Tobias Schuchert

In this paper we present a novel approach for using intelligent complex event processing with Augmented Reality to achieve Adapted Augmented Reality in Cultural Heritage domain. Intelligent complex event processing enables the efficient real-time processing of sensor data and its logic-based nature supports a declarative definition of attention situations. We use semantic technologies to correlate sensor data through modeling of

Adaptive behavior is one of the main challenges in building computerized systems, especially in the case of systems which are delivering information to the end users. Indeed, since the information overload has become the main drawback for the future development of such systems (cf. Big Data challenge), there is a huge movement in the research community to develop concepts for better adaptation of the form and size of information that will be delivered to a user (usually taking different forms of the personalization).

Providing engaging interpretation resources for museum and gallery visitors may have a great impact on the overall museum visiting experience all by assisting museums in maintaining long-term relationships with their public. This paper focuses on the ways through which AR can be employed in museum and gallery settings as an interpretation medium. It also introduces a new generation of multimedia guides for the museum visit inspired by the concept of Adaptive Augmented Reality (A2R). Adaptive Augmented Reality (A2R) provides visual and acoustic augmentations that come to supplement the artefact or site viewed by a museum or gallery visitor and monitors the cognitive and affective impact of all interactions of the museum visitor both with the physical and the digital environment. The ultimate goal is to make every museum visit unique, by tailoring an Augmented Reality visit with contents that are susceptible to increase the affective impact of the augmented museum visiting experience and hence encourage intrinsic and self-motivated learning.

The paper presents the new concept of Adaptive Augmented Reality (A2R), employed within the context of the creation of an AR guide for the museum visit, that is being developed in the context of an EU research project. The main objective of the project is to provide a prototype that enables a personalized experience for every individual visitor by adapting to the psychological state of the visitor the content presented through an augmented reality museum guidance system.

Abstract. In this paper we extend a standard affine optical flow model to 4D and present how affine parameters can be used for estimation of 3D object structure, 3D motion and rotation using a 1D camera grid. Local changes of the projected motion vector field are modelled not ...