Phone-to-Phone Communication for Adaptive Image Classification
- In this paper, we present a novel technique for adapting local image classifiers that are applied for object recognition on mobile phones through ad-hoc network communication between the devices. By continuously accumulating and exchanging collected user feedback among devices that are located within signal range, we show that our approach improves the overall classification rate and adapts toIn this paper, we present a novel technique for adapting local image classifiers that are applied for object recognition on mobile phones through ad-hoc network communication between the devices. By continuously accumulating and exchanging collected user feedback among devices that are located within signal range, we show that our approach improves the overall classification rate and adapts to dynamic changes quickly. This technique is applied in the context of PhoneGuide – a mobile phone based museum guidance framework that combines pervasive tracking and local object recognition for identifying a large number of objects in uncontrolled museum environments.…
Document Type: | Article |
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Author: | Erich Bruns, Oliver BimberORCiDGND |
DOI (Cite-Link): | https://doi.org/10.25643/bauhaus-universitaet.1296Cite-Link |
URN (Cite-Link): | https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20080722-13685Cite-Link |
Language: | English |
Date of Publication (online): | 2008/07/22 |
Year of first Publication: | 2008 |
Release Date: | 2008/07/22 |
Contributing Corporation: | Stiftung für Technologie, Innovation und Forschung Thüringen (STIFT) |
Institutes and partner institutions: | Fakultät Medien / Junior-Professur Augmented Reality |
Tag: | Phone-to-phone communication; adaptive image classification; mobile ad-hoc networks; museum guidance system |
GND Keyword: | Peer-to-Peer-Netz; Bilderkennung; Museumsführer; Ad-hoc-Netz |
Dewey Decimal Classification: | 000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
BKL-Classification: | 54 Informatik / 54.72 Künstliche Intelligenz |
54 Informatik / 54.74 Maschinelles Sehen | |
Licence (German): | Creative Commons 4.0 - Namensnennung-Nicht kommerziell (CC BY-NC 4.0) |