Dimitris Chatzopoulos

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Augmented Reality (AR) is becoming mobile. Mobile devices have many constraints but also rich new features that traditional desktop computers do not have. There are several survey papers on AR, but none is dedicated to Mobile Augmented Reality (MAR). Our work serves the purpose of closing this gap. The contents are organized with a bottom-up approach. We(More)
We introduce ReadMe, a real-time recommendation system (RS) and an online algorithm for Mobile Augmented Reality (MAR) ecosystems. A MAR ecosystem is the one that contains mobile users and virtual objects. The role of ReadMe is to detect and present the most suitable virtual objects on the mobile user's screen. The selection of the proper virtual objects(More)
The proliferation of mobile devices combined with advances in the area of low-power wireless communication, such as Wi-Fi Direct and Bluetooth 4.0, gave rise to a new computation paradigm known as Device–to–Device (D2D) offloading. In this scenario, devices collaborate with each other using short wireless links to create ad-hoc P2P networks for distributed(More)
Mobile augmented reality (MAR) applications are gaining popularity due to the wide adoption of mobile and especially wearable devices. Such devices often present limited hardware capabilities while MAR applications often rely on computationally intensive computer vision algorithms with extreme latency requirements. To compensate for the lack of computing(More)
During the last years, researchers have proposed solutions to help smartphones offload heavy tasks to remote entities in order to improve execution time and reduce energy consumption. Lately, inspired by the promising results of message forwarding in opportunistic networks, many researchers have proposed strategies for task offloading towards nearby mobile(More)
We propose Fides, a computation offloading mechanism for mobile devices based on trust between them. Fides provides functionalities to the application developers in terms of (i) application splitting and (ii) metric proposal, according to which the offloading decisions will be made. A collective intelligence mechanism is learning the parameters of the(More)
The increasing complexity of smartphone applications and services necessitate high battery consumption but the growth of smartphones’ battery capacity is not keeping pace with these increasing power demands. To overcome this problem, researchers gave birth to the Mobile Cloud Computing (MCC) research area. In this paper we advance on previous ideas, by(More)
The boom in the capabilities and features of mobile devices like smartphones, tablets and wearables combined with the ubiquitous and affordable Internet access and the advances in the areas of cooperative networking, computer vision and mobile cloud computing transformed Mobile Augmented Reality (MAR) from science fiction to a reality. Although mobile(More)
We develop Hyperion a Wearable Augmented Reality (WAR) system based on Google Glass to access text information in the ambient environment. Hyperion is able to retrieve text content from users’ current view and deliver the content to them in different ways according to their context. We design four work modalities for different situations that mobile users(More)