Image Orientation Adjustment via Content Weight Analysis

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Solution Overview

Problem

Existing methods for adjusting tilted or upside-down images on terminal equipment, such as computers and mobile devices, rely on manual operation or gravity sensors, which are tedious and ineffective, especially when the initial direction is incorrect.

Innovation Solution

A method that analyzes image content to automatically adjust images by calculating weights for human faces, characters, textural characteristics, and colors in four directions, determining the direction with the maximum weight for adjustment, thereby eliminating the need for manual operation or gravity sensors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual adjustment is used to correct picture orientation, then the picture can be adjusted to the correct direction, but the operation becomes tedious and time-consuming

Engineering Contradiction:

Improvepicture orientation accuracyVSAvoidadjustment time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs automatic picture orientation adjustment by analyzing picture contents (faces, characters, textural characteristics, colors) without requiring user intervention. The algorithm calculates orientation weights from picture elements and automatically rotates the picture to the correct direction, making the system self-servicing for orientation correction tasks

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical rotation operations with an automated image processing system that analyzes picture contents and performs rotation programmatically. This substitution eliminates the need for users to manually rotate pictures while maintaining accurate orientation correction

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Extent of automation

If gravity sensor is used to adjust picture orientation, then automatic adjustment is achieved, but the adjustment fails when the picture's initial direction is incorrect

Engineering Contradiction:

Improveautomatic adjustment capabilityVSAvoidadjustment accuracy

Core Design Contradiction:

Extent of automationVSReliability

Solution Approach 1:

The patent introduces picture content analysis (faces, characters, textural characteristics, colors) as an intermediary between the picture and the rotation operation. This intermediary provides orientation information intrinsic to the picture content itself, independent of device orientation or initial picture direction, enabling reliable automatic adjustment regardless of starting conditions

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system changes from relying on device physical orientation parameters (gravity sensor) to analyzing picture content parameters (face orientation, character orientation, textural characteristics, color distribution). This parameter change enables the system to determine correct picture orientation based on content rather than device position, improving reliability

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If multiple picture elements (faces, characters, textural characteristics, colors) are analyzed to determine orientation, then the adjustment accuracy is improved, but the system complexity increases

Engineering Contradiction:

Improveorientation detection accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent merges multiple picture element analyses (faces, characters, textural characteristics, colors) into a unified orientation weight calculation system. Each element type contributes to orientation weights that are combined and compared to determine the final picture rotation direction, integrating multiple sources of orientation information into a single decision-making framework

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system segments the picture into different element types (faces, characters, textural characteristics, colors) and analyzes each segment separately to extract orientation information. This segmentation allows the system to process complex picture content in manageable parts while maintaining comprehensive orientation analysis

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS9721327B2Method for automatically adjusting a picture according to contents of the picture at terminal equipment

Publication Date: 2017.08.01 GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD

AI summary

A method for automatically adjusting a picture right according to contents of the picture at terminal equipment is provided, including the following steps: analyzing the picture, extracting information from the picture; calculating information to obtain weight, respectively calculating the sum of information weight in each of four directions; comparing sums of information weight of the four directions to obtain the direction with the maximum weight; and adjusting the picture in the direction with the maximum weight. The method judges the direction in which the picture should be adjusted according to contents of the picture itself, avoiding manual adjustment to the picture.