Edge-Enhanced Frame Blending for Fast Video Interpolation
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Solution Overview
Problem
High-quality video processing requires significant memory, time, and computing resources, and the complexity of video content makes effective processing difficult, especially when enhancing or interpolating frames quickly for specific purposes.
Innovation Solution
Utilizing neural networks to generate intermediate frames between existing frames, performing spatial upsampling, downsampling, and edge enhancement to improve frame rate and quality, while optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high resolution video processing is performed to improve quality, then video quality is improved, but computing resources and processing time are significantly increased
Solution Approach 1:
The patent segments the video processing task into multiple frames that can be processed independently and in parallel. By dividing the video stream into discrete frame units, the system can process multiple frames simultaneously using parallel computing resources, reducing the overall processing time and resource requirements while maintaining high video quality
Solution Approach 2:
The patent performs preliminary actions by pre-processing video frames before full high-resolution processing. This includes initial frame analysis, motion estimation, and selective processing of only those frames that require enhancement, thereby reducing the total computational load while preserving quality where needed
2Measurement precision
If complex video content is processed to maintain accuracy, then processing accuracy is improved, but processing speed is reduced
Solution Approach 1:
The patent applies local quality by differentiating processing requirements across different regions of video frames. It identifies and processes only the specific regions containing complex content (such as moving objects or detailed textures) with high accuracy, while applying simplified processing to uniform or static regions, thereby maintaining overall accuracy while significantly improving processing speed
Solution Approach 2:
The patent implements partial action by selectively applying full processing accuracy only to portions of video frames that contain complex content. For simpler regions, reduced processing is applied, which maintains adequate quality while reducing the total computational burden and increasing processing throughput
3Productivity
If video processing is performed quickly to improve speed, then processing speed is improved, but processing quality is reduced
Solution Approach 1:
The patent implements periodic action by applying different processing intensities at different time intervals or for different frames. It uses a periodic pattern of full processing for key frames and reduced processing for intermediate frames, creating a rhythm of processing that maintains overall quality while achieving higher average processing speeds
Solution Approach 2:
The patent uses copying by generating lower-resolution or simplified versions of video frames for quick processing and preview, while maintaining full-resolution copies for final quality-critical output. This allows rapid processing of multiple frame versions without permanently degrading the quality of the final delivered video
Data Source
AI summary
Apparatuses, systems, and techniques to process image frames. In at least one embodiment, one or more edges of one or more objects within one or more images are digitally enhanced before downsampling the one or more objects.