Search results for "Annotation"

showing 10 items of 161 documents

Composition of SIFT features for robust image representation

2010

In this paper we propose a novel feature based on SIFT (Scale Invariant Feature Transform) algorithm1 for the robust representation of local visual contents. SIFT features have raised much interest for their power of description of visual content characterizing punctual information against variation of luminance and change of viewpoint and they are very useful to capture local information. For a single image hundreds of keypoints are found and they are particularly suitable for tasks dealing with image registration or image matching. In this work we stretched the spatial coverage of descriptors creating a novel feature as composition of keypoints present in an image region while maintaining…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationScale-invariant feature transformartificial intelligenceLuminanceimage annotationImage (mathematics)bag of wordsFeature (computer vision)SIFTvisual termsComputer visionArtificial intelligenceAffine transformationbusinessRepresentation (mathematics)semanticsImage representationFeature detection (computer vision)
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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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Collective Reasoning over Shared Concepts for the Linguistic Atlas of Sicily

2013

In this chapter, collective intelligence principles are applied in the context of the Linguistic Atlas of Sicily (ALS - Atlante Linguistico Siciliano), an interdisciplinary research focusing on the study of the Italian language as it is spoken in Sicily, and its correlation with the Sicilian dialect and other regional varieties spoken in Sicily. The project has been developed over the past two decades and includes a complex information system supporting linguistic research; recently it has grown to allow research scientists to cooperate in an integrated environment to produce significant scientific advances in the field of ethnologic and sociolinguistic research. An interoperable infrastruc…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMarkup languagebusiness.industryData managementInteroperabilityCollective intelligenceContext (language use)computer.software_genreLinguisticsGeographyCommon knowledgeALSethnologic research sociolinguistic research Linguistic Atlas of Sicily collective reasoningshared concepts Data integration Social interaction Search engineEmergent knowledge Sociolinguistic Spoken Transcription Linguistic annotation Linguistic Phenomena Collective intelligence Information retrieval Audio analysis Wavesurfer Collective Knowledge System information exchange Knowledge Discovery in Database Linguistic framework Interviews Biographic information Meta-linguistic information Social characterization Statistic InformationDiatopiaFilologicheiBatis framework spectrogram analysisMarkup language Geographic information system Pronunciation Linguistic tools Data management SAX builder Results dissemination Geo-localized informationdata exploration geographically referenced visualizationbusinesscomputerInformation exchangeData integration
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Retinal image synthesis through the least action principle

2020

Eye fundus image analysis is a fundamental approach in medical diagnosis and follow-up ophthalmic diagnostics. Manual annotation by experts needs hard work, thus only a small set of annotated vessel structures is available. Examples such as DRIVE and STARE include small sets for training images of fundus image benchmarks. Moreover, there is no vessel structure annotation for a number of fundus image datasets. Synthetic images have been generated by using appropriate parameters for the modeling of vascular networks or by methods developing deep learning techniques and supported by performance hardware. Our methodology aims to produce high-resolution synthetic fundus images alternative to the…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticapredictive evaluation diseasesComputer sciencebusiness.industryDeep learningComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFundus (eye)Real imageSmall setPrinciple of least actionImage (mathematics)fundus image analysisAnnotationComputer visionArtificial intelligenceMedical diagnosisbusinessstatistical featuressynthetic retinal imagedata augmentation2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
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The ALSWEB Framework: A Web-based Framework for the Linguistic Atlas of Sicily Project

2011

In this work the ALSWEB framework is presented. The ALSWEB is a virtual linguistic laboratory for linguistic research developed as a web application. The purpose of the framework is to model the entire process regarding the different steps of data acquisition, data transformation, information acquisition from different data and research hypotheses verification in the ALS (Linguistic Atlas of Sicily) project. The nature of the ALS research involves different type of data. The socio-linguistic researcher that is the main actor of the proposed framework has to acquire information in many formats: multimedia data, audio data, question-answer (textual) from particular questionnaires. In this wor…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryComputer sciencecomputer.internet_protocolVirtual realityPragmaticsData scienceLinguisticsSoftwareKnowledge extractionKnowledge Discovery Linguistic Annotation XML Data IntegrationWeb applicationThe InternetbusinesscomputerXML2011 IEEE International Conference on Advanced Information Networking and Applications
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I marginalia di Dino Buzzati: schemi, illustrazioni e disegni

2022

Secondo questa proposta di lettura dell'opera grafica di Dino Buzzati, che può essere estesa anche ad altri autori dal doppio talento, i disegni ai margini della scrittura possono essere interpretati allora nella loro funzione di relazione tra le arti che si risolve in una interazione, una negoziazione, uno slittamento oppure un conflitto, una cancellatura. Inoltre le annotazioni ai margini della scrittura, soprattutto nelle loro versioni grafiche, costituiscono una forma di introspezione autobiografica assai preziosa per ricostruire il profilo del loro autore, se scrittore e disegnatore al contempo.

