3D Video Format Transformation via Disparity and Correlation Analysis
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Solution Overview
Problem
Existing 3D video display technologies face challenges in accurately determining and transforming the format of 3D video to ensure proper display of left-viewpoint and right-viewpoint videos, leading to inconsistencies in stereoscopic effects.
Innovation Solution
A method and apparatus that analyze 3D video to determine the format by estimating disparity and correlation information between pixel values, transforming the videos to display them correctly in formats such as side by side, top and bottom, horizontal line interleaved, or vertical line interleaved, ensuring accurate three-dimensional display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automatic format determination is implemented through disparity and correlation analysis, then format determination accuracy is improved, but processing complexity increases
Solution Approach 1:
The format determination process is segmented into distinct analytical components: disparity information estimation, correlation information estimation, and format determination based on these estimates. This segmentation allows each component to be processed independently, improving accuracy while managing complexity through modular processing stages.
Solution Approach 2:
The system performs preliminary estimation of disparity and correlation information before final format determination. This preliminary analysis prepares the data in advance, enabling more accurate format identification while organizing the processing workflow to handle complexity in a structured sequence.
2Adaptability or versatility
If multiple format types are supported for transformation, then adaptability is improved, but device complexity increases
Solution Approach 1:
The transformation apparatus is designed with multi-functional capability to handle multiple 3D video formats (side-by-side, top-and-bottom, interlaced formats) through a unified processing framework. This universal approach enables the same core processing logic to adapt to different formats, improving versatility while avoiding the need for separate dedicated processing paths for each format type.
3Manufacturing precision
If format transformation is performed to ensure accurate 3D display, then display quality is improved, but processing time increases
Solution Approach 1:
The system performs format determination and transformation planning in advance before actual video rendering. By pre-analyzing the input format and determining the required transformation operations beforehand, the system prepares the processing pipeline early, reducing the time required during actual video playback while ensuring accurate transformation.
Data Source
AI summary
A method of transforming a 3D video format of a 3D video, the method including receiving a video sequence comprising 3D video that includes left-viewpoint video and right-viewpoint video; estimating at least one of disparity information between the left-viewpoint video and the right-viewpoint video and correlation information between neighboring pixel values of the left-viewpoint video and the right-viewpoint video, and determining a 3D video format of the 3D video based on a result of the estimating; transforming the left-viewpoint video and the right-viewpoint video into a format, based on the determined 3D video format; and displaying the transformed left-viewpoint video and the transformed right-viewpoint video three-dimensionally on a the display device.