Multimedia Signature Generation for Accurate Web Page Linking
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Solution Overview
Problem
Current multimedia data search engines face challenges in effectively managing and searching 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 inefficiencies in indexing, classification, and retrieval, especially when the target data is not well-defined or described.
Innovation Solution
A system utilizing a computational architecture with multiple statistically independent processing cores generates compact signatures for multimedia data elements, allowing for efficient matching and linking to web pages, thereby overcoming the limitations of traditional metadata-based search methods by creating concept structures and reducing the complexity of multimedia data into manageable and comparable representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional metadata-based search methods are used, then the system is simple to implement, but the search effectiveness and accuracy deteriorate due to inadequate representation of complex multimedia content
Solution Approach 1:
The patent introduces an intermediary computational architecture that acts as a mediator between traditional metadata search and actual multimedia content. This architecture uses multiple statistically independent processing cores to generate compact signatures that bridge the gap between simple search queries and complex multimedia data representation, thereby improving search accuracy without requiring direct complex content analysis.
Solution Approach 2:
Instead of directly analyzing and comparing complex multimedia content, the system creates compact signatures as simplified copies or representations of the original content. These signatures capture essential features while being much more efficient for storage and comparison, enabling accurate search without handling the full complexity of the original multimedia data.
2Reliability
If comprehensive metadata is collected to adequately describe multimedia content, then the search coverage improves, but the indexing and processing time increases significantly
Solution Approach 1:
The system extracts only the most essential and discriminative features from multimedia content to create compact signatures. Instead of collecting and processing all available metadata, the computational cores identify and extract key characteristics that are sufficient for accurate matching, thereby maintaining reliable content representation while dramatically reducing indexing time.
Solution Approach 2:
The patent transforms the representation parameters of multimedia content from detailed metadata descriptions to compact signature vectors. This parameter transformation changes the nature of the data from human-readable metadata to machine-optimized numerical representations, enabling faster processing while preserving the essential information needed for accurate content identification.
3Reliability
If the system processes and compares all multimedia data elements, then the search completeness improves, but the computational load and processing speed worsen
Solution Approach 1:
The system uses compact signatures as efficient copies for comparison purposes. Instead of directly comparing large multimedia files, the computational cores compare these compressed signature representations, which maintain the essential matching information while being orders of magnitude smaller and faster to process, thus preserving search completeness while dramatically improving processing speed.
Solution Approach 2:
The computational architecture performs preliminary processing to generate compact signatures before actual search comparisons. This preliminary action prepares the data in an optimized format that enables rapid subsequent matching operations, ensuring that when full search completeness is needed, the system is already prepared with pre-processed signatures ready for efficient comparison.
Data Source
AI summary
A method and system for linking a multimedia data element (MMDE) and a webpage are provided. The method includes receiving a MMDE from a source; generating a signature representative of the MMDE using a plurality of computational cores; matching the generated signature with a plurality of signatures stored in a database to find at least one matching signature, wherein at least one of the stored signatures has at least one corresponding universal resource locator (URL) of a web page stored therein as metadata of the at least one of the stored signatures; and providing to the source at least a URL that is a metadata of a matched signature upon determination of a match between the generated signature and at least one of the plurality of signatures stored in the database.