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PhoneGuide: Museum Guidance Supported by On-Device Object Recognition on Mobile Phones

  • We present PhoneGuide – an enhanced museum guidance approach that uses camera-equipped mobile phones and on-device object recognition. Our main technical achievement is a simple and light-weight object recognition approach that is realized with single-layer perceptron neuronal networks. In contrast to related systems which perform computational intensive image processing tasks on remote servers,We present PhoneGuide – an enhanced museum guidance approach that uses camera-equipped mobile phones and on-device object recognition. Our main technical achievement is a simple and light-weight object recognition approach that is realized with single-layer perceptron neuronal networks. In contrast to related systems which perform computational intensive image processing tasks on remote servers, our intention is to carry out all computations directly on the phone. This ensures little or even no network traffic and consequently decreases cost for online times. Our laboratory experiments and field surveys have shown that photographed museum exhibits can be recognized with a probability of over 90%. We have evaluated different feature sets to optimize the recognition rate and performance. Our experiments revealed that normalized color features are most effective for our method. Choosing such a feature set allows recognizing an object below one second on up-to-date phones. The amount of data that is required for differentiating 50 objects from multiple perspectives is less than 6KBytes.zeige mehrzeige weniger

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Metadaten
Dokumentart:Bericht
Verfasserangaben: Paul Föckler, Thomas Zeidler, Prof. Dr. Oliver BimberORCiDGND
DOI (Zitierlink):https://doi.org/10.25643/bauhaus-universitaet.650Zitierlink
URN (Zitierlink):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20111215-6500Zitierlink
Sprache:Englisch
Datum der Veröffentlichung (online):23.06.2005
Jahr der Erstveröffentlichung:2005
Datum der Freischaltung:23.06.2005
Institute und Partnereinrichtugen:Fakultät Medien / Junior-Professur Augmented Reality
Freies Schlagwort / Tag:Mobile phones; museum guidance; neural networks; object recognition
GND-Schlagwort:Neuronales Netz; Objekterkennung; Handy; Museum
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
BKL-Klassifikation:54 Informatik / 54.72 Künstliche Intelligenz
54 Informatik / 54.74 Maschinelles Sehen
Lizenz (Deutsch):License Logo In Copyright