Search results for " Vision"

showing 10 items of 2709 documents

Effect of Camera Angle on Perception of Trust and Attractiveness

2017

Film theories have long proposed that the vertical camera angle influences how the scene and the character in it are interpreted. An elevated camera (high-angle shot) should diminish the qualities of the actor, whereas a lowered camera (low-angle shot) should elevate the actor in perspective as well as in the viewer’s opinion. We were interested in how this holds up for the impression of trustworthiness and attractiveness that the spectator receives of the actor. We filmed 12 actors in a scenario inspired by a TV show called Split or Steal, which features a one-time version of the prisoner’s dilemma. Subjects had to rate trustworthiness and attractiveness of the actors, and also judge if t…

AttractivenessLiterature and Literary TheoryVisual Arts and Performing ArtsComputer sciencebusiness.industryShot (filmmaking)media_common.quotation_subject05 social sciencesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION050109 social psychologySemantics050105 experimental psychologyCharacter (mathematics)Camera anglePerception0501 psychology and cognitive sciencesComputer visionArtificial intelligencebusinessMusicmedia_commonEmpirical Studies of the Arts
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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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2015

Visuo-auditory sensory substitution systems are augmented reality devices that translate a video stream into an audio stream in order to help the blind in daily tasks requiring visuo-spatial information. In this work, we present both a new mobile device and a transcoding method specifically designed to sonify moving objects. Frame differencing is used to extract spatial features from the video stream and two-dimensional spatial information is converted into audio cues using pitch, interaural time difference and interaural level difference. Using numerical methods, we attempt to reconstruct visuo-spatial information based on audio signals generated from various video stimuli. We show that de…

Audio signalComputer Networks and Communicationsbusiness.industryComputer scienceSpeech recognitionMotion detectionTranscodingAudio signal flowVideo processingcomputer.software_genreSensory substitutionArtificial IntelligenceHardware and ArchitectureSonificationComputer visionArtificial intelligencebusinessAudio signal processingcomputerSoftwareInformation SystemsFrontiers in ICT
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Eye tracking analysis of minor details in films for audio description

2012

This article focuses on the many instances when minute details found in feature films may have direct implications upon the development of both the visual and plot narratives. The main question we would like to ask examines whether very subtle details which may easily go unnoticed by the viewer should be audio described. To assess the visual consciousness of such minute details, a perception experiment was conducted using eye-tracking technology and questionnaires. Though the result is not conclusive, it shows a clear methodological approach in the field of the audio description of visual details, and does give some indication as to what should be taken into consideration in future studies …

AudiodescripciónLinguistics and LanguageAudio description; Eye tracking; Media accessibility; Audiovisual translationComputer sciencemedia_common.quotation_subjectÀudiodescripcióMinor (academic)Traducció audiovisualAudio descriptioncomputer.software_genreMedia accessibilityLanguage and LinguisticsPlot (graphics)Field (computer science)EducationHuman–computer interactionAudiodescripción; Accesibilidad a los medios; Traducción audiovisualPerceptionNarrativemedia_commonUNESCO::CIENCIAS DE LAS ARTES Y LAS LETRASEye trackingMultimediaAccessibilidad a los mediosAudio descriptionTranslation and InterpretingTraducción e InterpretaciónTraducció--RevistesTraducción audiovisualFeature (computer vision)Accesibilidad a los medios:CIENCIAS DE LAS ARTES Y LAS LETRAS [UNESCO]Eye trackingAccessibilitat als mitjanscomputerAudiovisual translation
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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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Fingerprint Quality Evaluation in a Novel Embedded Authentication System for Mobile Users

2015

The way people access resources, data and services, is radically changing using modern mobile technologies. In this scenario, biometry is a good solution for security issues even if its performance is influenced by the acquired data quality. In this paper, a novel embedded automatic fingerprint authentication system (AFAS) for mobile users is described. The goal of the proposed system is to improve the performance of a standard embedded AFAS in order to enable its employment in mobile devices architectures. The system is focused on the quality evaluation of the raw acquired fingerprint, identifying areas of poor quality. Using this approach, no image enhancement process is needed after the …

AuthenticationArticle SubjectComputer Networks and CommunicationsComputer sciencebusiness.industrymedia_common.quotation_subjectFingerprint (computing)Real-time computingFingerprint Verification CompetitionComputer Science Applications1707 Computer Vision and Pattern RecognitionTK5101-6720Fingerprint recognitionComputer Science ApplicationsComputer Networks and CommunicationEmbedded systemData qualityTelecommunicationMobile technologyQuality (business)businessMobile devicemedia_commonMobile Information Systems
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LogDet divergence-based metric learning with triplet constraints and its applications.

