Image Setting with Object Priority for Multi-State Displays
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Electronic devices face challenges in efficiently managing and optimizing image display settings across various states, such as desktop backgrounds, lock screens, and always-on displays, due to the complexity of identifying and prioritizing objects within images.
Innovation Solution
The electronic device employs a processor to identify objects within an image, determine their priorities, remove lower-priority objects, adjust pixel values based on a maximum color value, and apply styles based on object identification and display state, using a combination of artificial intelligence and machine learning, specifically including a neural network model processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the electronic device displays images in various states (desktop background, lock screen, always-on display), then the image display functionality is enhanced, but the complexity of managing and optimizing image settings increases
Solution Approach 1:
The patent segments the image management process into distinct functional modules: object identification module, priority determination module, object removal module, pixel adjustment module, and style application module. Each module handles a specific aspect of image processing, making the overall system more manageable and maintainable despite handling multiple display states.
Solution Approach 2:
The patent applies preliminary actions by pre-defining priority criteria for different objects and pre-establishing style templates that can be automatically applied. The system prepares image processing rules in advance, so when an image needs to be displayed in any state, the processing follows predetermined patterns, reducing the complexity of real-time decision-making.
2Manufacturing precision
If the processor identifies and prioritizes objects within images, then the image optimization is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent applies local quality by focusing processing resources on specific regions of interest within the image. The object identification and priority determination are concentrated on key elements rather than uniformly processing the entire image, which improves optimization quality for important areas while reducing overall processing time.
Solution Approach 2:
The patent changes processing parameters dynamically based on the identified objects and their priorities. For high-priority objects, more detailed processing is applied, while for lower-priority objects, simplified processing is used. This parameter adaptation allows the system to achieve good optimization results without consistently using maximum processing resources.
3Manufacturing precision
If the electronic device removes lower-priority objects from images, then the image quality for specific display states is improved, but the loss of information from the original image occurs
Solution Approach 1:
The patent applies dynamics by making the image processing adaptive to different display states. The same original image can be processed differently depending on whether it's for desktop background, lock screen, or always-on display. Objects are removed or modified dynamically based on the target display state and its specific requirements, rather than applying a fixed processing rule.
Solution Approach 2:
The patent uses preliminary action by pre-determining which objects should be removed or modified based on their priority levels and the intended display state. This allows the system to make informed decisions about information loss before actually processing the image, ensuring that only necessary modifications are made to achieve the desired quality for each specific display context.
Data Source
AI summary
An electronic device and a method for setting an image are provided. The electronic device includes memory, including one or more storage media, storing instructions, a display, and at least one processor communicatively coupled to the memory and the display, wherein the instructions, when executed by the at least one processor individually or collectively, cause the at least one processor to identify an object from an image, identify a priority of the identified objects, identify the main object based on the identified priority, and remove a lower-priority object according to a preset criterion, adjust a pixel value of the image based on the maximum value of a preset color, identify a style based on at least one of the identified object or a state of a pixel element of the display, and control the display to display an image to which the identified style is applied.