Video Motion Augmentation for Micro-Movement Perceptibility
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Solution Overview
Problem
Current content delivery networks struggle to enhance video content delivery, particularly in environments with limited display capabilities or excessive movement, which can interfere with the viewing experience for users on various devices.
Innovation Solution
A system and method for video motion augmentation that analyzes video content and device characteristics to dynamically enhance and adapt regions of small or micro-movements, using inputs such as device characteristics, sensor data, and user feedback to generate enhanced versions of media content for optimal display on different devices and environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video content is delivered without enhancement to devices with limited display capabilities, then bandwidth consumption is reduced, but small or micro-movements become imperceptible to users
Solution Approach 1:
The system applies motion enhancement selectively to specific regions or frames where micro-movements occur, rather than enhancing the entire video stream uniformly. This localized approach improves the perceptibility of small movements in critical areas while maintaining lower bandwidth consumption for the overall video delivery.
Solution Approach 2:
The enhancement level is dynamically adjusted based on device characteristics, network conditions, and the actual motion content detected in the video. The system monitors these parameters in real-time and adapts the enhancement intensity accordingly, optimizing both perceptibility and bandwidth efficiency.
2Measurement precision
If motion enhancement is applied to all video content, then small movements become perceptible on all devices, but processing complexity and computational resources increase
Solution Approach 1:
Motion enhancement parameters and device characteristics are determined in advance before video delivery. The system pre-configures enhancement settings based on the requesting device's capabilities, allowing the enhanced video to be prepared and delivered without requiring complex real-time processing at the playback device.
Solution Approach 2:
A server-side intermediary processes the video enhancement before delivery to the client device. This intermediary handles the computationally intensive motion analysis and enhancement operations, offloading processing complexity from the end-user device while still achieving the desired perceptibility improvement.
3Measurement precision
If video content is enhanced for devices with large displays, then movement details are visible, but the content may cause discomfort for users on smaller devices due to excessive perceived movement
Solution Approach 1:
The system tailors the motion enhancement intensity to match the specific device characteristics, applying stronger enhancement only when appropriate for the display capabilities. This ensures that movement details are visible on large displays without applying excessive enhancement that would cause discomfort on smaller devices.
Solution Approach 2:
Enhancement parameters such as motion magnitude, frame rate, and interpolation intensity are dynamically adjusted based on device screen size and capabilities. This parameter adaptation ensures optimal viewing experience across different device types, preventing discomfort while maintaining visibility of movement details.
4Speed
If real-time motion enhancement is performed on the client device, then enhanced video can be displayed immediately, but device battery consumption and processing load increase
Solution Approach 1:
A server-side intermediary performs the computationally intensive motion enhancement operations before video delivery, rather than requiring the client device to perform real-time enhancement. This approach maintains fast response times while significantly reducing the processing load and battery consumption on the end-user device.
Solution Approach 2:
Motion enhancement is performed in advance on the server side before video delivery to the client device. By pre-processing the video content with motion enhancement, the system eliminates the need for energy-intensive real-time processing on the client device, reducing battery consumption while maintaining enhancement quality.
Data Source
AI summary
A system for providing video motion augmentation is disclosed. In particular, the system provides mechanisms for analyzing video content, metadata, or a combination thereof, to dynamically enhance and adapt regions of small movements or micro-movements in the video content based on a variety of inputs. The regions of small movements or micro-movements may be enhanced based on device characteristics associated with a device consuming the video content, based on a theme associated with the content, based on sensor data, based on user feedback, and based on a variety of other inputs. For example, motion content in the video content may be enhanced and emphasized based on the display resolution or other device characteristics of a device requesting the video content. Once the enhanced video content is generated based on the inputs, the enhanced content may be provided to the device requesting the content.