DISC Detector for De-interlaced Video Scaling Analysis
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Solution Overview
Problem
Existing video processing systems face challenges in distinguishing between de-interlaced and progressive video content without a reference signal, particularly due to varying de-interlacing quality and lack of information about previous de-interlacing processes in video chains, which affects downstream algorithms and quality assessment.
Innovation Solution
A low-cost system and method, referred to as the DISC detector, classifies video content as de-interlaced or progressive by analyzing the entropy and positional differences between original and interpolated lines, and determines the scaling factor, using discriminant functions and spectral analysis to provide a robust no-reference metric for de-interlacing quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If de-interlacing is performed to restore missing lines in interlaced video, then video quality for progressive displays is improved, but artifacts are introduced that degrade downstream processing quality
Solution Approach 1:
The patent segments the video processing chain by inserting a detector that identifies de-interlaced content and characterizes artifacts, allowing downstream algorithms to adapt their processing based on the detected content type and artifact levels
Solution Approach 2:
The patent changes parameters of downstream algorithms based on detected content characteristics, adjusting processing intensity and methods according to whether content is de-interlaced or progressive and the quality of de-interlacing applied
2Device complexity
If video processing algorithms operate without knowledge of prior de-interlacing, then system complexity is reduced, but processing accuracy deteriorates due to unknown artifacts
Solution Approach 1:
The patent implements a self-service approach where the video chain automatically detects and characterizes its own input content type and quality through the DISC detector, enabling algorithms to adapt without external metadata or manual configuration
Solution Approach 2:
The patent introduces feedback by using the detector's classification and quality metrics to adjust downstream processing parameters, creating a closed-loop system that responds to actual content characteristics
3Reliability
If external de-interlacers are used in set-top boxes or DVD players, then video quality for progressive output is improved, but information about de-interlacing quality is lost to front-end processing
Solution Approach 1:
The patent introduces an intermediary detector component that bridges the gap between external de-interlacers and front-end processing algorithms, capturing and communicating content type and quality information that would otherwise be lost
4Ease of manufacture
If basic line-insertion de-interlacing is applied, then implementation simplicity is maintained, but de-interlacing quality is insufficient for modern displays
Solution Approach 1:
The patent implements dynamic processing where the system adapts its approach based on detected content characteristics, using the simple detector to identify content type and quality, then dynamically adjusting downstream algorithm behavior to compensate for varying de-interlacing quality
Data Source
AI summary
A system, apparatus, and method are provided for a video detector that computes a measure of how much a given video content resembles one of a de-interlaced video content or a progressive video content. More particularly, the present invention determines the position of original and interpolated lines and the scaling factor of an input content whenever that content was scaled after de-interlacing.