Search results for "content"

showing 10 items of 1859 documents

Watch This! The Influence of Recommender Systems and Social Factors on the Content Choices of Streaming Video on Demand Consumers

2021

Streaming Video-on-demand (SVOD) services are getting increasingly popular. Current research, however, lacks knowledge about consumers’ content decision processes and their respective influencing factors. Thus, the work reported on in this paper explores socio-technical interrelations of factors impacting content choices in SVOD, examining the social factors WOM, eWOM and peer mediation, as well as the technological influence of recommender systems. A research model based on the Theory of Reasoned Action and the Technology Acceptance Model was created and tested by an n = 186 study sample. Results show that the quality of a recommender system and not the social mapping functionality is the …

Computer scienceStreaming Video on Demandmedia_common.quotation_subjectsuosittelujärjestelmätpeer mediationSample (statistics)Advertisingtechnology influencekuluttajakäyttäytyminenRecommender systemTheory of reasoned actionMediation(e)word of mouthTechnology acceptance modelQuality (business)recommender systemsvertaisryhmätContent (Freudian dream analysis)social influencesuoratoistopalvelutmedia_commonSocial influence
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Editorial: Mining Scientific Papers: NLP-enhanced Bibliometrics

2019

International audience

Computer science[SHS.INFO]Humanities and Social Sciences/Library and information sciencestext miningBibliometrics050905 science studiescomputer.software_genrescientific papersscientometrics[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]Bibliography. Library science. Information resourcescomputational linguistics[SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of Sciencesnatural language processing[SHS.LANGUE]Humanities and Social Sciences/LinguisticsComputingMilieux_MISCELLANEOUScitation content analysisbusiness.industry05 social sciencesScientometrics[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Artificial intelligence0509 other social sciencesComputational linguistics050904 information & library sciencesbusinesscomputerNatural language processingZ
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Seam-Based Edge Blending for Multi-Projection Systems

2016

Perceptual seamlessness of large-scale tiled displays is still a challenge. One way to avoid Bezel effects from contiguous displays is to blend superimposed parts of the image over the edges. This work proposes a new approach for edge blending. It is based on intensity edge blending adapted on the seam description of the image content. The main advantage of this method is to reduce visual artifacts thanks to context adaptation and smooth transitions. We evaluate the quality of the method with a perceptual experiment where it is compared with state-of-the-art methods. The new method shows most improvement in low frequency areas compared to the other techniques. This method can be inserted in…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage content020207 software engineering02 engineering and technologyEdge (geometry)01 natural scienceslaw.inventionImage (mathematics)010309 opticsProjectorContext adaptationSeam carvinglaw0103 physical sciencesSignal Processing0202 electrical engineering electronic engineering information engineeringComputer visionArtificial intelligenceVisual artifactProjection (set theory)businessComputingMethodologies_COMPUTERGRAPHICSInternational Journal of Signal Processing, Image Processing and Pattern Recognition
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Three-domain image representation for personal photo album management

2010

In this paper we present a novel approach for personal photo album management. Pictures are analyzed and described in three representation spaces, namely, faces, background and time of capture. Faces are automatically detected and rectified using a probabilistic feature extraction technique. Face representation is then produced by computing PCA (Principal Component Analysis). Backgrounds are represented with low-level visual features based on RGB histogram and Gabor filter bank. Temporal data is obtained through the extraction of EXIF (Exchangeable image file format) data. Each image in the collection is then automatically organized using a mean-shift clustering technique. While many system…

Computer sciencebusiness.industryFeature extractionCBIR - Content Based Image Retrieval automatic image annotation personal photo album managementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingcomputer.file_formatGabor filterAutomatic image annotationHistogramFace (geometry)RGB color modelComputer visionArtificial intelligenceImage file formatsImage sensorCluster analysisbusinesscomputer
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An improved distance-based relevance feedback strategy for image retrieval

2013

Most CBIR (content based image retrieval) systems use relevance feedback as a mechanism to improve retrieval results. NN (nearest neighbor) approaches provide an efficient method to compute relevance scores, by using estimated densities of relevant and non-relevant samples in a particular feature space. In this paper, particularities of the CBIR problem are exploited to propose an improved relevance feedback algorithm based on the NN approach. The resulting method has been tested in a number of different situations and compared to the standard NN approach and other existing relevance feedback mechanisms. Experimental results evidence significant improvements in most cases.

