Signal Processing Apparatus Metadata Extraction Register
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Solution Overview
Problem
The increasing amount of metadata in serial digital signals for video transmission leads to a significant increase in memory hardware requirements and CPU processing load, as existing systems lack efficient methods to filter and manage metadata effectively.
Innovation Solution
A signal processing apparatus that includes a signal input unit to receive video and digital signals with metadata, and a data writing unit to extract predetermined metadata based on metadata-specifying information and write it to an accumulating register, reducing memory hardware needs and CPU load. This apparatus also includes an end detection unit to automatically superimpose new metadata packets on the correct line, ensuring efficient metadata management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all metadata are accumulated and processed by CPU, then complete metadata information is available, but memory hardware size and CPU processing load increase significantly
Solution Approach 1:
The patent extracts only the necessary and useful metadata from the ancillary region rather than accumulating all metadata. The metadata extraction unit selectively extracts metadata based on predetermined conditions, removing unnecessary data before it reaches the accumulator, thus reducing memory hardware requirements while maintaining essential information.
Solution Approach 2:
The patent applies different processing qualities to different metadata items. Instead of uniformly processing all metadata with the same level of detail, the system selectively extracts metadata based on its type and importance, applying appropriate processing intensity to each metadata item to optimize the balance between information completeness and resource consumption.
2Loss of information
If all metadata are accumulated and processed by CPU, then complete metadata information is available, but CPU processing load increases significantly
Solution Approach 1:
The metadata extraction unit removes unnecessary metadata before accumulation, so the CPU only processes essential metadata items. This pre-filtering approach maintains information completeness for needed data while significantly reducing the total volume of metadata requiring CPU processing.
Solution Approach 2:
The system performs preliminary extraction and filtering of metadata before the CPU processing stage. By preparing and pre-processing metadata in advance through selective extraction, the CPU receives a reduced set of essential metadata items, thereby reducing processing load while maintaining completeness of necessary information.
3Loss of information
If CPU constantly scans ancillary region to identify metadata, then all metadata can be detected, but processing becomes inefficient and unnecessary operations increase
Solution Approach 1:
The metadata extraction unit performs preliminary identification and extraction of necessary metadata before CPU processing. This pre-processing step prepares the data in advance, so when the CPU processes metadata, it only handles essential items rather than scanning and evaluating all metadata in the ancillary region, thereby improving processing efficiency.
Solution Approach 2:
The system extracts only the necessary metadata items from the ancillary region using predetermined extraction conditions, removing unnecessary metadata before CPU processing. This selective extraction maintains detection completeness for essential metadata while eliminating wasteful scanning and processing of irrelevant data.
4Adaptability or versatility
If switchers and video routers process all metadata simultaneously, then all metadata channels are handled, but processing complexity and CPU load increase
Solution Approach 1:
The patent segments the metadata processing task by dividing it into extraction, filtering, and processing stages. The metadata extraction unit handles the initial segmentation by separating necessary metadata from unnecessary data, allowing switchers and video routers to process only essential metadata items in subsequent stages, thereby reducing processing complexity while maintaining multi-channel handling capability.
Solution Approach 2:
The system extracts and removes unnecessary metadata before it reaches the switching and routing stages. By eliminating redundant data early in the processing chain, switchers and video routers handle fewer metadata items simultaneously, reducing processing complexity while maintaining the ability to handle multiple essential metadata channels.
Data Source
AI summary
There is provided a signal input unit to prevent or reduce an increase in memory hardware on a transmitter or a receiver of a serial digital signal, and to decrease the load on a CPU. The signal input unit receives as an input a video signal and a digital signal for transmission, the digital signal for transmission including a data packet with metadata associated with the video signal. The data writing unit extracts predetermined metadata from the digital signal for transmission on the basis of metadata-specifying information and writes the extracted metadata in an accumulating register. For example, the metadata-specifying information includes header information of the data packet with the predetermined metadata. For example, the header information includes classification information indicating a classification for the predetermined metadata and auxiliary information of the predetermined meta-information.