TY  - JOUR
A1  - Brombach, Benjamin
A1  - Bruns, Erich
A1  - Bimber, Oliver
T1  - Subobject Detection through Spatial Relationships on Mobile Phones
N2  - We present a novel image classification technique for detecting multiple objects (called subobjects) in a single image. In addition to image classifiers, we apply spatial relationships among the subobjects to verify and to predict locations of detected and undetected subobjects, respectively. By continuously refining the spatial relationships throughout the detection process, even locations of completely occluded exhibits can be determined. Finally, all detected subobjects are labeled and the user can select the object of interest for retrieving corresponding multimedia information. This approach is applied in the context of PhoneGuide, an adaptive museum guidance system for camera-equipped mobile phones. We show that the recognition of subobjects using spatial relationships is up to 68% faster than related approaches without spatial relationships. Results of a field experiment in a local museum illustrate that unexperienced users reach an average recognition rate for subobjects of 85.6% under realistic conditions.
KW  - Objekterkennung
KW  - Smartphone
KW  - Subobjekterkennung
KW  - Räumliche Beziehungen
KW  - Neuronales Netz
KW  - Museumsführer
KW  - Subobject Detection
KW  - Spatial Relationships
KW  - Neural Networks
KW  - Museum Guidance
Y1  - 2008
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20081007-14296
ER  -