Dynamic Frame Rate Conversion for Motion Dragging Artifacts
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Solution Overview
Problem
Current frame rate conversion technologies often result in motion dragging artifacts and high computational costs, particularly when handling images with fast-moving objects and varying textures, leading to undesirable visual effects such as the halo effect and motion judder.
Innovation Solution
The implementation of a system that dynamically adjusts frame rate conversion operational modes based on motion characteristics and texture information of foreground and background objects, using optical flow analysis to separate objects and predict potential motion dragging artifacts, thereby selecting the optimal FRC mode to minimize such artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If complicated motion interpolation systems are designed to improve frame rate conversion quality, then image interpolation accuracy is improved, but computational costs increase and motion dragging artifacts occur
Solution Approach 1:
The patent segments the image sequence into foreground and background regions using optical flow analysis. By separating motion compensation for foreground objects from background areas, the system achieves accurate motion interpolation for moving objects while reducing overall computational complexity. This segmentation allows different processing strategies to be applied to different regions, resolving the contradiction between accuracy and complexity.
Solution Approach 2:
The patent applies local quality by using texture analysis to identify regions with varying texture characteristics. Different interpolation methods and motion compensation strategies are applied locally based on texture complexity - simple regions use efficient algorithms while complex regions receive more intensive processing. This local adaptation maintains high interpolation accuracy where needed while reducing computational burden in simpler areas.
2Manufacturing precision
If complicated motion interpolation systems are designed to improve frame rate conversion quality, then image interpolation accuracy is improved, but motion dragging artifacts and noticeable lags occur
Solution Approach 1:
The patent performs preliminary action by conducting optical flow analysis and texture classification before the actual interpolation process. By pre-identifying foreground objects, motion vectors, and texture characteristics, the system can apply appropriate motion compensation strategies in advance, preventing motion dragging artifacts from occurring during interpolation. This preliminary analysis enables proactive artifact prevention rather than reactive correction.
Solution Approach 2:
The patent dynamically changes interpolation parameters based on detected motion characteristics and texture information. Motion compensation strength, interpolation filter selection, and frame blending ratios are adjusted as parameters according to the complexity and type of motion in different regions. This adaptive parameter adjustment maintains high accuracy for complex motions while using simpler parameters for straightforward cases, reducing artifacts throughout.
3Device complexity
If simple image replication is used to achieve desired frame rate, then system complexity is reduced, but motion judder occurs
Solution Approach 1:
The patent applies partial action by performing full motion compensation and interpolation only for regions identified as containing foreground objects with significant motion. Background regions and areas with minimal motion use simpler replication or reduced interpolation. This partial application of complex processing eliminates motion judder in critical areas while keeping overall system complexity manageable through selective processing.
4Object-affected harmful factors
If dynamic adjustment of FRC modes based on motion characteristics is implemented, then motion dragging artifacts are reduced, but computational overhead increases
Solution Approach 1:
The patent segments the image sequence into foreground and background regions using optical flow analysis. By separating motion compensation for foreground objects from background areas, the system achieves accurate motion interpolation for moving objects while reducing overall computational complexity. This segmentation allows different processing strategies to be applied to different regions, resolving the contradiction between accuracy and complexity.
Solution Approach 2:
The patent applies local quality by using texture analysis to identify regions with varying texture characteristics. Different interpolation methods and motion compensation strategies are applied locally based on texture complexity - simple regions use efficient algorithms while complex regions receive more intensive processing. This local adaptation maintains high interpolation accuracy where needed while reducing computational burden in simpler areas.
Data Source
AI summary
Motion characteristics related to foreground objects and background regions bordering the foreground objects in images are determined. A frame rate conversion (FRC)-related metadata portion is generated based on the motion characteristics. The FRC-related metadata portion is to be used for determining an optimal FRC operational mode with a downstream device for the images. The images are encoded into a video stream. The FRC-related metadata portion is encoded into the video stream as a part of image metadata. The video stream is caused to be transmitted to the downstream device.