Hierarchical Data Package Decoding for Fast Relevance Filtering
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Solution Overview
Problem
Devices often struggle to quickly and efficiently identify relevant information from large data sets received over high-bandwidth networks, especially when processing power or memory is limited, leading to unusable data in emergency or real-time situations.
Innovation Solution
A hierarchical multi-layer data package is encoded with summaries and metadata, allowing devices to 'skim' and determine whether to decode data in the current layer or drill down to lower layers for more detailed information, optimizing compression based on available resources and network goals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If large amounts of data are transmitted over high-bandwidth networks, then data transmission speed is improved, but the ability to quickly identify relevant information deteriorates due to data volume and processing limitations
Solution Approach 1:
The patent segments large data sets into hierarchical layers with summaries at upper levels and detailed data at lower levels. This allows receiving devices to first process summaries to identify relevant sections, then drill down only to necessary detailed levels, significantly reducing time to find relevant information while maintaining complete data availability.
Solution Approach 2:
The patent creates summaries and metadata in advance during the encoding phase, before data transmission. These preliminary processed elements enable receiving devices to quickly assess data relevance without immediately processing the entire large data set, thus reducing identification time while preserving full data integrity.
2Loss of information
If devices process large data sets to identify relevant information, then information completeness is improved, but processing resource requirements worsen beyond available capacity
Solution Approach 1:
The hierarchical structure divides data into manageable layers where summaries provide overviews and detailed sections contain specific information. Devices can process only the summary layer to identify relevance, avoiding the need to process entire large data sets, thus reducing power requirements while maintaining access to complete information when needed.
Solution Approach 2:
The patent enables devices to perform partial processing by evaluating summaries and metadata without fully processing all detailed data. This partial action approach reduces processing power requirements significantly while still allowing access to complete information by drilling down to specific lower layers only when necessary.
3Productivity
If data are organized from sender's perspective for efficient transmission, then transmission efficiency is improved, but data usability at receiving end deteriorates due to mismatched organization
Solution Approach 1:
The patent applies different organizational structures to different parts of the data package. Summaries and metadata are organized for quick scanning and relevance assessment, while detailed data sections maintain their original sender-oriented organization. This local differentiation allows receiving devices to efficiently navigate to relevant sections without requiring complete reorganization of all data.
Solution Approach 2:
The patent introduces summaries and metadata as intermediary elements between the sender's organized data and the receiver's information needs. These intermediaries provide a receiving-device-oriented interface that maps to sender-oriented detailed data, enabling efficient navigation and access without requiring complete reorganization of the underlying data structure.
Data Source
AI summary
A hierarchical decoder is operable to decode a hierarchical multi-layer data package. The hierarchical multi-layer data package includes a plurality of layers and one or more subpackages in each layer. To decode the data package, an objective function is created based on parameters for identifying data in the data package most relevant to information of interest. Subpackages in one or more layers are evaluated using the objective function and a subpackage is selected. Information for the selected subpackage, which may include a summary and metadata, is used to determine whether the subpackage satisfies an information need. If the information need is not satisfied, a drill down procedure is performed to evaluate subpackages in a next lower layer of the data package.