Automated Memory Creation from Moment Content Items
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Solution Overview
Problem
Existing systems fail to automatically organize and retrieve semantically related content items beyond basic object recognition and timestamp-based grouping, lacking the ability to connect temporally disparate content items and provide meaningful relationships between them.
Innovation Solution
An automated memory creation and retrieval system that clusters moment content items based on semantic tags, chronological alignment, and contextual relevance, forming memories and hierarchies, and creating links between them in a graph structure for efficient search and browsing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually organize thousands of photos by capture date, then the photos are arranged chronologically, but users must scroll through all photos to recall an event, making retrieval inefficient
Solution Approach 1:
The patent segments the large collection of photos into smaller, meaningful units called 'memories' based on semantic relationships and temporal proximity. Each memory represents a coherent event or experience, allowing users to jump directly to relevant segments rather than scrolling through all photos chronologically.
Solution Approach 2:
The patent introduces an intermediary layer (semantic tags, event detection algorithms, and memory structures) between the raw photos and the user. This intermediary automatically organizes photos into contextual groups and enables intelligent search, mediating between the chronological storage and user retrieval needs.
2Adaptability or versatility
If systems provide basic tagging based on object recognition, then simple object identification is achieved, but the grouping and search functionality fails to locate sets of content items related to concepts other than depicted objects
Solution Approach 1:
The patent adds another dimension to content organization by introducing semantic relationships and contextual metadata beyond basic object recognition. It creates a multi-dimensional search space that includes temporal, spatial, semantic, and relational dimensions, allowing users to search for concepts rather than just objects.
Solution Approach 2:
The patent creates composite content structures by combining multiple photos, metadata, semantic tags, and contextual information into integrated 'memory' units. This composite structure preserves rich contextual relationships while enabling versatile search across different dimensions.
3Adaptability or versatility
If systems arrange photos by timestamp only, then chronological organization is maintained, but the system lacks the ability to connect temporally disparate content items with meaningful relationships
Solution Approach 1:
The patent implements a nested organizational structure where photos are nested within memories, which are nested within albums or collections. This hierarchical nesting allows temporal organization at multiple levels while maintaining the ability to connect disparate items through semantic relationships at higher nesting levels.
Solution Approach 2:
The patent performs preliminary automated organization of photos into memories and albums based on detected relationships, so that when users search, the work of connecting temporally disparate items has already been done. This preliminary action reduces the complexity users would otherwise face in manually organizing such relationships.
Data Source
AI summary
The present embodiments relate to automated memory creation and retrieval from moment content items. In some implementations, the automated memory creation and retrieval system can obtain moment content items from user-designated sources with a single user perspective or multiple user perspectives. The moment content items can be assigned tags and arranged in chronological order. The arranged moment content items can be clustered into memory content items based on clustering conditions. Once memory content items are created, they can be arranged into a memory hierarchy made up of connected nodes. In some implementations, the memory content items are also linked together based on similarity in various dimensions in a memory graph. The automated memory creation and retrieval system can receive search criteria for memories from a user interface and provide the user with memories from matched nodes in the memory hierarchy or linked memories in the memory graph.