Image Classification Unit for Automatic Camera Parameter Selection

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Solution Overview

Problem

Laymen face difficulties in acquiring high-definition images due to lack of knowledge about optimal camera settings for various image acquisition environments, leading to inconvenience and suboptimal image quality.

Innovation Solution

An apparatus and method that classify input images and select representative images and corresponding parameters from a storage unit, allowing non-professional users to replicate expert-level image acquisition by controlling camera settings automatically.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If camera settings are manually adjusted for each image acquisition environment, then image quality can be optimized, but user convenience deteriorates due to the need for expert knowledge

Engineering Contradiction:
Improveimage qualityVSAvoiduser convenience
Core Design Contradiction:
Manufacturing precisionVSEase of operation

Solution Approach 1:

The camera system automatically performs image classification and parameter selection without requiring user intervention. The control unit classifies the input image and autonomously selects optimal parameters from the storage unit, enabling the system to serve itself rather than requiring expert user knowledge for proper configuration

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Optimal parameters for various image acquisition environments are pre-calculated and stored in the storage unit during system setup or by experts. This preliminary preparation allows the camera to quickly retrieve and apply appropriate parameters without requiring users to perform complex adjustments in real-time

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If multiple camera setting methods are available for different environments, then image acquisition flexibility is improved, but device complexity increases due to multiple parameters and settings

Engineering Contradiction:
Improveimage acquisition flexibilityVSAvoidparameter management complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The parameter space is segmented into distinct groups, each corresponding to a specific image acquisition environment (e.g., indoor, outdoor, night scene). The storage unit organizes parameters by environment type, and the control unit segments the decision-making process into image classification followed by parameter selection, making the complex parameter space manageable

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The control unit acts as an intermediary between the raw image input and the parameter selection. It classifies the input image to determine the acquisition environment and then maps this classification to the appropriate pre-stored parameters, mediating the complexity by introducing a classification layer that simplifies the selection process

Inventive Principle:
Principle #24Intermediary (Mediator)

3Manufacturing precision

If expert knowledge is required for optimal image acquisition, then image quality is improved, but accessibility deteriorates for non-professional users

Engineering Contradiction:
Improveimage qualityVSAvoiduser accessibility
Core Design Contradiction:
Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The system copies expert knowledge into the pre-stored parameters in the storage unit. Experts have previously determined optimal settings for various environments, and these settings are copied and stored for automatic retrieval. This allows the camera to replicate expert-level image acquisition without requiring users to possess expert knowledge

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The camera system autonomously applies expert knowledge through automatic image classification and parameter selection. The control unit serves itself by independently determining the appropriate parameters based on image classification, eliminating the need for users to understand or manually apply expert techniques

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS8421881B2Apparatus and method for acquiring image based on expertise
Publication Date: 2013.04.16 SAMSUNG ELECTRONICS CO LTD
  • US8421881B2 patent drawing
  • US8421881B2 patent drawing
  • US8421881B2 patent drawing

AI summary

Provided are an apparatus and method for acquiring an image based on expertise, whereby laymen can also acquire a high-definition image like experts. The apparatus includes a storage unit storing representative images representing a plurality of image acquisition environments and storing parameters corresponding to the representative images, an image classification unit classifying an input image and selecting a representative image from the storing unit based on a result of the classification, a parameter extraction unit extracting parameters corresponding to the selected representative image from the storage unit, and a control unit controlling the apparatus according to the extracted parameters.