Image Evaluation Using Lens-Specific Criteria for Digest Reproduction
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Solution Overview
Problem
Existing image processing technologies for digest reproduction often result in scene bias, particularly when using different lenses, leading to erroneous judgments in image selection and suboptimal digest reproduction quality.
Innovation Solution
An image processing apparatus and method that acquires shooting information for each image, derives evaluation values based on lens-specific criteria, and ranks images for digest reproduction, adjusting evaluation criteria according to the lens used in shooting to ensure accurate selection and high-quality reproduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If uniform evaluation criteria are applied to images captured with different lenses, then the evaluation process is simple, but images with different lens characteristics are erroneously judged and digest reproduction quality deteriorates
Solution Approach 1:
The patent applies local quality by establishing different evaluation criteria for different lens types. Specifically, images captured with lenses having a maximum aperture of F2.8 or higher are evaluated using criteria that account for peripheral bokeh characteristics, while images from other lenses use different criteria. This allows each lens type to be evaluated according to its specific characteristics rather than a uniform standard, thereby improving evaluation accuracy without significantly increasing overall system complexity.
Solution Approach 2:
The patent changes evaluation parameters based on lens characteristics. The evaluation criterion selection is dynamically adjusted according to the maximum aperture value of the lens used. When the maximum aperture is F2.8 or higher, a specific evaluation criterion set is applied that considers peripheral bokeh; otherwise, a different criterion set is used. This parameter-based adaptation resolves the contradiction by making the evaluation process accurate for each lens type while maintaining a manageable overall complexity through systematic parameter management.
2Ease of operation
If audio level alone is used to select scenes for digest reproduction, then the selection process is simple, but only certain types of scenes are extracted leading to scene bias
Solution Approach 1:
The patent segments the scene selection process into multiple independent evaluation dimensions: audio level evaluation, object detection evaluation, and lens characteristic evaluation. Each dimension independently assesses different aspects of the images, and the final selection is based on comprehensive evaluation across all segments. This segmentation allows the system to maintain operational simplicity while significantly improving scene type coverage by not relying on a single evaluation criterion.
Solution Approach 2:
The patent implements a multi-functional evaluation system that simultaneously considers multiple factors: audio levels, detected objects, lens characteristics, and image quality metrics. This universal evaluation framework can adapt to various scene types by weighing different factors appropriately, thereby eliminating scene bias while maintaining a unified and relatively simple operational interface for users.
Data Source
AI summary
An image processing apparatus that selects images for digest reproduction from a plurality of images. The apparatus includes at least one processor or circuit configured to perform the operations of an information acquisition unit configured to acquire, for every image, shooting information including information on a lens used in shooting the images, an image evaluation unit configured to derive evaluation values for images based on the shooting information and an evaluation criterion, and an image selection unit configured to select images for digest reproduction by ranking images based on the evaluation values. The image evaluation unit derives the evaluation values of the images using different evaluation criteria based on characteristics of the lens used in shooting the images.