Mobile Camera Tagging via Peer Device Positioning
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Solution Overview
Problem
Conventional methods for tagging people in digital photographs or videos captured using smartphones are laborious and slow, requiring manual processing for facial recognition and tagging, which is inefficient for large events or social gatherings.
Innovation Solution
A method and system that captures photographs or videos and automatically tags them with identities of mobile devices within the shooting area using positional and orientational detectors, allowing peer mobile devices to report their positions and identities directly or through a server system, enabling efficient identification and tagging of individuals in the images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual facial recognition and tagging methods are used, then identification accuracy can be maintained, but the process becomes laborious and time-consuming
Solution Approach 1:
The system enables automatic self-tagging by having mobile devices report their own positional information and identities to the server, which then automatically matches this data with photograph metadata to generate tags without requiring manual user intervention for each photo
Solution Approach 2:
The patent replaces manual mechanical tagging operations with an automated electronic system that uses positional data from mobile devices, timing information, and server-based matching algorithms to automatically identify and tag people in photographs
2Productivity
If automatic tagging using mobile device positions is implemented, then tagging efficiency improves, but system complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary that receives positional information from multiple mobile devices, stores photograph metadata, performs the matching operations, and generates tags. This centralizes complexity in a dedicated component rather than requiring complex logic in each mobile device
Solution Approach 2:
The server system performs multiple functions including receiving positional data from peer devices, correlating timing information, matching positions with photograph metadata, and generating tags, thereby consolidating diverse operations into a single multi-functional system
3Measurement precision
If positional information from peer mobile devices is collected and processed, then accurate tagging is achieved, but data processing requirements increase
Solution Approach 1:
The system extracts only the essential positional information and timing data from mobile devices that are needed for tagging purposes, rather than processing all possible device data. This selective extraction reduces data processing requirements while maintaining tagging accuracy
Data Source
AI summary
A method of capturing photographs or videos and associated metadata. The method includes capturing a photograph or video using a mobile camera device at a shooting location and encompassing a shooting area, identifying a shooting area using positional and orientational detectors of the mobile camera device and known camera properties and recording a definition of the shooting area, and sending the captured photograph or video to a server system. Either at the mobile camera device or at the server system, the presence of peer mobile devices within the shooting area is identified using positional information reported by those peer mobile devices, and the captured photograph or video is tagged with identities associated with those peer mobile devices.