3D Video Transmission on Legacy Infrastructure via Decimation
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Solution Overview
Problem
Legacy transport infrastructures are not designed to handle full-resolution 3D video streams, resulting in the need to downgrade resolution when transmitting stereoscopic high-definition video, with no consensus on the best decimation matrices for formats like Top-and-Bottom (TaB) and Side-by-Side (SbS) for existing 2D HD formats.
Innovation Solution
The method involves decimating each image pair by a ratio of 2, assembling composite images, and using de-interlacing techniques to reconstruct complete images, keeping spatial information from one image pair in the other, allowing for enhanced spatial resolution through de-interlacing processing, which adapts existing equipment for transmitting 3D HD programs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full-resolution 3D video streams are transmitted on legacy transport infrastructures, then transmission quality is improved, but the infrastructure cannot handle the bandwidth requirements
Solution Approach 1:
The patent segments the 3D video transmission into two passes: a first pass transmits a lower-resolution version of the 3D video stream that fits within legacy infrastructure bandwidth constraints, while a second pass transmits additional high-frequency detail information. This segmentation allows the system to distribute the total data load across two separate transmissions, each operating within the bandwidth limitations of legacy infrastructures while collectively achieving near full-resolution quality.
2Adaptability or versatility
If resolution is downgraded for transmission on legacy infrastructures, then bandwidth compatibility is improved, but spatial resolution is lost
Solution Approach 1:
The patent applies preliminary action by first transmitting a downgraded-resolution version of the 3D video stream that is compatible with legacy infrastructure bandwidth constraints. This first pass prepares the base layer that can be received and displayed on existing equipment, while preserving the opportunity for a second pass to add high-frequency detail information that will enhance the spatial resolution of the reconstructed image.
Solution Approach 2:
The patent changes the resolution parameter between two transmission passes: the first pass uses a reduced resolution parameter that fits within legacy infrastructure bandwidth, while the second pass introduces additional high-frequency parameter data that, when combined with the first pass, reconstructs an image with enhanced spatial resolution closer to the original full-resolution source.
3Adaptability or versatility
If decimation matrices are applied to reduce resolution, then transmission on legacy infrastructures is enabled, but image quality deteriorates
Solution Approach 1:
The patent segments the decimation process into two distinct stages corresponding to two transmission passes. The first pass applies decimation to create a lower-resolution stream suitable for legacy infrastructure, while the second pass captures the discarded high-frequency information. This segmentation of the decimation process allows reconstruction algorithms to combine both passes and recover image quality that would be lost in a single-pass decimation approach.
4Adaptability or versatility
If two views are inserted in place of each image, then 3D stereoscopic transmission is achieved, but the pass band doubles beyond available capacity
Solution Approach 1:
The patent applies partial action by transmitting only a portion of the full 3D video data in the first pass (at reduced resolution), and then adding the remaining high-frequency detail information in a second pass. This partial transmission approach allows the system to achieve 3D stereoscopic capability on legacy infrastructures without requiring the full doubled pass band that would be needed for complete full-resolution 3D transmission.
Data Source
AI summary
The present disclosure relates to a method for transmitting two consecutive pairs of images. The method may include decimating each image with a ratio of 2, assembling the two decimated images of each pair in a composite image, transmitting the composite images, and reconstructing complete images from the composite images. In decimation, the information removed from the images of the first pair may be kept in the images of the second pair, from the spatial point of view, and the complete images may be reconstructed by de-interlacing processing from the composite images.