physical space are adjusted based on motion detected with respect to those conference participants. Regions of interest are identified within an initial video stream captured by a video capture device. The video capture device is caused to capture, at an initial frame rate, video streams each associated with a different one of the regions of interest. An adjusted frame rate for a region of interest of the regions of interest is determined based on information associated with content depicted within the region of interest. A frame rate of a video stream of the video streams is then adjusted from the initial frame rate to the adjusted frame rate, in which the video stream is associated with the region of interest.