Image Compression Meta-Frame for Event Metadata Synchronization
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Solution Overview
Problem
Current image compression technologies fail to efficiently compress metadata transmitted with image data, leading to increased information overhead and lack of synchronization between transmitting and receiving devices, as metadata is not optimized for event information and is not provided in a structured format relative to image frames.
Innovation Solution
An image compression method that maps metadata or AI information into a standardized format using a meta-frame, combining it with encoded image frames, and prioritizing metadata based on reliability from multiple event analysis sources, with a meta-frame including mapping tables for object and situation classification, and selectively encoding motion detection and AI data for efficient transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If metadata is transmitted separately from image data, then the amount of information to be transmitted increases, but the synchronization and compatibility between transmitting and receiving devices can be ensured
Solution Approach 1:
The patent merges metadata with image data by embedding the metadata into the image data structure, creating a unified transmission unit. This combining approach reduces the total information quantity that needs separate transmission while maintaining synchronization between the image and its associated metadata through the integrated structure.
2Stability of the object's composition
If XML format is used for metadata, then the metadata can be structured, but the compression efficiency is not optimized for event information and objects
Solution Approach 1:
The patent changes the format parameters of metadata from traditional XML to a customized structured format that is optimized for event information. This new format uses simplified data structures and encoding schemes specifically tailored for image event metadata, achieving both structural organization and improved compression efficiency by eliminating XML overhead and using more compact representations.
3Quantity of substance
If lossless coding method is used for XML compression, then the metadata can be compressed, but the compression rate is not optimized for various events and situations
Solution Approach 1:
The patent applies local quality optimization by implementing different compression strategies for different types of metadata elements based on their characteristics. Event information, object data, and situation details are compressed using tailored methods that consider their specific properties and frequency of occurrence, achieving higher overall compression rates while maintaining adaptability to various event types and situations.
Data Source
AI summary
Provided are an image compression method performed by an apparatus including at least one processor and at least one memory that stores instructions executable by the at least one processor. The method includes, receiving an event information of a captured image; encoding an image frame from the captured image; generating a meta-frame by encoding a mapping table corresponding to the event information; generating a transmission packet by combining the meta-frame with the encoded image frame; and transmitting the generated transmission packet, wherein the mapping table includes a first mapping table for encoding an object type for classifying at least one object included in the event information and a second mapping table for encoding a situation class for classifying a situation of the at least one object.