Search results for "Image"

showing 10 items of 6818 documents

Folksonomijas analīze sociālajā vietnē Instagram

2018

Folksonomija ir lietotāju brīvi izvēlētu atslēgvārdu kopa, un kā informācijas apstrādes un organizēšanas veids internetā mūsdienās ir plaši izplatīta. Pētījuma mērķis ir izpētīt sociālās vietnes Instagram folksonomiju, analizēt to struktūru, izmantojot kategoriju veidošanas teorijas un Sāras Šatfordes-Leinas (Sara Shatford-Layne) attēlu indeksēšanas modeli. Ar aptaujas palīdzību noskaidrot lietotāju paradumus sociālās vietnes Instagram lietošanā un atslēgvārdu piešķiršanā. Pētījuma mērķa sasniegšanai izmantota gadījuma analīze. Pēc noteiktiem kritērijiem izveidota 30 Instagram fotogrāfiju izlase, kurai veikta pievienoto atslēgvārdu kontentanalīze. Kā arī tika veikta Instagram lietotāju apta…

Attēlu indeksēšanaImage indexingFolksonomijaAtslēgvārdiInstagramBibliotēkzinātne
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Fully automatic face recognition system using a combined audio-visual approach

2005

This paper presents a novel audio and video information fusion approach that greatly improves automatic recognition of people in video sequences. To that end, audio and video information is first used independently to obtain confidence values that indicate the likelihood that a specific person appears in a video shot. Finally, a post-classifier is applied to fuse audio and visual confidence values. The system has been tested on several news sequences and the results indicate that a significant improvement in the recognition rate can be achieved when both modalities are used together.

Audio miningDynamic time warpingModalitiesComputer sciencebusiness.industryShot (filmmaking)Speech recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVideo sequenceFacial recognition systemVideo trackingSignal ProcessingFuse (electrical)Computer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessIEE Proceedings - Vision, Image, and Signal Processing
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On the feasibility of personal audio systems over a network of distributed loudspeakers

2018

Los sistemas de reproducción de audio personal se ocupan de la creación de zonas sonoras personales dentro de una habitación sin necesidad de utilizar auriculares. Estos sistemas utilizan un conjunto de altavoces y diseñan los filtros necesarios en cada altavoz con el fin de que la señal de audio deseada llegue a cada persona en la sala lo más libre de interferencias posible. Existen propuestas muy interesantes en la literatura que hacen uso de arrays circulares o lineales, pero en este trabajo estudiamos el problema considerando una red de altavoces distribuidos controlados por un conjunto de nodos acústicos, que pueden intercambiar información a través de una red. Enunciamos el modelo de …

Audio signalbusiness.product_category:CIENCIAS TECNOLÓGICAS [UNESCO]MicrophoneComputer scienceAcoustics020206 networking & telecommunications02 engineering and technologypersonal audio systemsUNESCO::CIENCIAS TECNOLÓGICASGeneralLiterature_MISCELLANEOUSSignal-to-noise ratioSound reinforcement system0202 electrical engineering electronic engineering information engineeringElectronic engineering020201 artificial intelligence & image processingLoudspeakerDirectional soundwireless acoustic sensor networksbusinessHeadphones
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Augmented Mirror: Interactive Augmented Reality System Based on Kinect

2011

Part 1: Long and Short Papers; International audience; In this paper we present a virtual character controlled by an actor in real time, who talks with an audience through an augmented mirror. The application, which integrates video images, the avatar and other virtual objects within an Augmented Reality system, has been implemented using a mixture of technologies: two kinect systems for motion capture, depth map and real images, a gyroscope to detect head movements, and control algorithms to manage avatar emotions.

Augmented Realitybusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineering02 engineering and technologyVirtual CharactersComputer-mediated realityReal imageMotion captureMixed realityDepth mapMotion CaptureComputer graphics (images)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionAugmented reality[INFO]Computer Science [cs]Artificial intelligencebusiness
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Patrimonio culturale e tecnologia: un incontro ancora da valorizzare

2020

Today, many factors are driving cultural institutions to adopt digitization strategies. For some of them, as organizations in charge of monument care, historical or archaeological museums and heritage parks, this might be critical. Indeed, making available off-site experiences of heritage places, for instance by augmented reality and/or video games, fuels polyvalent and potentially contradictory dynamics. They lay at the intersection of three main dimensions: understanding how cultural heritage and technology interact; which attitudes people in charge of cultural heritage bear, and how tourist destinations are built and promoted. The paper combines information about the evolution of the lit…

