Digital Memory Creation Using Cross-Content Tag Connections
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing digital memory services are limited to photos and videos, lacking the ability to leverage metadata across multiple content types such as messages, transcribed calls, and payments to create emotionally rich and comprehensive memories.
Innovation Solution
A method and system for associating tags with diverse content types like messages, links, files, and location history, determining connections with photos and videos, and identifying meaningful memories based on user relationships and emotional significance, to create digital memories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital memory services are limited to photos and videos, then the system complexity is low, but the comprehensiveness of memory content is insufficient
Solution Approach 1:
The patent extends the memory service to handle multiple content types beyond photos and videos, including messages, call logs, contact information, and location data. The system uses a unified tagging mechanism that works across all these different content types, allowing a single service framework to serve multiple memory creation functions without requiring separate specialized systems for each content type.
Solution Approach 2:
The patent introduces tags as an intermediary element that bridges different content types. Tags serve as a common language and connection mechanism between photos, videos, messages, calls, and location data, enabling the system to relate and organize diverse content without requiring complex direct integration between each content type.
2Ease of operation
If automatic photo tagging is used, then the ease of operation is high, but the emotional significance and contextual depth of memories are limited
Solution Approach 1:
The patent combines automatic tagging with manual user input by merging both approaches into a single unified tagging system. The system automatically generates initial tags from metadata and image recognition, then allows users to add, refine, or correct tags based on their personal understanding of the memory's emotional significance. This combination maintains ease of operation while preserving and enhancing contextual depth.
Solution Approach 2:
The system incorporates user feedback loops where users can review automatically generated tags and memories, provide corrections, and add personal interpretations. This feedback mechanism allows the system to learn from user interactions and improve its ability to capture emotional context in future memory creations, balancing automation with human insight.
3Adaptability or versatility
If multiple content types are aggregated to create comprehensive memories, then the comprehensiveness of memory content is improved, but the difficulty of processing and connecting diverse data increases
Solution Approach 1:
The patent uses tags as an intermediary layer that simplifies the connection between diverse content types. Instead of requiring complex direct relationships between messages, calls, photos, and locations, the system uses shared tags as common reference points. For example, a tag like 'family gathering' can connect photos, messages, call logs, and location data all related to the same event, making the system easier to process and measure.
Solution Approach 2:
The patent segments the complex task of connecting diverse data into smaller, manageable components by first organizing content into distinct categories (messages, calls, photos, locations) and then creating connections between these segments through shared tags. This segmentation approach breaks down the complex data connection problem into simpler, more manageable sub-tasks.
Data Source
AI summary
To provide a memory service, tags are associated with content including photos/videos as well as messages, links, files, call transcripts, payment transaction information, location history, contacts, and/or activity information in an electronic device. Connections are determined between items of the content and photos/videos. A memory is identified as meaningful for a user according to characteristics of a relationship between the user and another person; frequency of communication between the user and the person; content of communication between the user and the person; characteristics of an event or an activity associated with the memory; and characteristics of a location associated with the memory. Digital content aggregated for the meaningful memory includes at least some of the tagged content and at least some of the photos/videos. Based on the aggregated digital content, a digital memory is created allowing the user to reexperience the meaningful memory.


