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ZENODO; Lecture Notes in Computer Science
Other literature type . Part of book or chapter of book . Conference object . 2021 . Peer-reviewed
License: CC BY NC ND
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Artwork Identification in a Museum Environment: A Quantitative Evaluation of Factors Affecting Identification Accuracy

Authors: Lanitis, Andreas; Theodosiou, Zenonas; Partaourides, Charalampos;

Artwork Identification in a Museum Environment: A Quantitative Evaluation of Factors Affecting Identification Accuracy

Abstract

The ability to identify the artworks that a museum visitor is looking at, using first-person images seamlessly captured by wearable cameras can be used as a means for invoking applications that provide information about the exhibits, and provide information about visitors’ activities. As part of our efforts to optimize the artwork recognition accuracy of an artwork identification system under development, an investigation aiming to determine the effect of different conditions on the artwork recognition accuracy in a gallery/exhibition environment is presented. Through the controlled introduction of different distractors in a virtual museum environment, it is feasible to assess the effect on the recognition performance of different conditions. The results of the experiment are important for improving the robustness of artwork recognition systems, and at the same time the conclusions of this work can provide specific guidelines to curators, museum professionals and visitors, that will enable the efficient identification of artworks, using images captured with wearable cameras in a museum environment.

Country
Cyprus
Related Organizations
Subjects by Vocabulary

Microsoft Academic Graph classification: Computer science Visitor pattern Wearable computer Identification system Exhibition Identification (information) Robustness (computer science) Human–computer interaction

Keywords

Deep Networks, Computer and Information Sciences, Computer Vision, Deep networks, Paintings recognition, Computer vision, Natural Sciences, Paintings Recognition

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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