Mobile Terminal Automatic Image Effect Selection
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Solution Overview
Problem
Existing photographing devices require users to pre-select special effects or decorations, which are not adaptable to the subject or photographing conditions, resulting in limited and inappropriate output images.
Innovation Solution
A mobile terminal apparatus with an image capturing unit, storage unit, and control unit that automatically selects and applies visual effects based on analyzed subject conditions and photographing time, using a condition-table data system to determine appropriate decorations or effects for captured images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users pre-select special effects or decorations, then the photographing device can apply the selected effect to the image, but the user must spend time selecting effects and the selected effect may not be appropriate for the subject or photographing conditions
Solution Approach 1:
The photographing device automatically analyzes the captured image to detect subject information (such as person, landscape, animal, etc.) and photographing conditions, then autonomously selects and applies an appropriate special effect or decoration without requiring user selection. This self-service mechanism eliminates the time users would spend manually selecting effects while ensuring the applied effect matches the subject and shooting conditions.
Solution Approach 2:
The system implements a feedback loop where the captured image is analyzed to extract subject and condition information, which then feeds into the effect selection process. The control unit uses this feedback information to automatically determine the most suitable effect to apply, creating a closed-loop system that adapts to the specific photographing scenario.
2Adaptability or versatility
If users pre-select special effects, then the effect application process is simple, but the effects are not adaptable to different subjects or photographing conditions
Solution Approach 1:
The effect selection system is designed to be dynamic rather than static. Instead of requiring users to pre-select from fixed effect options, the system dynamically analyzes the captured image's subject information and photographing conditions in real-time, then automatically selects and applies the most appropriate effect. This dynamic adaptation enables the system to handle diverse subjects (persons, landscapes, animals, etc.) and various shooting conditions without manual intervention.
Solution Approach 2:
The system changes the parameter of effect selection from user-chosen static selection to automatically determined dynamic selection based on analyzed image parameters. By detecting subject type, scene characteristics, and photographing conditions, the control unit adjusts which effect is applied, making the system adaptable to different scenarios while managing complexity through automated parameter-based decision-making.
3Productivity
If decorations are determined in advance irrespective of the subject, then the processing is simple, but only a certain effect can be obtained no matter what kind of subject is photographed
Solution Approach 1:
The system applies the principle of local quality by tailoring the effect selection to the specific characteristics of each captured image's subject and conditions. Rather than applying a uniform pre-determined decoration to all images, the control unit analyzes the local characteristics (subject type, scene, lighting conditions) and selects effects that are specifically suited to each case, thereby maintaining high processing efficiency while achieving subject-appropriate results.
Data Source
AI summary
A terminal apparatus including: an image capturing unit configured to capture an image of a subject; a storage unit configured to store a table that associates information related to an image with at least one effect to be applied to an image; a control unit configured to detect or receive information related to the image captured by the image capturing unit, and select an effect from the table stored in the storage unit based on the detected or received information related to the image; and an image processing unit configured to apply the selected effect to the captured image.


