Object Recognition Photo Filters for Mobile Context
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Solution Overview
Problem
The increasing number of digital photographs taken with mobile devices has created a need for enhanced features that were previously associated with dedicated digital and film cameras, particularly in personalizing and augmenting photographs.
Innovation Solution
A system and method for generating and distributing photo filters based on object recognition in photographs, allowing users and merchants to create and bid on filters that can be applied to images, including geo-fenced and context-specific content, using a client-server architecture with modules for user-based and merchant-based filter publication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mobile devices are used to take photographs, then accessibility and ease of operation are improved, but manufacturing precision and image quality are worsened compared to dedicated cameras
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting image processing parameters such as brightness, contrast, saturation, and other photographic attributes through filters. This allows mobile device photographs to achieve enhanced visual quality and artistic effects that compensate for the inherent limitations of mobile camera hardware, thereby improving perceived image quality without sacrificing ease of operation.
2Manufacturing precision
If dedicated digital cameras are used, then manufacturing precision and image quality are improved, but ease of operation and accessibility are worsened
Solution Approach 1:
The patent employs copying by replicating professional camera features and effects within mobile device applications. Through software-based filters that copy the functionality of dedicated camera accessories and post-processing tools, users can achieve professional-quality image enhancement on mobile devices, eliminating the need to switch between device types while maintaining ease of operation.
3Adaptability or versatility
If photo filters are generated based on object recognition, then adaptability and personalization are improved, but device complexity and processing requirements are worsened
Solution Approach 1:
The patent applies preliminary action by pre-categorizing filters based on common object types and scenarios. The system performs preliminary object recognition and classification to identify the subject matter, then automatically selects and applies appropriate pre-configured filters. This approach enhances adaptability to different photograph contexts while minimizing the complexity of real-time filter generation and selection.
Solution Approach 2:
The patent uses an intermediary approach by introducing a middle layer of object recognition and classification between the raw photograph and the filter application. This intermediary process automatically identifies photograph content and matches it with suitable filters, reducing the need for complex user decisions while maintaining high adaptability. The intermediary layer simplifies the overall system by handling the matching logic centrally rather than requiring complex integration across multiple components.
Data Source
AI summary
Systems and methods for distributing photo filters based on the location of the object in the image are described. A photo filter publication system detects that a client device in communication with the system has captured an image, identifies an object in the image, identifies a location of the object in the image, identifies an image overlay associated with the identified location and having object criteria satisfied by the identified object, and provides the identified image overlay to the client device.