Gesture Translation Layer for Image Filter Input Mapping
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Solution Overview
Problem
Complex image processing routines on portable electronic devices, such as graphically intensive image filters, pose challenges for client software applications in interpreting and processing user interactions and device inputs due to the complexity of inputs and logical considerations.
Innovation Solution
Implementing a programmatic interface that maps user interactions, such as gestures, to input parameters of image processing routines through a gesture translation layer, allowing client applications to pass relevant information without needing to handle logical operations, and using device inputs like orientation and sensors to apply image filters in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If complex image processing routines are implemented on portable electronic devices, then image processing capabilities are improved, but client software applications become difficult to interpret and process user interactions correctly
Solution Approach 1:
The patent introduces a gesture translation layer as an intermediary component between the client software application and the image processing routines. This layer receives gestures from the user interface, translates them into appropriate input parameters for image processing routines, and handles the complexity of coordinate transformations and device orientation adjustments. The client application only needs to pass gestures to this layer without needing to understand the complex mapping logic, thus resolving the contradiction between enhanced image processing capabilities and software interpretation difficulty.
2Adaptability or versatility
If the number of image processing functions is increased, then device functionality is improved, but user interface design becomes more challenging
Solution Approach 1:
The gesture translation layer serves as a universal interface that handles multiple image processing functions through a common mechanism. Whether the user wants to apply filters, adjust exposure, or perform focus operations, the same gesture translation infrastructure is used to map user interactions to the appropriate input parameters. This multi-functional approach allows the device to offer numerous image processing capabilities while maintaining a consistent and simple user interface design paradigm.
3Speed
If real-time image filtering is implemented, then processing speed is improved, but computational requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-translating gestures into input parameters before the actual image processing occurs. The gesture translation layer prepares the parameter mappings in advance based on the selected image processing routine and current device state, so that when real-time filtering is needed, the computational work has already been partially done. This preliminary parameter preparation reduces the computational burden during real-time execution while maintaining processing speed.
Data Source
AI summary
This disclosure pertains to systems, methods, and computer readable medium for mapping particular user interactions, e.g., gestures, to the input parameters of various image processing routines, e.g., image filters, in a way that provides a seamless, dynamic, and intuitive experience for both the user and the software developer. Such techniques may handle the processing of both “relative” gestures, i.e., those gestures having values dependent on how much an input to the device has changed relative to a previous value of the input, and “absolute” gestures, i.e., those gestures having values dependent only on the instant value of the input to the device. Additionally, inputs to the device beyond user-input gestures may be utilized as input parameters to one or more image processing routines. For example, the device's orientation, acceleration, and/or position in three-dimensional space may be used as inputs to particular image processing routines.