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The TailoredMedia Project: Taming the data beast

Author

Listed:
  • Bauer, Christoph

    (Multimedia Archives, Austria)

  • Bailer, Werner

    (Intelligent Vision Applications, Austria)

  • Größbacher, Stefanie

    (Research-Group Media Computing, Austria)

  • Judmaier, Peter

    (Research-Group Media Computing, Austria)

Abstract

The manual tagging of information such as persons, objects or places is a time-consuming task that typically needs trained archivists. This inefficient use of resources leads to disproportionately high resource consumption for a relatively small quantity of tagged material. The TailoredMedia project set out to reverse this problem by using machine learning to tag a high quantity of material and having archivists ensure the quality of the tagged information. This paper describes the integration of a set of analysis tools based on artificial intelligence (AI), along with focused research on specific tools (efficient scene classification, few-shot object detection, scene text detection). The paper also introduces Taylor — an avatar for the system’s AI capabilities, designed as part of the user interface to provide explanations and support the user’s work to validate annotations and search for content.

Suggested Citation

  • Bauer, Christoph & Bailer, Werner & Größbacher, Stefanie & Judmaier, Peter, 2023. "The TailoredMedia Project: Taming the data beast," Journal of Digital Media Management, Henry Stewart Publications, vol. 11(4), pages 355-367, June.
    • Handle: RePEc:aza:jdmm00:y:2023:v:11:i:4:p:355-367
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    More about this item

    Keywords

    AI-supported AV-mining; user-interfaces; support for research and annotation;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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