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.
Temmermans, F, Caldwell, S & Vanhamel, I 2024, Media revision history tracking via asset decomposition and serialization. in AG Tescher & T Ebrahimi (eds), Applications of Digital Image Processing XLVII. vol. 13137, 1313707, Proceedings of SPIE - The International Society for Optical Engineering, vol. 13137, SPIE, SPIE Optics + Photonics 2024, San Diego, California, United States, 18/08/24. https://doi.org/10.1117/12.3031161
Temmermans, F., Caldwell, S., & Vanhamel, I. (2024). Media revision history tracking via asset decomposition and serialization. In A. G. Tescher, & T. Ebrahimi (Eds.), Applications of Digital Image Processing XLVII (Vol. 13137). Article 1313707 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13137). SPIE. https://doi.org/10.1117/12.3031161
@inproceedings{8faa8b6e137c4cecab33fadb16246c7e,
title = "Media revision history tracking via asset decomposition and serialization",
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.",
keywords = "JPEG Trust, Version control, JPEG, Standardization, Serialisation, Media decomposition, JUMBF",
author = "Frederik Temmermans and Sabrina Caldwell and Iris Vanhamel",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; SPIE Optics + Photonics 2024 ; Conference date: 18-08-2024 Through 23-08-2024",
year = "2024",
month = sep,
day = "30",
doi = "10.1117/12.3031161",
language = "English",
volume = "13137",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Tescher, {Andrew G.} and Touradj Ebrahimi",
booktitle = "Applications of Digital Image Processing XLVII",
address = "United States",
}