Concept Database Enrichment via Reduced Multimedia Signatures
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Solution Overview
Problem
Current multimedia content management systems face challenges in efficiently searching and organizing vast amounts of multimedia data due to the abstract and complex nature of video content, which is not adequately represented by existing metadata, leading to ineffective search results and scalability issues.
Innovation Solution
A method and system for enriching a concept database by generating signatures for multimedia content elements, matching them to existing concepts, creating a reduced representation, and adding new concepts to the database, allowing for more accurate identification and classification of multimedia content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing metadata solutions are used to describe multimedia content, then the system structure is simple, but the representation accuracy is insufficient for abstract and complex video content
Solution Approach 1:
The patent segments multimedia content into distinct concepts through concept detection and segmentation modules. Each concept is represented by visual features extracted from specific regions of the content, allowing complex video material to be broken down into manageable, accurately representable units that can be individually indexed and searched
Solution Approach 2:
The patent introduces concept structures as intermediary elements between raw multimedia content and metadata. These concept structures serve as mediators that capture abstract visual concepts (such as scenes, objects, or events) and represent them through structured visual features, bridging the gap between complex content and searchable representations
2Adaptability or versatility
If model-based methods are used to define multimedia content, then the system can handle abstract content, but the scalability deteriorates due to the abstract and complex structure
Solution Approach 1:
The patent creates simplified concept structures that copy only the essential visual features of multimedia content rather than representing the entire complex structure. Each concept structure contains selected visual features (such as color histograms, texture descriptors, or shape characteristics) that capture the essence of the content while enabling efficient indexing and retrieval
Solution Approach 2:
The patent transforms complex multimedia content into standardized parameter-based concept structures. By converting diverse video content into uniform visual feature parameters (such as color spaces, frequency domain representations, or spatial descriptors), the system achieves both adaptability to handle abstract content and scalability through consistent parameterized representations
3Measurement precision
If the concept database is enriched with more concepts, then the search accuracy improves, but the computational resources required increase
Solution Approach 1:
The patent applies partial action by extracting and storing only the most discriminative visual features for each concept rather than complete content representations. The system selectively processes and stores key visual parameters that are sufficient for accurate search and retrieval, avoiding the computational overhead of processing or storing all possible features
Solution Approach 2:
The patent performs preliminary concept detection and visual feature extraction during the content ingestion phase, organizing data into structured concept formats before search operations. This preliminary structuring of visual features and concept relationships enables faster query processing and reduces computational resources required during actual search operations
4Reliability
If redundant data is stored to improve search coverage, then the search completeness improves, but the data storage efficiency deteriorates
Solution Approach 1:
The patent merges multiple instances of the same visual concept into unified concept structures. When similar visual patterns or concepts are detected across different multimedia content, they are consolidated into shared concept representations with common visual features, eliminating redundant storage while maintaining comprehensive search coverage through the merged concept
Data Source
AI summary
A system and method for enriching a concept database. The method includes determining, based on signatures of a first multimedia content element (MMCE) and signatures of a plurality of existing concepts in the concept database, at least one first concept, wherein each first concept is one of the plurality of existing concepts matching a portion of the first MMCE; generating a reduced representation of the first MMCE, wherein the generation of the reduced representation includes removing the at least one portion of the first MMCE matching the determined at least one first concept; comparing the reduced representation to signatures representing a plurality of second MMCEs to determine a plurality of matching second MMCEs; generating, based on the reduced representation and the plurality of matching second MMCEs, at least one second concept; and adding the generated at least one second concept to the concept database.