The TailoredMedia Project: Taming the data beast
Christoph Bauer,
Werner Bailer,
Stefanie Größbacher and
Peter Judmaier
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Christoph Bauer: Multimedia Archives, Austria
Werner Bailer: Intelligent Vision Applications, Austria
Stefanie Größbacher: Research-Group Media Computing, Austria
Peter Judmaier: Research-Group Media Computing, Austria
Journal of Digital Media Management, 2023, vol. 11, issue 4, 355-367
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.
Keywords: AI-supported AV-mining; user-interfaces; support for research and annotation (search for similar items in EconPapers)
JEL-codes: M11 M15 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:aza:jdmm00:y:2023:v:11:i:4:p:355-367
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