Settore L-FIL-LET/14 - Critica Letteraria E Letterature ComparateAccording to this proposed analysis of Dino Buzzati's graphic work which can also be extended to other doubly talented authors the drawings at the margins of writing can be interpreted then in their function as a relationship between the arts that results in an interaction a negotiation a slippage or a conflict an erasure. Moreover annotations in the margins of writing especially in their graphic versions constitute a form of autobiographical introspection that is very valuable for reconstructing the profile of their author if writer and artist at the same time.
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Miten viittomakielen korpusta luodaan ja mihin sitä tarvitaan? Viittomakielten korpukset ja niiden tehtävät

2020

Artikkeli käsittelee suomalaisen ja suomenruotsalaisen viittomakielen korpusten luontia CFINSL-projektissa (Corpus project of Finland’s sign languages, Suomen viittomakielten korpusprojekti). Viittomakielillä ei ole kirjoitettua muotoa, joten korpusten laatiminen vaatii erilaista lähestymistä kuin korpusten luonti sellaisille puhutuille kielille, joilla on kirjoitettu muoto. Artikkelissa kuvataan ne menetelmät, joilla Jyväskylän yliopiston viittomakielen keskuksessa on koottu aineistoa suomalaisen ja suomenruotsalaisen viittomakielen korpukseen. Lisäksi kuvataan korpusaineiston teknistä käsittelyä, annotointia, metatietojen keruuta ja käsittelyä sekä aineiston säilytystä ja tutkijoiden käyt…

SignbankComputer sciencebusiness.industrySign languagecomputer.software_genreLexical databaseMetadataAnnotationsuomenruotsalainen viittomakieliviittomakielien korpussuomalainen viittomakieliGeneral Earth and Planetary ScienceskorpuksetArtificial intelligenceleksikkotietokantabusinesscomputerNatural language processingannotaatioGeneral Environmental ScienceSign (mathematics)Puhe ja kieli
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unitas: the universal tool for annotation of small RNAs

2017

AbstractBackgroundNext generation sequencing is a key technique in small RNA biology research that has led to the discovery of functionally different classes of small non-coding RNAs in the past years. However, reliable annotation of the extensive amounts of small non-coding RNA data produced by high-throughput sequencing is time-consuming and requires robust bioinformatics expertise. Moreover, existing tools have a number of shortcomings including a lack of sensitivity under certain conditions, limited number of supported species or detectable sub-classes of small RNAs.ResultsHere we introduce unitas, an out-of-the-box ready software for complete annotation of small RNA sequence datasets, …

Small RNAtRNA-derived fragments (tRFs)Computational biologypiRNABiologyDNA sequencing570 Life sciencesAnnotationEnsemblHumansRNA-seq data analysismiRNAGeneticsbusiness.industryphasiRNARNAHigh-Throughput Nucleotide SequencingUsabilityMolecular Sequence AnnotationNon-coding RNAKey (cryptography)RNA Small UntranslatedSmall non-coding RNAsbusinessSoftwareHeLa Cells570 Biowissenschaften
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Assisted labeling for spam account detection on twitter

2019

Online Social Networks (OSNs) have become increasingly popular both because of their ease of use and their availability through almost any smart device. Unfortunately, these characteristics make OSNs also target of users interested in performing malicious activities, such as spreading malware and performing phishing attacks. In this paper we address the problem of spam detection on Twitter providing a novel method to support the creation of large-scale annotated datasets. More specifically, URL inspection and tweet clustering are performed in order to detect some common behaviors of spammers and legitimate users. Finally, the manual annotation effort is further reduced by grouping similar u…

Social network021110 strategic defence & security studiesInformation retrievalSocial networkbusiness.industryComputer scienceSpam detectionSmart device0211 other engineering and technologies020206 networking & telecommunicationsUsability02 engineering and technologycomputer.software_genrePhishinglaw.inventionManual annotationlawComputer security0202 electrical engineering electronic engineering information engineeringBlacklistingMalwarebusinessCluster analysiscomputer
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Distance-based functions for image comparison

1999

The interest in digital image comparison is steadily growing in the computer vision community. The definition of a suitable comparison measure for non-binary images is relevant in many image processing applications. Visual tasks like segmentation and classification require the evaluation of equivalence classes. Measures of similarity are also used to evaluate lossy compression algorithms and to define pictorial indices in image content based retrieval methods. In this paper we develop a distance-based approach to image similarity evaluation and we present several image distances which are based on low level features. The sensitivity and eAectiveness are tested on real data. ” 1999 Published…

Standard test imagebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingPattern recognitionImage segmentationAutomatic image annotationImage textureArtificial IntelligenceSignal ProcessingDigital image processingComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessImage retrievalSoftwareMathematicsFeature detection (computer vision)Pattern Recognition Letters
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