View source for 18477651. IDENTIFYING DUPLICATE OBJECTS USING CANONICAL FORMS IN CONTENT CREATION SYSTEMS AND APPLICATIONS simplified abstract (NVIDIA Corporation)

=IDENTIFYING DUPLICATE OBJECTS USING CANONICAL FORMS IN CONTENT CREATION SYSTEMS AND APPLICATIONS=


==Organization Name==

[[:Category:NVIDIA Corporation|NVIDIA Corporation]]


[[Category:NVIDIA Corporation]]

==Inventor(s)==

[[:Category:Michael Hemmer of Saarbruecken (DE)|Michael Hemmer of Saarbruecken (DE)]][[Category:Michael Hemmer of Saarbruecken (DE)]]

==IDENTIFYING DUPLICATE OBJECTS USING CANONICAL FORMS IN CONTENT CREATION SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18477651 titled 'IDENTIFYING DUPLICATE OBJECTS USING CANONICAL FORMS IN CONTENT CREATION SYSTEMS AND APPLICATIONS

==Simplified Explanation==

The patent application describes systems and methods for identifying duplicate objects within an interaction environment by using connectivity information to map linearly independent vectors and canonical forms of objects.

* Linearly independent vectors are mapped based on connectivity information for an object.
* Canonical forms of objects are created using the mapped vectors to determine duplicates or near-duplicates.
* Duplicate objects are deleted from the environment and represented by a common object with additional transforms applied.

== Potential Applications ==
The technology could be applied in digital asset management systems, content moderation platforms, and data deduplication processes.

== Problems Solved ==
This technology solves the problem of identifying and removing duplicate or near-duplicate objects efficiently within an interaction environment.

== Benefits ==
The benefits of this technology include improved data organization, reduced storage space usage, and enhanced data quality within the interaction environment.

== Potential Commercial Applications ==
The technology could be commercially applied in digital content platforms, cloud storage services, and data analytics companies.

== Possible Prior Art ==
Prior art may include existing data deduplication algorithms, image recognition software, and content similarity detection systems.

=== What are the specific technical details of the connectivity information used to map linearly independent vectors in this system? ===

The specific technical details of the connectivity information used to map linearly independent vectors in this system involve analyzing the relationships between different data points or objects to determine their connectivity and spatial orientation within the interaction environment. This information is then used to establish a set of linearly independent vectors that represent the object's structure and characteristics.

=== How does the system handle objects with complex transformations or variations that may affect their duplicate status? ===

The system handles objects with complex transformations or variations by generating canonical forms based on the linearly independent vectors, which capture the essential features of the objects regardless of their transformations. This allows the system to accurately compare objects and determine their duplicate status even in the presence of complex variations or transformations.


==Original Abstract Submitted==

Approaches presented herein provide systems and methods for determining duplicate objects within an interaction environment. Connectivity information for an object may be used to map a set of three linearly independent vectors corresponding to a transform applied to the object. These three linearly independent vectors may be used to form canonical forms of first and second objects to determine whether the first object and the second object are duplicates or near-duplicates. Copies of duplicate or near-duplicate objects may then be deleted from the interaction environment and represented by a common object to which one or more additional transforms are applied.



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