120,370 research outputs found
Approccio allo Studio Universitario e Tecnologie 2.0: Analisi Empirica e Sviluppo di un Framework
A semantic-based system for querying personal digital libraries
This is the author's accepted manuscript. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-28640-0_4. Copyright @ Springer 2004.The decreasing cost and the increasing availability of new technologies is enabling people to create their own digital libraries. One of the main topic in personal digital libraries is allowing people to select interesting information among all the different digital formats available today (pdf, html, tiff, etc.). Moreover the increasing availability of these on-line libraries, as well as the advent of the so called Semantic Web [1], is raising the demand for converting paper documents into digital, possibly semantically annotated, documents. These motivations drove us to design a new system which could enable the user to interact and query documents independently from the digital formats in which they are represented. In order to achieve this independence from the format we consider all the digital documents contained in a digital library as images. Our system tries to automatically detect the layout of the digital documents and recognize the geometric regions of interest. All the extracted information is then encoded with respect to a reference ontology, so that the user can query his digital library by typing free text or browsing the ontology
A note on Romance and Germanic past participle relative clauses
Some evidence will be presented for the existence in Romance and Germanic of an IP (though not of a CP) layer in past participle ‘reduced’ relative clauses, and for the PRO nature of their internal head (for at least some of them)
Reti di Apprendimento ed Educazione al Management. Il Caso Eduorg 2.0 dell’Università di Pisa
Encoding immersive sessions for online, interactive VR analytics
Capturing and recording immersive VR sessions performed through HMDs in explorative virtual environments may offer valuable insights on users’ behavior, scene saliency and spatial affordances. Collected data can support effort prioritization in 3D modeling workflow or allow fine-tuning of locomotion models for time-constrained experiences. The web with its recent specifications (WebVR/WebXR) represents a valid solution to enable accessible, interactive and usable tools for remote VR analysis of recorded sessions. Performing immersive analytics through common browsers however presents different challenges, including limited rendering capabilities. Furthermore, interactive inspection of large session records is often problematic due to network bandwidth or may involve computationally intensive encoding/decoding routines. This work proposes, formalizes and investigates flexible dynamic models to volumetrically capture user states and scene saliency during running VR sessions using compact approaches. We investigate image-based encoding techniques and layouts targeting interactive and immersive WebVR remote inspection. We performed several experiments to validate and assess proposed encoding models applied to existing records and within networked scenarios through direct server-side encoding, using limited storage and computational resources
Envision of a digital foundation to embed knowledge around all aspects of cultural heritage
Reviewing current results and applications in the domain of (digital) cultural heritage, such as virtual reality, digital information management,multimedia, makes evident that technologies and systems are nowadays pervasive in the investigation phases and in the analysis and exploitation of
the scientific data. Applications of virtual reality by means of 3D representations of architectural and historical models are attracting a wide range of
audience – especially in the tourist and multimedia sector. Typically, the emphasis is given to the visual representation and its impact to the user,
giving less importance to the scientific accuracy and capacity of the platform to represent the whole “knowledge” associated to the cultural asset.
There is a demanding need to envision approaches to communize all the elements of such multidisciplinary knowledge. A data set of coherent,
structured, multidisciplinary, multi-source, multi-media information (that can be physically distributed) - constituted by “markers” (i.e. pertinent to a
specific domain such as architectural, technical, structural, historical, bibliographical, archive related, photographical, physical, chemical, ...) –
should give the capacity to implement Cultural Heritage platforms around a sort of a “Digital Foundation” of assets to support different applications
and user experiences. Current approaches and availability of digital libraries, the accessibility of distributed information (e.g. by internet), the
capacity to model data and meta-data, the availability of instruments to accurately position objects in space and time (together with ontological
representations) let us envision a novel model of representing a dynamical evolving multi-source “digital foundation”.
The above model, as the result of a multidisciplinary approach coming from a long experience in research and technologies in various fields (ICT
architectures, Digital Libraries, Knowledge representation, Distributed infrastructures, GIS and applications of Satellite Navigation) and projects
(National and European) is now experimented around the UNESCO Villa Adriana in Tivoli (Rome, Italy). It constitutes the center of excellence that
allowed the authors to preliminary build a digital foundation for the area, demonstrating the capability to generate (among other features) accurate
3D virtual reality representations, distributed multi-source/multi-target and multi-modal representation for virtual guides and to support
archeological studies and excavations for professional users. It furthermore implements capacities to manage, to control and to develop the necessary
knowledge for the safeguard and conservation of the immense material associated to archeological sites
Shape description and recognition by a multiresolution approach
This paper presents a multiresolution approach that uses a diffusion process to describe the shape of a 2D object. As a result, shape recognition can be achieved: shape contours may be recognized independently from orientation or size. The method proposed relies on the concept of a structural coding of an object at varying levels of resolution. A tree structure represents the evolution of the contour at increasing levels of detail, where each tree node represents a contour segment via a set of attributes to provide a richer description of the image shape. The shape recognition is based on a matching of the attributed tree representation of the candidates with that of the model
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