Photo Sharing via Attention Map Grouping
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Solution Overview
Problem
The challenge lies in efficiently sharing photos among multiple users, particularly when numerous photos of the same object are captured, with varying perspectives and attention levels, without a systematic way to prioritize or group them based on attention and social connections.
Innovation Solution
A method and system that collect photos from multiple users using devices capable of tracking user gazes, generate an attention map to determine attention levels, and group photos based on these maps, displaying them to users based on predetermined criteria such as attention thresholds and social connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If numerous photos of the same object are collected from multiple users, then the quantity of photos increases, but the difficulty of selecting and prioritizing photos increases
Solution Approach 1:
The patent segments the collection of photos by dividing them into distinct groups based on attention maps and gaze tracking data. Each group contains photos of the same object from similar perspectives and attention levels, making the large collection manageable and easier to navigate for users.
Solution Approach 2:
The patent introduces attention maps and gaze tracking data as intermediary elements that mediate between the raw photo collection and the final photo sharing. These intermediaries automatically prioritize and organize photos based on user attention patterns, eliminating the need for manual selection.
2Ease of operation
If photos are grouped based on attention maps and gaze tracking, then the ease of operation improves, but the device complexity increases
Solution Approach 1:
The patent implements self-service by using automatic attention mapping and gaze tracking to organize photos without requiring user intervention. The system autonomously analyzes user attention patterns and groups photos accordingly, making the photo sharing process simple and intuitive for end users.
Solution Approach 2:
The patent replaces manual photo selection and organization mechanisms with automated computer vision and data processing systems. Attention maps and gaze tracking algorithms automatically perform the organization function that would otherwise require manual user action.
3Measurement precision
If gaze tracking and attention mapping are implemented, then the accuracy of photo prioritization improves, but the loss of information increases
Solution Approach 1:
The patent extracts only the necessary attention and gaze information from the full photo data while preserving the complete photo collections. The attention maps and gaze tracking data are used solely for organization and prioritization, while the actual photo content remains intact and accessible to users.
Data Source
AI summary
Implementations generally relate to sharing photos. In some implementations, a method includes collecting photos associated with one or more objects, where the photos are collected from a plurality of users. The method also includes collecting attention information associated with the one or more objects. The method also includes generating an attention map based on the attention information. The method also includes grouping the one or more photos into groups of photos based on the attention map. The method also includes causing the groups of photos to be displayed to a target user based on one or more predetermined criteria.