Information Processing Server Image Library Generation
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Solution Overview
Problem
Existing information processing techniques fail to generate user-preferred content from images taken by mobile stations, often resulting in an unexpected number of photographs that do not align with user taste.
Innovation Solution
An information processing server and client system that registers, edits, and generates an image library based on editing policies recognized from images taken during travel periods, allowing users to designate preferences and generate content conforming to their tastes, with the server storing and holding images, editing policies, and road traffic information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If photographs are automatically selected and arranged in time series sequence to create slide show, then the information processing efficiency is improved, but the number of photographs may not conform to user taste and preferences
Solution Approach 1:
The system introduces feedback mechanisms by collecting user preferences and photograph selection data, then using this feedback to refine and adjust the automatic selection algorithm. The server learns from user interactions to improve future photograph selections, ensuring both efficiency and user satisfaction.
Solution Approach 2:
The system changes parameters by dynamically adjusting selection criteria based on user preferences, time of day, location data, and photograph metadata. This allows the automatic processing to adapt to different user tastes while maintaining efficiency through algorithmic decision-making.
2Quantity of substance
If the system processes and stores all photographs taken during travel periods, then the completeness of the image library is improved, but the data storage requirement and processing complexity increase
Solution Approach 1:
The system extracts only the most relevant photographs from the complete set using automated selection criteria based on user preferences, location data, and travel information. This extraction process creates a curated subset that maintains completeness in terms of user-relevant content while reducing overall data volume and processing complexity.
Solution Approach 2:
The photograph collection process is segmented into distinct phases: initial capture, automatic selection based on multiple criteria, user feedback collection, and iterative refinement. This segmentation allows the system to manage large volumes of photographs through structured processing steps rather than attempting to handle all images simultaneously.
3Extent of automation
If the system automatically determines editing policy based on image analysis, then the automation level is improved, but the accuracy of user preference recognition may deteriorate
Solution Approach 1:
The system uses feedback from user interactions with automatically generated slide shows to improve preference recognition accuracy. User selections, modifications, and feedback are fed back into the algorithm to refine automatic editing policy determination, creating a learning loop that enhances both automation and precision over time.
Solution Approach 2:
The system performs preliminary actions by pre-analyzing photographs and pre-determining editing policies based on available data before user review. This preliminary processing reduces the burden on users while maintaining accuracy through iterative refinement based on actual user feedback and preferences.
Data Source
AI summary
An information processing server and the like are provided that can generate information in a more meaningful manner for a user on the basis of multiple images taken by a client. In response to a start of an ON period of a mobile station X, the taken image registered in a client 2 and “designated point” are associated with each other, are transmitted to an information processing server 1, and registered in a database 10. An editing policy is determined on the basis of the image registered in the database 10, or the editing policy is designated in the client 2. The images taken in a travel period of the client 2 and registered in the database 10 are edited according to the editing policy, thereby generating an “image library” in the travel period.