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 mobile phones 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 -- an adaptive museum guidance system.
phone-to-phone communication mobile computing real-time adaptation museum guidance application