Search results for "Abstract"

showing 10 items of 1959 documents

Continuous hand openness detection using a Kinect-like device

2014

This paper presents a novel method to reproduce in real time the opening and closing gestures of a human hand, animating a three-dimensional model of it. In other works, this result can be achieved by mapping a set of significant points of a real hand on the corresponding points of the model to animate. We propose an alternative way to produce the same effect without mapping points, but using a level-based estimation of the degree of opening of the hand. The experiments have been executed using Microsoft KinectTM, but the method would work on any other Kinect-like devices (as defined herein). The results obtained are particularly encouraging and demonstrate real-time performance of the syst…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industrygesture recognitionmicrosoft kinectSet (abstract data type)3D animationGesture recognitionhuman-computer interactionComputer graphics (images)Openness to experienceComputer visionArtificial intelligencedepth dataClosing (morphology)businessComputer animationGesture
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Knowledge Discovery and Digital Cartography for the ALS (Linguistic Atlas of Sicily) Project

2009

In this paper the latest developments of the ALS (Linguistic Atlas of Sicily) project are presented. The ALS project has the purpose to define methodologies and tools to allow researches in the socio-linguistic field. Different types of variables (both quantitative and qualitative) are involved. The whole framework is based on the definition of ontology-based applications for the creation, retrieval, manipulation and browsing of related data. To this aim, some mapping processes have been defined. The framework eventually shows the result in many ways including spatial maps. The on-going collaboration process is a perfect example a domain hybridizing process, enabling the training on-the-fie…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniData Abstraction and Mapping Spatial Databases and GIS Markup Languages OntologiesMarkup languageKnowledge extractionDigital mappingAtlas (topology)Computer scienceOntologyOntology (information science)Data scienceLinguistics
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Path Modeling and Retrieval in Distributed Video Surveillance Databases

2012

We propose a framework for querying a distributed database of video surveillance data in order to retrieve a set of likely paths of a person moving in the area under surveillance. In our framework, each camera of the surveillance system locally pro- cesses the data and stores video sequences in a storage unit and the metadata for each detected person in the distributed database. A pedestrian’s path is formulated as a dynamic Bayesian network (DBN) to model the dependencies between subsequent observa- tions of the person as he makes his way through the camera net- work. We propose a tool by which the analyst can pose queries about where a certain person appeared while moving in the site duri…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDistributed databaseDatabasebusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.software_genreComputer Science ApplicationsData modelingMetadataSet (abstract data type)Beam search camera network dynamic Bayesian network (DBN) path modeling path retrievalSignal ProcessingPath (graph theory)Media TechnologyBeam searchComputer visionArtificial intelligenceData miningElectrical and Electronic EngineeringbusinessHidden Markov modelcomputerDynamic Bayesian network
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Agent-Oriented Software Patterns for Rapid and Affordable Robot Programming

2010

Robotic systems are often quite complex to develop: they are huge, heavily constrained from the nonfunctional point of view and they implement challenging algorithms. The lack of integrated methods with reuse approaches leads robotic developers to reinvent the wheel each time a new project starts. This paper proposes to reuse the experience done when building robotic applications, by catching it into design patterns. These represent a general mean for (i) reusing proved solutions increasing the final quality, (ii) communicating the knowledge about a domain and (iii) reducing the development time and effort. Despite of this generality, the proposed repository of patterns is specific for mult…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEngineeringbusiness.industrydesign patternmedia_common.quotation_subjectMulti-agent systemRobotic paradigmsReuseSet (abstract data type)robotics systemsHardware and ArchitectureSoftware design patternmulti-agent systemCode (cryptography)Structural patternQuality (business)Software engineeringbusinessSoftwareInformation Systemsmedia_commonpattern oriented design
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Real-time detection of twitter social events from the user's perspective

2015

Over the last 40 years, automatic solutions to analyze text documents collection have been one of the most attractive challenges in the field of information retrieval. More recently, the focus has moved towards dynamic, distributed environments, where documents are continuously created by the users of a virtual community, i.e., the social network. In the case of Twitter, such documents, called tweets, are usually related to events which involve many people in different parts of the world. In this work we present a system for real-time Twitter data analysis which allows to follow a generic event from the user's point of view. The topic detection algorithm we propose is an improved version of…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFocus (computing)Information retrievalSocial networkPoint (typography)Computer sciencebusiness.industryEvent (computing)Volume (computing)Field (computer science)Set (abstract data type)World Wide WebSocial Sensing Twitter Analysis Topic DetectionbusinessVirtual community2015 IEEE International Conference on Communications (ICC)
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A genetic approach to the maximum common subgraph problem

