Metadata Decoding Using Packet Counters to Skip Redundant Updates
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Solution Overview
Problem
Existing data encoding and decoding methods fail to efficiently determine whether metadata has been updated or remains unchanged, leading to redundant decoding processes.
Innovation Solution
The method employs unique location information or a cycle of inserting metadata packets into a transmission stream to determine metadata updates, allowing for efficient encoding and decoding by skipping redundant metadata decoding when no changes are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If metadata is decoded in every transmission cycle, then data completeness is ensured, but computational complexity increases and redundant processing occurs
Solution Approach 1:
The patent applies partial action by decoding only the necessary portion of metadata. Instead of fully decoding all metadata packets in every transmission cycle, the system selectively decodes only those packets that contain updated information, determined by comparing packet counters and metadata change indicators. This reduces computational complexity while ensuring data completeness for relevant metadata.
Solution Approach 2:
The patent extracts the essential information needed to determine metadata updates without performing full decoding. By extracting and comparing packet counters and metadata change indicators from transmitted packets, the system identifies which metadata packets require decoding, thereby avoiding redundant processing while maintaining data completeness.
2Speed
If metadata packets are transmitted frequently, then data update timeliness is improved, but transmission overhead increases
Solution Approach 1:
The patent implements periodic action through structured metadata packet transmission with regular intervals. Metadata packets are transmitted at defined periods with consistent formatting including packet counters and change indicators. This periodic structure enables the receiver to efficiently track updates without requiring continuous or overly frequent transmissions, balancing timeliness with reduced overhead.
Solution Approach 2:
The patent uses parameter changes in metadata packet structure to optimize transmission. By incorporating packet counters and metadata change indicators as specific parameters, the system enables the receiver to quickly determine whether full decoding is necessary. This parameter-based approach allows frequent updates to be communicated efficiently without transmitting redundant data, reducing transmission overhead while maintaining update timeliness.
3Measurement precision
If all metadata packets are processed, then data accuracy is maintained, but processing time increases
Solution Approach 1:
The patent applies preliminary action by performing preliminary checks on metadata packets before full decoding. The receiver first examines packet counters and metadata change indicators to determine whether a packet contains updated information. Only packets that pass this preliminary check are subjected to full decoding, thereby maintaining data accuracy for relevant packets while significantly reducing overall processing time by skipping redundant packets.
Solution Approach 2:
The patent implements skipping by allowing the receiver to bypass full decoding of metadata packets that contain no changes. By using packet counters and change indicators to identify unchanged packets, the system rushes through the identification process and skips directly to processing only those packets that require decoding, thus maintaining data accuracy while minimizing processing time.
Data Source
AI summary
Provided are a meta data encoding/decoding method and apparatus. The meta data decoding method includes decoding a media signal containing a media object, and decoding meta data corresponding to the media object. During the decoding of the meta data signal, decoding of the meta data is skipped when the meta data that is to be decoded is identical to already decoded meta data.


