Image Metadata Event Association Method
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Solution Overview
Problem
Existing image capture technologies fail to effectively record and preserve events that occur between discrete image captures, leading to a loss of valuable information as users rely on memory or external notes to recall events not documented through images.
Innovation Solution
A method and system that detect and collect information about events occurring between image captures, transforming this information to be associated with subsequent images as metadata, ensuring that events are preserved even if the original images are deleted or modified.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If events information is stored separately from images, then information preservation is improved, but device complexity increases
Solution Approach 1:
The patent combines event information and image data into a unified metadata structure. Event details (type, location, time) are merged with image metadata in a single data container, eliminating the need for separate storage systems and reducing overall system complexity while ensuring information preservation.
Solution Approach 2:
The metadata structure is designed to serve multiple functions simultaneously: it stores image capture parameters, event information, location data, and timing information. This multi-functional approach eliminates the need for multiple separate storage mechanisms, resolving the contradiction between reliability and device complexity.
2Loss of information
If event information is integrated into image metadata, then information loss is reduced, but data structure complexity increases
Solution Approach 1:
The metadata structure is segmented into distinct fields: image capture parameters, event information (type, location, time), and associated data. This segmentation organizes complex information into manageable, standardized components, reducing structural complexity while preventing information loss through systematic categorization.
Solution Approach 2:
The patent transforms event information into standardized metadata parameters that conform to existing image metadata schemas. By converting diverse event data into uniform parameter formats (timestamps, coordinate systems, standardized event types), the system reduces structural complexity while maintaining comprehensive information preservation.
3Loss of information
If multiple data types are associated with images, then information completeness is improved, but processing time increases
Solution Approach 1:
Event information and metadata are collected and organized during the event occurrence itself, before image processing begins. This preliminary organization of data into standardized formats reduces the processing burden during subsequent operations, maintaining information completeness while minimizing processing time delays.
Data Source
AI summary
A method, system, and computer program product for saving events information in image metadata are provided in the illustrative embodiments. A first event is detected at a first time, using a processor and a memory in a device. Information related to the first event is collected. At a second time, the capturing of a first image is detected, the second time being later than the first time. The information related to the first event is associated with the first image as first metadata of the first image.