Symbology Encoding in Video Data Frames
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Solution Overview
Problem
Conventional video architectures are inadequate for supporting the bandwidth and timing requirements of ultra-high definition (UHD) image sensors, leading to inefficient data transport and loss of information, as they often rely on legacy HD video standards that cannot handle the higher pixel density and require costly proprietary solutions or compression techniques that compromise data integrity.
Innovation Solution
A system and method that breaks down UHD video data into manageable segments, distributing them across multiple HD video channels using existing SMPTE standards, with metadata for lossless reconstruction, enabling real-time processing and accurate alignment of frames without resampling, and separating symbology information for flexible display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UHD video data is transported using legacy HD video architectures, then existing infrastructure can be utilized, but bandwidth and timing requirements cannot be met resulting in data loss
Solution Approach 1:
The UHD video data stream is divided into multiple separate HD video channels, each carrying a portion of the original data. This segmentation allows the data to be transported through existing HD infrastructure while maintaining the total bandwidth capacity needed for UHD resolution.
Solution Approach 2:
The patent transitions from a single-channel UHD transport approach to a multi-channel HD transport approach, effectively adding a temporal and spatial dimension to data transmission. Multiple HD channels operate in parallel to collectively carry the UHD data load.
2Quantity of substance
If video compression techniques are used to transport UHD data, then bandwidth requirements are reduced, but data integrity is compromised making raw sensor data unavailable
Solution Approach 1:
Instead of compressing the UHD data, the patent segments it into multiple uncompressed HD channels. This preserves the raw sensor data integrity while distributing the bandwidth requirements across multiple channels that collectively provide sufficient capacity.
3Reliability
If new proprietary video architectures are developed for UHD, then bandwidth and timing requirements are met, but cost and complexity increase significantly
Solution Approach 1:
The patent makes existing HD video infrastructure multi-functional by using it to transport UHD data through clever segmentation and synchronization techniques. This eliminates the need for proprietary UHD-specific hardware while maintaining timing precision.
Solution Approach 2:
The patent creates multiple copies of HD-channel-capable equipment that work in parallel to transport segments of the UHD data stream. This approach uses proven, standardized HD technology rather than developing new proprietary UHD hardware.
4Quantity of substance
If UHD data is split into multiple packets for transport, then existing HD infrastructure can be used, but processing steps increase preventing real-time display
Solution Approach 1:
The patent performs preliminary organization of UHD data into sequentially-ordered HD channel segments before transmission. This pre-packaging with embedded synchronization information allows receiving equipment to rapidly reassemble the data without extensive processing delays.
Solution Approach 2:
The patent incorporates synchronization metadata and timing information within each HD channel segment, creating a feedback mechanism that enables receiving equipment to automatically align and reassemble segments in real-time without buffer delays.
Data Source
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AI summary
A sensor data processing apparatus can be coupled to multiple image sensors of different types. The apparatus encodes symbology metadata in metadata space of image frames and maintains raw data from the sensors in the frames. The symbology metadata identifies a type of symbol that can be overlaid on the frame along with a location in the frame that identifies where the symbol can be overlaid. The apparatus transports the frames including the symbology metadata to an output path without overlaying symbology onto the raw data in the frames. Post processing can be performed to selectively overlay symbology in the image of a corresponding frame based on the symbology metadata.