Personalized Focus Rendering for Variable Depth of Field Photos

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Solution Overview

Problem

Existing variable depth of field photography technologies require manual user selection of focus points, limiting dynamic and personalized focus experiences, especially in social network sharing scenarios where different viewers may have unique relationships and interests.

Innovation Solution

A system and method that utilize social network data to automatically determine and render personalized focus points for variable depth of field photographs, considering user relationships, relevance, and engagement history, eliminating the need for manual focus selection by either the sharing or receiving user.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual user selection of focus points is used, then user control over focus is improved, but user engagement and personalization are limited

Engineering Contradiction:
Improveuser controlVSAvoidpersonalization
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system automatically determines focus points by analyzing social network data, relationships, and engagement metrics without requiring manual user selection. The algorithm serves itself by autonomously identifying which elements should be in focus based on contextual relevance to each viewing user, eliminating the need for manual intervention while maintaining personalization.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts focus parameters based on varying social network data, user relationships, and engagement history. By changing the contextual parameters that determine focus selection, the system adapts the focus point to each individual user's perspective and interests, achieving high personalization without manual input.

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If automatic focus determination using social network data is implemented, then personalization and adaptability are improved, but system complexity increases

Engineering Contradiction:
ImprovepersonalizationVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system pre-processes and stores social network data, user profiles, and relationship information in advance. By having this contextual data readily available before a photograph is viewed, the system can quickly determine focus points without performing complex real-time analysis, thereby reducing the apparent system complexity during operation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary algorithm that acts as a mediator between the raw social network data and the focus determination process. This intermediary layer processes and interprets complex social network relationships, converting them into simplified focus decisions, thereby managing system complexity through modular processing.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If multiple rendered versions of the same photograph are created for different users, then user engagement is improved, but processing time and computational resources increase

Engineering Contradiction:
Improveuser engagementVSAvoidprocessing time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

Instead of processing entire photographs differently for each user, the system applies local quality changes only to the specific focus regions that differ between users. By rendering variations only where necessary (the focus area) rather than the entire image, the system reduces processing time and computational resources while maintaining personalized user experiences.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system pre-identifies potential focus candidates and pre-processes their corresponding renderings based on anticipated user profiles. By preparing multiple focus options in advance before actual user viewing, the system reduces real-time processing requirements and can quickly deliver personalized versions without significant delays.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10169849B2Contextual personalized focus for variable depth of field photographs on social networks
Publication Date: 2019.01.01 AIRBNB INC
  • US10169849B2 patent drawing
  • US10169849B2 patent drawing
  • US10169849B2 patent drawing

AI summary

Systems and methods for automatically rendering variable depth of field photographs are disclosed. A method includes: receiving, by a computer device, a photograph; determining, by the computer device, a viewing user to receive the photograph; determining, by the computer device, a contextual personalized focus for the photograph for the viewing user; rendering, by the computer device, a version of the photograph based on the determined contextual personalized focus; and providing, by the computer device, the rendered version of the photograph to the viewing user.