Multimodal Context Generation for Information Retrieval
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Solution Overview
Problem
Current computer systems rely predominantly on textual queries for information retrieval and lack the capability to effectively provide information services related to multimodal inputs such as visual imagery and other forms of multimodal data.
Innovation Solution
A system and method for generating contexts from multimodal inputs, including multimedia content, metadata, and knowledge sources, to enable the retrieval and mapping of information services relevant to these contexts, allowing for the storage, retrieval, and management of associated information services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If computer systems rely on textual queries for information retrieval, then the system structure remains simple, but the system cannot effectively provide information services related to multimodal inputs such as visual imagery
Solution Approach 1:
The patent implements a universal information retrieval system that can process multiple types of inputs (textual, visual, audio) through a single unified architecture. The system uses multimodal context generation that integrates different input types and converts them into standardized context representations, allowing the same retrieval mechanisms to handle diverse query types without requiring separate specialized systems for each modality.
2Measurement precision
If the system generates contexts from multimodal inputs including multimedia content and metadata, then information retrieval accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The patent implements context generation mechanisms that pre-process and structure multimodal inputs into standardized context representations before actual information retrieval occurs. By preparing contextual information in advance and organizing metadata into structured formats, the system reduces the computational burden during query processing, allowing accurate retrieval without proportional increases in processing time.
3Reliability
If the system integrates knowledge sources and generates multimodal contexts, then the quality of information services improves, but the complexity of context management increases
Solution Approach 1:
The patent introduces context representations as intermediary structures that mediate between diverse knowledge sources and the information retrieval processes. These standardized context formats act as a common language that integrates information from multiple knowledge sources without requiring direct management of each source's complexity, simplifying the overall system architecture while maintaining high information service quality.
Data Source
AI summary
A system and method provides information services related to multimodal inputs. Several different types of data used as multimodal inputs are described. Also described are various methods involving the generation of contexts using multimodal inputs, synthesizing context-information service mappings and identifying and providing information services.