Visual Data Discovery via Resolution Segmentation
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Solution Overview
Problem
Current data management systems face challenges in efficiently retrieving and presenting large volumes of data to users, as both one-by-one and all-out retrieval methods either limit access to relevant information or consume excessive network bandwidth and computational resources.
Innovation Solution
A system that uses visual and audible representations of data, allowing users to interactively adjust resolution for discovery, where data is initially provided at low resolution and detailed information is sent only when requested, optimizing bandwidth and resource usage while enabling access to all available information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all-out retrieval is used to provide comprehensive information, then users can access all available data, but network bandwidth consumption and computing resource consumption increase significantly
Solution Approach 1:
The patent segments data into multiple resolution levels (low resolution summary data and high resolution detailed data). Users first receive low resolution data to understand the overall structure, then can selectively request high resolution data for specific portions they wish to explore in detail, avoiding transmission of all high resolution data at once.
Solution Approach 2:
The patent applies local quality by providing different data resolutions in different regions of the data space. Frequently accessed or important data regions are provided at high resolution, while less critical regions are provided at low resolution. This allows comprehensive information access while optimizing bandwidth by not transmitting all data at maximum resolution.
2Loss of information
If all-out retrieval is used to provide comprehensive information, then users can access all available data, but computing resource consumption increases significantly
Solution Approach 1:
The patent segments data processing into multiple resolution levels. The system first processes and transmits low resolution summary data, which requires minimal computing resources. Users can then selectively request high resolution detailed data for specific portions, allowing comprehensive information access while avoiding the computational burden of processing and transmitting all high resolution data simultaneously.
3Loss of energy
If one-by-one retrieval is used to reduce bandwidth consumption, then network bandwidth and computing resources are saved, but users cannot discover other available information
Solution Approach 1:
The patent implements a dynamic data retrieval system where the data resolution and detail level adjust based on user interactions. Initially, low resolution summary data is provided to enable broad exploration and discovery. As users interact with specific data portions, the system dynamically increases resolution for those specific regions, allowing both efficient bandwidth usage and comprehensive information discovery.
Solution Approach 2:
The patent uses feedback mechanisms where user interactions with low resolution data trigger automatic requests for high resolution detailed data. The system monitors user behavior patterns and uses this feedback to pre-fetch and provide high resolution data for portions users are likely to explore, enhancing information discovery while optimizing bandwidth consumption through intelligent prediction.
4Loss of energy
If one-by-one retrieval is used to reduce resource consumption, then bandwidth and computing resources are saved, but access to relevant information is limited
Solution Approach 1:
The patent creates a dynamic data access system that adapts resolution and detail levels based on user needs. Users can explore data at low resolution to understand overall structure, then selectively access high resolution detailed data for specific portions. This dynamic approach provides both resource efficiency and flexible adaptability, allowing users to access comprehensive information at varying detail levels according to their specific needs.
Data Source
AI summary
Techniques for managing and discovering data using visual or audible representations may be provided. The data, in some examples, may correspond with individual items, and the system may correlate each item with a representation of the item (e.g., for navigation, for accessibility, etc.). The representations may be provided to allow discovery of the items in response to adjusting the resolution, audibly requesting information, or panning across a display to discover items that are displayed as these representations outside of the original presentation of representations. In some examples, the representation of the item may not be unique to the item or may be represented as a placeholder image or description. The higher the resolution, the more detail about the item may be provided. When an item is selected, item data may be provided that corresponds with the item.