Automatic Image Processing Based on Caption Mood and Object
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Solution Overview
Problem
Users find it challenging to determine optimal camera settings for capturing images that depict specific moods or emphasize certain objects due to the vast number of available settings and the complexity of camera operations.
Innovation Solution
An image processing system that generates settings based on a caption associated with the image, adjusting properties like brightness, contrast, and focus to enhance the mood or emphasize specific objects, using machine learning models and object detection algorithms to determine the appropriate settings before or during image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually adjust camera settings to achieve optimal image quality for specific moods or objects, then image quality can be improved, but the complexity of operation increases and users may not understand which settings are optimal
Solution Approach 1:
The system enables automatic self-adjustment of camera settings by using machine learning models to analyze the desired mood or object and autonomously determine optimal settings without requiring user intervention or manual adjustment
Solution Approach 2:
The patent introduces an intermediary system consisting of machine learning models and processing circuits that mediate between the user's mood/object input and the camera settings, translating abstract desires into concrete technical parameters
2Manufacturing precision
If users manually configure camera settings, then specific mood or object emphasis can be achieved, but the time required to determine optimal settings increases
Solution Approach 1:
The system performs preliminary analysis of the desired mood or object using machine learning models before image capture, pre-determining the optimal camera settings in advance so that when the user takes the photo, the settings are already configured and ready for immediate capture
3Adaptability or versatility
If multiple camera settings are provided for different scenarios, then adaptability improves, but the difficulty of detecting and measuring optimal settings increases
Solution Approach 1:
The patent replaces manual mechanical selection of settings with an automated machine learning-based system that uses processing circuits to analyze the desired mood or object and automatically compute the optimal settings, eliminating the need for users to manually navigate through multiple predefined scenarios
Data Source
AI summary
An image processing device receives a caption for an image before, during, or after capture of the image by an image capture device. The image processing device generates image processing settings based on the caption, for instance based on a mood indicated in the caption or an object identified in the caption. If the caption is received before image capture, the image processing settings may include image capture settings that the image capture device may use to alter exposure or focus during image capture. Once the image is captured, the image processing device may process the image based on the image processing settings, for instance by applying filters or adjusting gain, brightness, contrast, saturation, or colors. For instance, brightness and saturation may be altered if the caption indicates a happy or sad mood, and focus may be altered to focus on an object identified in a caption.