Object Text Generation from Multi-Modal Source Data
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Solution Overview
Problem
Users face the challenge of comprehending objects with diverse information modalities without conducting extensive searches, leading to increased browsing time and degraded user experience.
Innovation Solution
A method and apparatus for generating text that describes an object by acquiring, analyzing, and parsing data from various sources to extract material information, which is then used to create a coherent text narrative.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users browse information in multiple modalities to comprehensively understand an object, then understanding completeness is improved, but browsing time increases and user experience degrades
Solution Approach 1:
The patent segments information from multiple modalities (text, images, videos, audio) into structured data fields, organizing them separately for efficient processing and retrieval, allowing users to access comprehensive information without browsing through all modalities sequentially
Solution Approach 2:
The patent introduces an information processing system as an intermediary that automatically extracts, structures, and integrates information from multiple modalities, converting unstructured multi-modal data into organized, searchable content that users can access directly without manual browsing
2Measurement precision
If users manually search through multiple modalities to understand an object, then information accuracy is improved, but operation complexity increases
Solution Approach 1:
The patent implements self-service by enabling the system to automatically extract, verify, and structure information from multiple modalities without requiring user intervention in the information gathering process, allowing users to simply query and receive accurate results
Solution Approach 2:
The patent replaces manual mechanical browsing and information verification with automated computational processes including text recognition, image analysis, and data cross-validation algorithms that accurately process information from multiple modalities
3Quantity of substance
If comprehensive information from multiple modalities is provided, then information richness is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal information processing architecture that handles multiple modalities (text, images, videos, audio) through integrated processing pipelines, allowing the same system structure to process diverse information types without requiring separate dedicated systems for each modality
Solution Approach 2:
The patent transforms information from different modalities into a unified parameter-based data structure, converting diverse formats into standardized fields that can be stored, searched, and processed uniformly, thereby managing information richness without proportionally increasing system complexity
Data Source
AI summary
A method including acquiring source data related to an object; acquiring one or more pieces of source data related to the object; analyzing the source data to obtain one or more pieces of material information; parsing the material information to obtain one or more pieces of corresponding text paragraph information; and generating the text describing the object using the text paragraph information. Using the techniques described herein, users comprehensively understand the object according to the generated text directly without having to conduct a large number of searches.