2014

How to select and weigh features has always been a difficult problem in many image processing and pattern recognition applications. A data-dependent distance measure can address this problem to a certain extent, and therefore an accurate and efficient metric learning becomes necessary. In this paper, we propose a LogDet divergence-based metric learning with triplet constraints (LDMLT) approach, which can learn Mahalanobis distance metric accurately and efficiently. First of all, we demonstrate the good properties of triplet constraints and apply it in LogDet divergence-based metric learning model. Then, to deal with high-dimensional data, we apply a compressed representation method to learn…

AutomatedData InterpretationBiometryFeature extractionhigh dimensional datametric learningPattern RecognitionFacial recognition systemSensitivity and SpecificityMatrix decompositionPattern Recognition Automatedcompressed representationComputer-AssistedArtificial Intelligencecompressed representation; high dimensional data; LogDet divergence; metric learning; triplet constraint; Artificial Intelligence; Biometry; Data Interpretation Statistical; Face; Humans; Image Enhancement; Image Interpretation Computer-Assisted; Pattern Recognition Automated; Photography; Reproducibility of Results; Sensitivity and Specificity; Algorithms; Facial Expression; Software; Medicine (all); Computer Graphics and Computer-Aided DesignImage Interpretation Computer-AssistedPhotographyHumansDivergence (statistics)Image retrievalImage InterpretationMathematicsMahalanobis distancebusiness.industryLogDet divergenceMedicine (all)Reproducibility of ResultsPattern recognitionStatisticalImage EnhancementComputer Graphics and Computer-Aided DesignFacial ExpressionComputingMethodologies_PATTERNRECOGNITIONComputer Science::Computer Vision and Pattern RecognitionData Interpretation StatisticalFaceMetric (mathematics)Pattern recognition (psychology)Artificial intelligencetriplet constraintbusinessSoftwareAlgorithmsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Mathematical Methods in Image Processing and Computer Vision

2016

Image processing and computer vision are growing research fields that take advantage of the increasing power or modern computers linked with sophisticated techniques coming from many fields of expertise and in particular from mathematics. We present an introduction to some problems in computer vision and image processing and to some mathematical techniques and concepts that are nowadays routinely used to approach them.

Automatic image annotationbusiness.industryHuman visual system model3D reconstructionDigital image processingComputer vision and image processingComputer visionImage processingArtificial intelligenceImage analysisImage-based modeling and renderingbusiness
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Low cost three-dimensional virtual model construction for remanufacturing industry

2018

Remanufactured products can save up to 80% of production and energy costs whilst generating lower CO2 emissions. The key success factors for remanufacturing are quality, lead-time and cost. Extensive work within the industry and the detailed analysis of the remanufacturing process has shown that component inspection has significant bearing on overall productivity. Remanufacturing lacks automation because activities are predominantly manual. Automation of remanufacturing process will not only decrease the number of non-remanufacturable components, through decreasing cost and increasing consistency in quality, but also attract industries to design for remanufacture. A digital model of the com…

Automotive engine0209 industrial biotechnologyComputer scienceMachine vision020209 energyTKPoint cloud02 engineering and technologyManagement Monitoring Policy and LawTSMachine visionIndustrial and Manufacturing EngineeringSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationDigital manufacturingddc:6500202 electrical engineering electronic engineering information engineering3D reconstructionWaste Management and DisposalRemanufacturingbusiness.industry3D reconstruction Digital manufacturing Machine vision RemanufacturingCyber-physical systemAutomationIndustrial engineeringTA174Digital manufacturingbusinessEngineering design processRemanufacturing
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Background subtraction for aerial surveillance conditions

2014

International audience; The first step in a surveillance system is to create a representation of the environment. Background subtraction is widely used algorithm to define a part of an image that most time remains stationary in a video. In surveillance tasks, this model helps to recognize those outlier objects in an area under monitoring. Set up a background model on moving platforms (intelligent cars, UAVs, etc.) is a challenging task due camera motion when images are acquired. In this paper, we propose a method to support instabilities caused by aerial images fusing spatial and temporal information about image motion. We used frame difference as first approximation, then age of pixels is …

Background subtractionPixelbusiness.industryComputer science[SPI] Engineering Sciences [physics]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMotion (physics)Image (mathematics)[SPI]Engineering Sciences [physics]Motion estimationOutlierComputer visionArtificial intelligencebusinessRepresentation (mathematics)Aerial imageComputingMilieux_MISCELLANEOUS
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