AI Video Frame Interpolation for Continuous and Discontinuous Motion
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Solution Overview
Problem
Existing video frame interpolation techniques struggle to effectively enhance temporal quality without requiring hardware upgrades, particularly in distinguishing and handling objects with continuous and discontinuous movements in video frames.
Innovation Solution
An electronic device employs AI models to identify and interpolate objects with continuous and discontinuous movements in video frames, using a weighted sum of reference frames and discontinuous maps to generate high-quality intermediate frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video frame interpolation is performed on all objects in the video, then temporal quality is enhanced, but quality deterioration occurs due to overlapping objects with discontinuous movement
Solution Approach 1:
The video processing system segments objects into two categories: continuously moving objects and discontinuously moving objects. This segmentation allows different interpolation strategies to be applied to different object types, preventing quality deterioration from interpolating discontinuous objects while maintaining temporal quality enhancement for continuous objects.
Solution Approach 2:
The system applies local quality control by selectively applying interpolation only to regions containing continuously moving objects, while preserving original frames for regions with discontinuously moving objects. This localized approach ensures high image quality in critical regions while maintaining overall temporal enhancement.
2Reliability
If hardware is upgraded to enhance video processing capability, then video quality enhancement is achieved, but device complexity and cost increase
Solution Approach 1:
The system replaces hardware-based video enhancement with software-based AI interpolation algorithms. By using machine learning models to generate intermediate frames, the system achieves high-quality video enhancement without requiring upgraded hardware components, thus avoiding increased device complexity and cost.
Solution Approach 2:
The system changes the processing parameter from frame rate (hardware limitation) to interpolation quality (software controllable). By adjusting AI model parameters and interpolation settings, the system achieves variable video quality outcomes without hardware modifications, maintaining device simplicity while enabling quality enhancement.
3Reliability
If interpolation is applied to objects with discontinuous movement, then temporal quality is enhanced, but object clarity deteriorates due to overlapping
Solution Approach 1:
The system dynamically adjusts interpolation application based on object motion characteristics. By continuously analyzing motion patterns and determining whether objects exhibit continuous or discontinuous movement, the system adaptively applies interpolation only when appropriate, maintaining object clarity while enhancing temporal quality where beneficial.
Solution Approach 2:
The system uses feedback from motion analysis to control interpolation application. By monitoring object movement patterns and providing feedback to the interpolation decision-making process, the system ensures that interpolation is applied only to continuously moving objects, preventing clarity deterioration while maintaining temporal enhancement.
Data Source
AI summary
An electronic device is provided. The electronic device includes at least one processor and a memory. The memory may store at least one instruction that, when executed by the at least one processor, enables the electronic device to obtain a first image frame and a second image frame. The memory may store at least one instruction that, when executed by the at least one processor, enables the electronic device to identify a first interpolation-applied object and a first interpolation non-applied object among objects included in the first image frame and identify a second interpolation-applied object and a second interpolation non-applied object among objects included in the second image frame.