Media revision history tracking via asset decomposition and serialization

Frederik Temmermans, Sabrina Caldwell, Iris Vanhamel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

While distributed version control systems offer a solid foundation for monitoring revision history, their effectiveness is hindered when dealing with digital media assets, which are often treated as opaque binary data. This makes it challenging to precisely track modifications and compromises storage efficiency. Despite this, a significant portion of embedded metadata within these files is actually textual in nature, though it remains unrecognized due to its integration into the binary structure. Moreover, alterations to the metadata and the underlying structure of metadata container formats, such as the JPEG Universal Metadata Box Format (JUMBF), go unnoticed during media rendering, further complicating the identification process. To address these issues, this paper proposes a solution that defines an asset decomposition and structured serialization scheme. This framework enables the individual tracking of subcomponents within media assets, facilitating more accurate version control and metadata management.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XLVII
EditorsAndrew G. Tescher, Touradj Ebrahimi
PublisherSPIE
ISBN (Electronic)9781510679344
DOIs
Publication statusPublished - 2024
EventApplications of Digital Image Processing XLVII 2024 - San Diego, United States
Duration: 19 Aug 202422 Aug 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13137
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceApplications of Digital Image Processing XLVII 2024
Country/TerritoryUnited States
CitySan Diego
Period19/08/2422/08/24

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