Neural Network Content Editor for Automated Editing

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Solution Overview

Problem

Editing content items on computer technology is time-consuming and difficult for end users due to unfamiliarity with input commands, errors in keyboard or voice command inputs, and limitations on resource-constrained devices.

Innovation Solution

A neural network-based editing tool that computes change representations from pairs of content item versions to predict updated content items, reducing user input burden by automating the editing process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If automated editing tools are implemented, then ease of operation is improved, but device complexity increases

Engineering Contradiction:

Improveease of operationVSAvoiddevice complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent introduces an automated editing tool as an intermediary between the user and the content editing process. This tool uses natural language processing and machine learning models to interpret user intent and automatically perform editing operations, thereby improving ease of operation while managing device complexity through software-based solutions rather than hardware modifications

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces traditional mechanical or manual editing systems with an automated intelligent system that uses natural language understanding and machine learning. This substitution eliminates the need for users to manually navigate complex editing interfaces or understand technical commands, improving ease of operation while the complexity is contained within the software architecture

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If manual editing methods are used, then device complexity is reduced, but productivity decreases

Engineering Contradiction:

ImproveproductivityVSAvoiddevice complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated editing tool enables self-service editing by allowing users to simply provide natural language instructions or select from predefined editing templates. The system then autonomously performs the editing operations, significantly improving productivity while keeping the user interface simple and the device complexity manageable

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by pre-processing user input, understanding intent, and automatically generating edited versions before final review. This preliminary automated processing improves productivity by handling time-consuming editing tasks while the complexity is managed through efficient algorithm design and processing pipelines

Inventive Principle:

Principle #10Preliminary action

3Loss of time

If automated editing is implemented, then time consumption is reduced, but manufacturing precision worsens

Engineering Contradiction:

Improvetime consumptionVSAvoidmanufacturing precision

Core Design Contradiction:

Loss of timeVSManufacturing precision

Solution Approach 1:

The automated editing tool incorporates feedback mechanisms where the system generates edited versions, presents them to users for review, and allows iterative refinement. This feedback loop ensures that while automation reduces time consumption, the precision and quality of edits are maintained through user verification and system learning from corrections

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system employs dynamic editing approaches where the level of automation and precision can be adjusted based on task requirements. For critical edits, the system allows more manual review steps, while for routine edits, it operates with higher automation. This dynamic approach balances time consumption with manufacturing precision across different editing scenarios

Inventive Principle:

Principle #15Dynamics

4Ease of operation

If traditional editing interfaces are used, then device complexity is minimized, but ease of operation worsens

Engineering Contradiction:

Improveease of operationVSAvoiddevice complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The automated editing tool provides a universal interface that handles multiple types of content and editing operations through a single unified system. Users can edit text, images, code, or other content types using the same natural language interface, improving ease of operation while the multi-functionality is managed through modular software architecture that keeps device complexity controlled

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11150875B2Automated content editor

Publication Date: 2021.10.19 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

An editing tool is described which has a memory storing a neural network having been trained to compute a change representation from pairs, each pair comprising a representation of a first version of a content item and a second version of the content item, and for each of the change representations, predict an updated content item from the change representation and the first version of the content item. The editing tool has a processor configured to receive an input content item and to compute an updated version of the input content item according to a change representation, using the neural network.