87,344 research outputs found
Crime art on the stone: Graffiti Vandalism on cultural heritage and the anti-graffiti role in its surfaces protection
No full textApparently perceived like an easy thing commonly used, spray paint is a very complex product composed by substances strongly penetrating particularly into the porous materials. This characteristic is very hazardous for our cultural heritage. The problem concerning the surfaces protection from paints and signs is very hard to solve, both for the difficulty to remove these substances and for the variety of the materials that react in a different manner to the various paints and cleaning treatments because of their different physical-chemical characteristics. With the aim to evaluate the damages originated by the spray paints on the stones and the efficacy of anti-graffiti products, some laboratory tests have been carried out. Two different limestones have been selected like supports: a little porous, polishable wakestone and a very porous bio-calcarenite with very scarce mechanical properties. Both these limestones are used as coverings and structural elements of buildings and monuments around Mediterranean basin. Concerning the spray paint cans, the most popular Montana mtn94 has been used, and two commercial anti-graffiti have been applied as protective products. Using Scanning Electron Microscope, Infrared Spectrometry, Colorimetry, Mercury Intrusion Porosimetry and Contact Angle Analysis the interactions stone-paint, stone-antigraffiti and paint-anti-graffiti have been investigated. In order to evaluate the real efficacy of the anti-graffiti, some cleaning and removal paint tests have been carried out. The research highlights that the anti-graffiti cause variations concerns the colour and/or the wettability in both limestones. Their effects are strictly related to the stonework and their microstructure but also the interaction with the paint is influent too
MOWIS: A System for Building Multimedia Ontologies from Web Information Sources
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CEUR Workshop Proceedings
Volume 560, 2010, Pages 89-93
1st Italian Information Retrieval Workshop, IIR 2010; Padua; Italy; 27 January 2010 through 28 January 2010; Code 101072
MOWIS: A system for building multimedia ontologies from web information sources (Conference Paper)
Moscato, V. ,
Penta, A. ,
Persia, F. ,
Picariello, A.
University of Naples, Dipartimento di Informatica e Sistemistica, via Claudio 21, 80125, Naples, Italy
View references (13)
Abstract
Defining ontologies within the multimedia domain still remains a challenging task, due to the complexity of multimedia data and the related associated knowledge. In this paper, we propose: i) a novel multimedia ontology model that combine both low level descriptors and high level semantic concepts; ii) an automatic construction of ontologies using the Flickrweb services, that provide images, tags, Keywords: and sometimes useful annotation describing both the content of an image and personal interesting information. Eventually, we describe an example of automatic ontology construction in a specific domain
A Survey of Multimedia Recommender Systems: Challenges and Opportunities
No full textMultimedia information has been extensively growing from a variety of sources such as cameras or video recorders. In order to select the useful multimedia objects, multimedia recommender system has been emerging as a tool to help users choose which multimedia objects might be interesting for them. However, given the complexity of multimedia objects, it is challenging to provide effective multimedia recommendations. In this paper, we therefore conduct a survey in both the multimedia information system and recommender system communities. We further focus on the works that span the two communities, especially the research on multimedia recommender systems. Based on our review, we propose a set of research challenges, which can be used to implicate the future research directions for multimedia recommender systems. For each research challenge, we have also provided the insights of how to perform the follow-up research
A Framework for High-Level Event Detection in a Social Network Context Via an Extension of ISEQL
No full textWe develop a framework for the detection of high-level events in a social network context, allowing us to identify abnormal or malicious behavior such as spamming. Additionally, we can classify users by analyzing their typical behavior while logged into a social network site. The processing of (real-time) events in our framework is done via an event detection language called ISEQL, which we adapt and extend to fit the requirements of a social network setting. We evaluate our framework experimentally, showing its effectiveness and efficiency
A Methodology for Improving Vegetation Representation and Health Exploiting a Semantic Robotic System and Its Dynamic Stability Control
No full text Precision farming technologies have been increasingly recognized for their potential ability for improving agricultural productivity, reducing production cost, and minimizing damage to the environment. In this context, the main goals of this paper are the following: First, we present a methodology that can be applied to extract semantic information, more specifically some vegetative indices, from plants, in order to further improve the vegetation representation and health by means of a specific semantic robotic system; then, we study in detail the tracked robot’s behavior, by emulating the real settings in a field and analytically analyze the simulation of the robot on an up and down slope path. </jats:p
A Survey of Online Social Networks: Challenges and Opportunities
No full textOnline Social Networks (OSNs) have become fundamental parts of our online lives, and their popularity is increasing at a surprising rate every day. However, besides the revolution the OSNs have generated in social networking, they have also introduced some issues; first, since the amount of multimedia data on the Internet is growing continuously, it is extremely important for users not only to share multimedia content with each other, but also to receive the specific content they are interested in; second, OSNs have introduced new threats to their users due to their attractiveness, the ever-increasing number of users, and the massive amount of personal information they share. For such reasons, in this paper we propose a survey of online social networks, which can hopefully support both researchers and social network users. More specifically, we focus our attention on the most relevant research challenges regarding semantics and security
A Generalized Evaluation Framework for Multimedia Recommender Systems
No full textWith the widespread availability of media technologies, such as real-time streaming, new Internet-of-Thing devices and smart phones, multimedia data are extensively increased and the big multimedia data rapidly spread over various social networks. This has created complexity and information overload for users to choose the suitable multimedia objects. Thus, different multimedia recommender systems have been emerging to help users find the useful multimedia objects that are possibly preferred by the user. However, the evaluation of these multimedia recommender systems is still in an ad-hoc stage. Given the distinct features of multimedia objects, the evaluation criteria adopted from the general recommender systems might not be effectively used to evaluate multimedia recommendations. In this paper, we therefore review and analyze the evaluation criteria that have been used in the previous multimedia recommender system papers. Based on the review, we propose a generalized evaluation framework to guide the researchers and practitioners to perform evaluations, especially user-centric evaluations, for multimedia recommender systems
A Distributed Framework for Event Detection in Video Surveillance Context
No full textIn latest years modern world's needs of safety caused a speed spreading of video surveillance systems, more and more frequently collocated in the most crowded places. Thus, a lot of theoretical approaches working with data coming from heterogeneous sources and defining some very complex event detection algorithms have been proposed in the literature. In this paper, we present a distributed framework for event detection in video surveillance context. The overall process is described, starting from the video frames captured by different kinds of sensors and cameras till at the end some high-level event detection algorithms performed in a distributed environment for finding potentially dangerous activities are applied. The conducted experiments confirm the efficiency achieved by our distributed framework
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