Multimedia Object Dimension Determination via Signature Matching
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Solution Overview
Problem
Existing multimedia content analysis methods face inefficiencies in identifying and correlating multimedia elements, leading to complex and inefficient pattern recognition due to the lack of effective correlation between extracted elements.
Innovation Solution
A method and system that generate signatures for objects in multimedia content items, match these signatures to concepts in a data warehouse, and determine size dimensions by analyzing the ratio of signatures and actual sizes of matched concepts, enabling efficient identification and correlation of multimedia elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional multimedia content analysis methods are used to identify and extract multimedia elements, then the analysis can be performed, but the pattern recognition becomes complex and inefficient due to lack of effective correlation between extracted elements
Solution Approach 1:
The patent segments multimedia content into distinct objects with individual signatures, allowing each object to be analyzed independently rather than treating the entire content as a complex unified structure. This segmentation reduces pattern recognition complexity by breaking down the analysis into manageable object-level tasks.
Solution Approach 2:
The patent introduces signatures as intermediary representations that bridge multimedia objects and their characteristics. These signatures serve as standardized intermediaries that enable efficient correlation and comparison between objects, improving analysis efficiency while reducing the complexity of direct object-to-object comparison.
2Measurement precision
If signatures are generated for multiple objects and matched to concepts in a data warehouse, then accurate size dimension determination is achieved, but the processing time and computational resources increase
Solution Approach 1:
The patent pre-generates signatures for objects and maintains a data warehouse with concept signatures and actual size information. This preliminary preparation allows rapid matching and size determination during actual analysis without performing complex computations in real-time, thus improving measurement precision while minimizing processing time.
Solution Approach 2:
The patent uses signature copies as simplified representations of actual objects. Instead of processing the full complexity of original multimedia objects, the system works with compressed signature copies that retain essential characteristics, enabling fast comparison and matching operations that maintain accuracy while reducing computational burden.
Data Source
AI summary
A method and system for determining at least a size dimension of objects shown in multimedia content items are presented. The method includes receiving an input multimedia content item; identifying objects shown in the multimedia content item; generating at least a first signature for at least a first object of the plurality of objects and at least a second signature for at least a second object; identifying at least one concept that matches the at least a first object; determining an actual size of the first object respective of the match to the at least one concept; determining a size scale between the first object and the second object using the at least a first signature and the at least a second signature; and determining the at least size dimension of the second object respective of the size scale and the actual size of the first object.