Video Field Order Detection Using Difference Frame Polarity Analysis
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Solution Overview
Problem
Interlaced video sequences often lose field order information during digital sampling and editing, leading to video jerkiness and increased bit rates, as the chronological ordering of fields is crucial for smooth rendering.
Innovation Solution
A method and system for detecting field order by analyzing difference frames between consecutive top and bottom field pictures of a video sequence, determining pixel polarities, and generating a field order signal based on opposite and identical polarity pixels to restore correct chronological order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If field order information is lost during digital sampling and editing, then video rendering becomes jerky and bit rate increases, but the patent does not provide a solution to recover lost field order information
Solution Approach 1:
The patent performs field order detection in advance before video rendering, analyzing difference frames between consecutive fields to determine polarity patterns. This preliminary detection allows the system to identify and correct field order issues before they cause rendering problems, preventing video jerkiness and the need for higher bit rates.
Solution Approach 2:
The patent uses feedback from analyzing difference frames to detect polarity patterns that indicate field order. By continuously monitoring the relationship between top and bottom fields and their temporal counterparts, the system can identify when field order information is lost and adjust rendering accordingly, maintaining video quality without increasing bit rate.
2Reliability
If field order information is included in encoded video stream, then correct rendering is achieved, but digital sampling and editing processes cause loss of this information
Solution Approach 1:
The patent enables the video system to self-determine field order information by analyzing difference frames between consecutive top and bottom fields. The system uses its own processed data (difference frames with polarity information) to reconstruct field order, making it self-sufficient and independent of external field order metadata that would be lost during digital processing.
Solution Approach 2:
The patent introduces difference frames as an intermediary that carries polarity information about field order. Instead of relying directly on lost field order metadata, the system uses difference frames as a mediator to infer the correct field sequence, allowing digital sampling and editing operations to proceed while preserving rendering accuracy.
3Reliability
If fields are displayed in incorrect chronological order, then video jerkiness occurs, but detecting and correcting field order requires additional processing
Solution Approach 1:
The patent segments the video processing into manageable steps: first calculating difference frames between top and bottom fields, then analyzing polarity patterns in these difference frames, and finally using this information to determine correct field order. This segmentation breaks down the complex task of field order detection into simpler, sequential operations that can be efficiently processed.
Solution Approach 2:
The patent applies partial action by analyzing only the polarity information in difference frames rather than processing every pixel in detail. By focusing on the sign (positive/negative) of difference values rather than their full magnitude, the system achieves sufficient field order detection with reduced computational complexity, avoiding excessive processing while maintaining video quality.
Data Source
AI summary
The invention provides a method, system and computer program product for detecting field order of a video sequence. The method includes processing a top and bottom field picture of a first frame and a second frame, in which the first and second frames are consecutive frames of a video sequence. Difference frames are obtained by calculating the difference of the top and bottom field pictures of the first and second frames. Thereafter, field order is detected using the difference frames.