Media Fingerprint Storage Using Classification-Based Segmentation
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Solution Overview
Problem
Current methods for storing and searching media content fingerprints lack efficiency in classification-based approaches, making it difficult to identify and match media clips accurately across large databases.
Innovation Solution
A system that identifies attributes in media content, computes a classification value based on these attributes, and stores or searches for fingerprints using this classification value, allowing for efficient matching and retrieval of media content by organizing fingerprints in a database based on their classification values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If media content fingerprints are stored and searched without classification-based organization, then the database structure remains simple, but the efficiency and accuracy of identifying and matching media clips deteriorates when searching large databases
Solution Approach 1:
The patent segments the fingerprint database by organizing fingerprints according to classification values derived from media content attributes (e.g., genre, mood, scene type). This segmentation allows the search system to divide the large database into smaller, classified groups, improving search efficiency by reducing the search space while maintaining manageable organizational complexity through automated classification.
Solution Approach 2:
The system performs preliminary classification of media content into categories before fingerprint storage. By pre-computing classification values and organizing fingerprints accordingly, the system prepares the data structure in advance, enabling faster retrieval and matching operations without requiring complex real-time analysis during search operations.
2Measurement precision
If classification-based organization is implemented for fingerprint storage, then the accuracy of media content matching improves, but the complexity of the storage and retrieval system increases
Solution Approach 1:
The patent introduces classification values as an intermediary layer between raw media content and fingerprint storage. These classification values (representing attributes like genre, mood, or scene type) act as mediators that organize fingerprints into meaningful groups, improving matching accuracy by enabling semantic-based retrieval while keeping system complexity manageable through the use of standardized classification schemas.
3Loss of time
If fingerprints are organized by classification values in a database, then the retrieval time for matching media clips decreases, but the computational resources required for classification increase
Solution Approach 1:
The system performs classification computations in advance during the fingerprint generation and storage phase, rather than during retrieval. By pre-computing classification values and organizing fingerprints into classified groups before search operations, the system shifts computational energy consumption to an offline or batch processing context, enabling fast retrieval with minimal real-time computational resources.
Data Source
AI summary
Attributes are identified in media content. A classification value of the media content is computed based on the identified attributes. Thereafter, a fingerprint derived from the media content is stored or searched for based on the classification value of the media content.