Application (pre-grant publication)
ASSET STORAGE AND RETRIEVAL USING WORD PERMUTATIONS
- Number
- 20260278002
- Published
- 2026-09-17
- Filed
- 2025-03-11
- Assignee
- Disney Enterprises, Inc.
- Inventors
- Walters; Matthew Robert, Lathrop; Matthew Steele, McCullough; Kelsey, Perea; Stephanie
- CPC
- G06F16/9014; G06F16/2291
- Verdict
- Set aside codec, business-ops
- In edition
- 2026-W38
- Source
- Google Patents · FreePatentsOnline
The keeper's note
a method receives a request for a first asset.
Abstract
In some embodiments, a method receives a request for a first asset. The request includes a word permutation. The method determines whether the first asset can be retrieved from a database using the word permutation. Responsive to determining the first asset cannot be retrieved, the method determines a second asset representation for a second asset that is within a threshold to a first asset representation in a space. The asset representations are encoded into the space based on contents of respective assets. Also, the method returns the second asset for the request. Responsive to determining the first asset cannot be retrieved: the method retrieves the first asset from the database and returns the first asset for the request.
Background
BACKGROUND
Digital asset management has witnessed significant growth as organizations increasingly rely on vast repositories of digital content to drive their operations. However, effectively managing these assets poses substantial challenges, particularly in managing specific files across multiple different systems. Traditional solutions often employ technical identifiers, such as hashes (e.g., SHA256), to uniquely identify files. While robust for machine-to-machine interactions, these identifiers are cumbersome for human communication due to their length and complexity. For instance, a SHA256 hash appears as an unintelligible string (e.g., c27cale58418a8cc8169f2f36c38969cdfcac0d3ab0eab7659ca74c99518fb09), which hinders file identification and collaboration.
Other problems may also exist in digital asset management systems. Identifying assets between systems may be difficult. The same exact file may be stored in multiple systems, but under a different file names or identifiers. Often, a system may use hashes of files to compare files to determine if they are the same. However, trying to search for an asset by its hash is difficult due to the length and complexity of the string. Additionally, searching by the hash provides no opportunity to find similar assets. For example, the hash of the same frame of video in two different file formats will be radically different. Thus, the system could not identify the two files using the hash of one of the files.