Computer sciencebusiness.industryFeature vectorRelevance feedbackMachine learningcomputer.software_genreContent-based image retrievalk-nearest neighbors algorithmSignal ProcessingRelevance (information retrieval)Computer Vision and Pattern RecognitionArtificial intelligencebusinesscomputerImage retrievalDistance basedImage and Vision Computing
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Interactive Image Retrieval Using Smoothed Nearest Neighbor Estimates

2010

Relevance feedback has been adopted by most recent Content Based Image Retrieval systems to reduce the semantic gap that exists between the subjective similarity among images and the similarity measures computed in a given feature space. Distance-based relevance feedback using nearest neighbors has been recently presented as a good tradeoff between simplicity and performance. In this paper, we analyse some shortages of this technique and propose alternatives that help improving the efficiency of the method in terms of the retrieval precision achieved. The resulting method has been evaluated on several repositories which use different feature sets. The results have been compared to those obt…

Computer sciencebusiness.industryFeature vectorRelevance feedbackPattern recognitionContent-based image retrievalcomputer.software_genrek-nearest neighbors algorithmSimilarity (network science)Feature (computer vision)Visual WordArtificial intelligenceData miningbusinessImage retrievalcomputer
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Analysis and Validation of Learning Technology Models, Standards and Specifications

2010

The paper presents a model for the analysis, comparison and validation of standards, specifications and in particular reference models in the field of Technology Enhanced Learning (TEL). The Reference Model Analysis Grid (RMAG) establishes categories of reference models and standards. Based on those categories, a set of criteria for the analysis and validation of standards was elaborated as a part of the ICOPER project that aims at interoperable open content for competency-based TEL. The analysis of standards in this context is targeted at developing a set of validated approaches that lead to a new reference model. Four standards were investigated, taking into account a broad range of aspec…

Computer sciencebusiness.industryInteroperabilityContext (language use)Semantic interoperabilityGridField (computer science)Computer Science ApplicationsSet (abstract data type)Open contentManagement of Technology and InnovationSystems engineeringSoftware engineeringbusinessReference modelInternational Journal of IT Standards and Standardization Research
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Research opportunities in performance measurement in public utilities regulation

2015

Purpose – The purpose of this paper is to propose a method to choose a set of scientific articles about performance measurement in public utilities regulation. The method is designed to identify references with high academic relevance in databases accessed via the internet, and, through these articles, to perform a mapping of these publications and conduct a systemic analysis. Design/methodology/approach – The study is characterized as exploratory and descriptive with a qualitative and quantitative approach. Incorporates an inductive logic, and draws on primary and secondary data sources. The research involves the application of a technical procedure for selection and study of selected art…

Computer sciencebusiness.industryProcess (engineering)Strategy and ManagementSecondary dataGeneral Business Management and AccountingData scienceSet (abstract data type)Identification (information)Content analysisRelevance (information retrieval)The InternetPerformance measurementMarketingbusinessInternational Journal of Productivity and Performance Management
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Sponsored Content in Spanish Media: Strategies, Transparency, and Ethical Concerns

2021

Profound upheavals and the search for a viable business model have led the news industry to explore new sources of revenue. The mainstream Spanish media have set up special units to produce branded...

ComputingMilieux_GENERALBranded contentbusiness.industryCommunicationCredibilityAccountabilityMainstreamRevenuePublic relationsBusiness modelbusinessNative advertisingTransparency (behavior)Digital Journalism
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Integrative Pedagogy in Practicum

2011

The chapter introduces a model of integrative pedagogy in teaching practicum within a Finnish context. The aim of this action research project is to integrate educational theory and practice in teaching practicum with a view to promote student teachers professional autonomy. In the Integrative Pedagogy Model, theoretical knowledge, practical skills and self-regulation (reflective and metacognitive skills) are merged. The empirical part of the chapter is based on the content analysis of the experiences of students and their supervising teachers. The results show that an exceptional sense of community is being achieved in this kind of teaching practicum.

ComputingMilieux_THECOMPUTINGPROFESSIONmedia_common.quotation_subjectEducation theorySense of communityPracticumMetacognitionContext (language use)Content analysisPedagogyComputingMilieux_COMPUTERSANDEDUCATIONAction researchPsychologyAutonomymedia_common
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