2019

Finding the maximum common subgraph of a pair of given graphs is a well-known task in theoretical computer science and with considerable practical applications, for example, in the fields of bioinformatics, medicine, chemistry, electronic design and computer vision. This problem is particularly complex and therefore fast heuristics are required to calculate approximate solutions. This article deals with a simple yet effective genetic algorithm that finds quickly a solution, subject to possible geometric constraints.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniGenetic AlgorithmMaximum Common SubgraphTheoretical computer scienceOptimization problemSettore INF/01 - InformaticaComputer science0102 computer and information sciences02 engineering and technology01 natural sciencesTask (project management)Optimization Problem010201 computation theory & mathematicsSimple (abstract algebra)Genetic algorithm0202 electrical engineering electronic engineering information engineeringElectronic design020201 artificial intelligence & image processingHeuristicsProceedings of the 20th International Conference on Computer Systems and Technologies
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A Conceptual Probabilistic Model for the Induction of Image Semantics

2010

In this paper we propose a model based on a conceptual space automatically induced from data. The model is inspired to a well-founded robotics cognitive architecture which is organized in three computational areas: sub-conceptual, linguistic and conceptual. Images are objects in the sub-conceptual area, that become "knoxels" into the conceptual area. The application of the framework grants the automatic emerging of image semantics into the linguistic area. The core of the model is a conceptual space induced automatically from a set of annotated images that exploits and mixes different information concerning the set of images. Multiple low level features are extracted to represent images and…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniImage ClassificationComputer sciencebusiness.industryFeature extractionimage semantics conceptual spaceConceptual model (computer science)Statistical modelcomputer.software_genreConceptual schemaVisualizationSet (abstract data type)Data setAutomatic image annotationLatent Semantic AnalysisArtificial intelligencebusinesscomputerNatural language processing
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An A* Based Semantic Tokenizer for Increasing the Performance of Semantic Applications

2013

Semantic Applications (SAs) makes use of ontolo- gies and their performance can depend on the syntactic labels of the modeled entities; even if several approaches have been devised to formalize ontologies, no formal approaches have been devised for naming their constituents, which look as long word concatenations without any particular separation. We present a novel semantic tokenizer that finds the sub-words through an application of the A* based search algorithm; the A* functions rely on a set of linguistic criteria and on the meta-cognitive perspective of the activity of reading.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalComputer sciencebusiness.industrySemantic searchOntology (information science)computer.software_genreSemantic tokenizer ontology A* tree search UIMASet (abstract data type)Semantic similaritySearch algorithmSemantic computingSemantic analyticsArtificial intelligencebusinesscomputerWord (computer architecture)Natural language processing2013 IEEE Seventh International Conference on Semantic Computing
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An on-line learning method for face association in personal photo collection

2012

Due to the widespread use of cameras, it is very common to collect thousands of personal photos. A proper organization is needed to make the collection usable and to enable an easy photo retrieval. In this paper, we present a method to organize personal photo collections based on ''who'' is in the picture. Our method consists in detecting the faces in the photo sequence and arranging them in groups corresponding to the probable identities. This problem can be conveniently modeled as a multi-target visual tracking where a set of on-line trained classifiers is used to represent the identity models. In contrast to other works where clustering methods are used, our method relies on a probabilis…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalComputer sciencebusiness.industrySemi-supervised learningUSableDigital libraryMachine learningcomputer.software_genreSet (abstract data type)Face descriptor Data association On-line learning Semi-supervised learning Digital librariesFace (geometry)Signal ProcessingIdentity (object-oriented programming)Eye trackingComputer Vision and Pattern RecognitionArtificial intelligencebusinessCluster analysiscomputer
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WikiArt: An Ontology-Based Information Retrieval System for Arts

2009

The paper presents WikiArt, a new system integrating three distinct types of contents about the art: data, information, and knowledge, to generate automatically thematic paths to consult all its contents. WikiArt is a wiki, allowing to manage cooperatively documents about artists, artworks, artistic movements or techniques, and so on. It is also an expert system, provided with an ontology about arts, with which it is able to plan possible different ways of consulting and browsing its contents. This ability is made possible by a second part of the ontology of the system, describing a collection of criteria regarding how to plan thematic paths, and by a set of rules followed by the expert sys…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalComputer scienceinformation retrieval ontology wikiPlan (drawing)Ontology (information science)computer.software_genreThe artsExpert systemTask (project management)Set (abstract data type)World Wide WebKnowledge-based systemsThematic mapcomputer2009 Ninth International Conference on Intelligent Systems Design and Applications
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