Video Overlay Detection on Progressive Video Input
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Solution Overview
Problem
Conventional video processing systems face challenges in detecting and overlaying video content on film-originated content captured in interlaced formats, particularly when displayed using progressive techniques, as they struggle to accurately differentiate between film and video content and handle various frame cadences.
Innovation Solution
A system and method for video overlay on film detection on progressive video input, which involves deinterlacing interlaced video to produce progressive video, performing frame-based cadence detection, and using a motion-compensated frame-rate converter to upconvert video frames, integrate pixel values, and refine initial detection vectors to distinguish between film and video content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If interlaced video is processed directly without deinterlacing, then processing complexity is reduced, but video overlay detection accuracy deteriorates
Solution Approach 1:
The patent segments the video processing into distinct stages: deinterlacing stage, frame rate conversion stage, and overlay detection stage. By separating these functions, the system can process interlaced video through deinterlacing to produce progressive video, then perform accurate overlay detection on the progressive signal without handling the complexity of interlaced data throughout the entire pipeline.
2Reliability
If frame rate conversion is performed, then display quality is improved, but processing time increases
Solution Approach 1:
The patent performs deinterlacing as a preliminary action before frame rate conversion and overlay detection. This preliminary deinterlacing prepares the video signal in advance, converting it to progressive format so that subsequent frame rate conversion and detection operations can proceed more efficiently on the already-processed progressive signal, reducing overall processing time.
3Device complexity
If video overlay detection is performed on interlaced video, then processing steps are minimized, but detection accuracy deteriorates
Solution Approach 1:
The patent introduces progressive video as an intermediary format between the interlaced input and the overlay detection process. The deinterlacing converter transforms interlaced video to progressive video, which then serves as the input for frame rate conversion and overlay detection. This intermediary progressive format enables accurate overlay detection while maintaining processing efficiency.
4Adaptability or versatility
If deinterlacing is performed, then video overlay detection capability is improved, but processing complexity increases
Solution Approach 1:
The patent segments the video processing pipeline into distinct functional blocks: deinterlacing converter, frame rate converter, and overlay detector. Each block handles a specific task independently, allowing the system to gain video overlay detection capability through deinterlacing while managing processing complexity through modular architecture where each component can be optimized separately.
Data Source
AI summary
A video processor receives an interlaced video comprising source video content and video overlay content. A progressive video of the received interlaced video is used for video overlay detection. The received interlaced video is deinterlaced and converted to a high frame-rate progressive video for display. Video overlay detection and frame based cadence detection are performed independently during frame-rate conversion. Candidate cadences are detected for each video frame. Decisions on final cadences for each video frame are made based on the detected candidate cadences and the detected video overlay content. A frame-rate upconversion is performed according to the final cadence detection decisions. Video frame differences between each video frame and associated adjacent video frames are generated for video overlay detection. Pixel values per line are integrated for each generated video frame difference. An overlay detection vector is formed for each video frame via an element-wise min-operation and refined temporally and/or spatially.