Image Evaluation Apparatus Using Motion Vector Frequency Analysis
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Solution Overview
Problem
Existing image evaluation apparatuses do not comprehensively evaluate images, leading to the selection of images that may not be overall good, as they fail to consider characteristics such as face recognition and motion vectors effectively.
Innovation Solution
An image evaluation apparatus that evaluates images by calculating frequency distributions of motion vectors and defocus amounts, using segmented regions and relative motion states, and compares these to model frequency distributions to determine the quality of images based on similarity and peak frequencies, with the ability to update evaluation standards based on user-selected images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional image evaluation methods are used, then evaluation speed is maintained, but evaluation comprehensiveness deteriorates
Solution Approach 1:
The patent divides the image into multiple segmented regions and analyzes motion vectors and defocus amounts in each region separately. This segmentation allows comprehensive evaluation of image characteristics while maintaining processing efficiency through parallel analysis of multiple regions.
Solution Approach 2:
The patent introduces multiple evaluation dimensions including motion vector frequency distribution, defocus amount frequency distribution, and relative motion state, in addition to traditional evaluation methods. This multi-dimensional approach enables comprehensive image evaluation without significantly increasing processing time.
2Measurement precision
If multiple evaluation characteristics are analyzed, then evaluation accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary calculations of motion vectors and defocus amounts during the image capture process, storing these values for later use in comprehensive evaluation. This preliminary action reduces the processing time required during the actual evaluation phase while maintaining high evaluation accuracy.
Solution Approach 2:
The patent replaces complex manual image evaluation with automated computational analysis of motion vectors and defocus amounts. This substitution of mechanical evaluation processes with computational methods significantly reduces processing time while improving evaluation accuracy through quantitative analysis.
Data Source
AI summary
To provide an image evaluation apparatus and camera which are capable of evaluating an image which is comprehensively good. An image evaluation apparatus comprising: a storage portion which stores a plurality of images when an imaging portion of a camera has continuously imaged in a predetermined time interval a plurality of frames of a subject in a photographing area of the camera, and an image evaluation portion which evaluates a plurality of the images stored in the storage portion, based on a characteristic amount showing a state in which the subject in the photographing area changing in chronological sequence, when the plurality of the images is imaged.