Augmented Realityserious gamesDestination imagemedia induced tourismHeritageDestination marketingSettore SECS-P/06 - Economia Applicata
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Wavelets Image Analysis for Friction Stir Processed TiNi Functional Behavior Characterization

2015

Abstract A key topic regarding Ti Ni Shape Memory materials concerns the possibility to attain welded junctions that preserves the shape memory properties of material. Other research topic for SMAs regards the retention of the shape memory effect cyclic stability; in fact, good shape memory properties frequently decrease during SME cycling of material. A method able to improve the cyclic stability of TiNi shape memory effect is the grain refinement. Considering these above mentioned research topics, a solid state welding process, as the Friction Stir Welding, is thus attractive for SMA joining and it exhibits potentials for achieving welded joints affected by microstructural changes that pr…

AusteniteWavelets image analysis Friction Stir Processing Shape memory alloyFriction stir processingMaterials scienceShape memory alloys.MetallurgyWavelets image analysisGeneral MedicineWeldingShape-memory alloyFriction Stir ProcessingMicrostructurelaw.inventionlawDiffusionless transformationMartensiteFriction stir weldingComposite materialEngineering(all)Procedia Engineering
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Machine Learning VS Transfer Learning - Smart Camera Implementation for Face Authentication

2018

The aim of this paper is to highlight differences between classical machine learning and transfer learning applied to low cost real-time face authentication. Furthermore, in an access control context, the size of biometric data should be minimized so it can be stored on a remote personal media. These constraints have led us to compare only lightest versions of these algorithms. Transfer learning applied on Mobilenet v1 raises to 85% of accuracy, for a 457Ko model, with 3680s and 1.43s for training and prediction tasks. In comparison, the fastest integrated method (Random Forest) shows accuracy up to 90% for a 7,9Ko model, with a fifth of a second to be trained and a hundred of microseconds …

AuthenticationComputer sciencebusiness.industry05 social sciencesContext (language use)Access controlMachine learningcomputer.software_genre050105 experimental psychologyRandom forest03 medical and health sciences0302 clinical medicineFace (geometry)0501 psychology and cognitive sciencesArtificial intelligenceBiometric dataSmart camerabusinessTransfer of learningcomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing030217 neurology & neurosurgeryComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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A Comparative Study on Fuzzy-Clustering-Based Lip Region Segmentation Methods

2011

As the first step of many lip-reading or visual speaker authentication systems, lip region segmentation is of vital importance. And fuzzy clustering based methods have been widely used in lip segmentation. In this paper, four fuzzy clustering based lip segmentation methods have been elaborated with their underlying rationale. Experiments have been carried out evaluate their performance comparatively. From the experimental results, SFCM has the best efficiency and FCMST has the best segmentation accuracy.

AuthenticationFuzzy clusteringComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionstomatognathic diseasesComputingMethodologies_PATTERNRECOGNITIONstomatognathic systemSegmentationArtificial intelligencebusinessSpatial analysisTemporal information
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Optical security and encryption with totally incoherent light

2001

We present a method for securing and encrypting information optically by use of totally incoherent illumination. Encryption is performed with a multichannel optical processor working under natural (both temporal and spatially incoherent) light. In this way, the information that is to be secured can be codified by use of color signals and self-luminous displays. The encryption key is a phase-only mask, providing high security from counterfeiting. Output encrypted information is recorded as an intensity image that can be easily stored and transmitted optically or electrically. Decryption or authentication can also be performed optically or digitally. Experimental results are presented.

AuthenticationHigh securitybusiness.industryComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical securityEncryptionAtomic and Molecular Physics and OpticsOptical encryptionDiffractive lensOpticsComputer Science::MultimediabusinessOptical processorComputer Science::DatabasesComputer Science::Cryptography and SecurityOptics Letters
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Sequential Lip Region Segmentation Using Fuzzy Clustering with Spatial and Temporal Information

2012

For many visual speech recognition and visual speaker authentication systems, lip region extraction is of vital important. In order to segment the lip region accurately and robustly from a lip sequence, a new fuzzy-clustering based algorithm is proposed. In the proposed method, a new dissimilarity measure is introduced to take all the color, spatial and temporal information into consideration. An iterative optimization method is employed to derive the optimal lip region membership map and the final segmentation result. From the experimental results, it is observed that the proposed algorithm can provide superior results compared with other traditional methods.

AuthenticationSequenceFuzzy clusteringComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationPattern recognitionMeasure (mathematics)ComputingMethodologies_PATTERNRECOGNITIONSegmentationArtificial intelligencebusinessTemporal information
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