Media Relationship Search Engine for Type and Strength Matching
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Solution Overview
Problem
Existing media content search technologies fail to effectively account for varying relationships between objects across different media files, such as the type and strength of relationships between actors in videos or images, leading to inefficient retrieval of relevant content.
Innovation Solution
A method and system that allow users to select objects in media content, define relationship types, and specify relationship strengths, using a relationship engine to identify and index media files based on these criteria, enabling precise searches for media content matching the specified relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing media content search technologies are used, then the search process is simple, but the search accuracy and relevance are insufficient because they fail to account for varying relationships between objects
Solution Approach 1:
The patent segments the search system into distinct functional modules: a relationship engine that analyzes object relationships, a metadata generator that creates relationship descriptors, and a search engine that queries using these descriptors. This segmentation allows each component to specialize in one aspect of relationship-based search, improving overall search accuracy while managing system complexity through modular design.
Solution Approach 2:
The patent applies preliminary action by pre-analyzing media files to generate relationship metadata before search queries are executed. The relationship engine processes media content in advance to identify object relationships, and this pre-computed relationship information is stored and reused during search operations, significantly improving search accuracy without adding complexity to the search query process itself.
2Reliability
If relationship analysis is added to media search, then the relevance of search results improves, but the processing time and computational resources increase
Solution Approach 1:
The relationship engine performs relationship analysis and generates relationship metadata in advance, before actual search queries are executed. This pre-computation stores relationship information that can be quickly retrieved and used during search operations, improving result relevance while minimizing processing time during the actual search.
Solution Approach 2:
The patent creates relationship descriptors as simplified representations or copies of complex relationship information. Instead of performing full relationship analysis during each search, the system uses these pre-generated relationship descriptor copies to quickly filter and rank search results, maintaining high relevance while reducing processing time.
Data Source
AI summary
Provided are techniques for a media content search based on a relationship type and a relationship strength. Selection of two objects in a media file in media content is received. Search criteria for a relationship type and a relationship strength between the two objects is received. One or more media files in the media content are identified in which the two objects have the relationship type and the relationship strength.


