Search results for "VISION"

showing 10 items of 5066 documents

Zero-shot Semantic Segmentation using Relation Network

2021

Zero-shot learning (ZSL) is widely studied in recent years to solve the problem of lacking annotations. Currently, most studies on ZSL are for image classification and object detection. But, zero-shot semantic segmentation, pixel level classification, is still at its early stage. Therefore, this work proposes to extend a zero-shot image classification model, Relation Network (RN), to semantic segmentation tasks. We modified the structure of RN based on other state-of-the-arts semantic segmentation models (i.e. U-Net and DeepLab) and utilizes word embeddings from Caltech-UCSD Birds 200-2011 attributes and natural language processing models (i.e. word2vec and fastText). Because meta-learning …

hahmontunnistus (tietotekniikka)Meta learning (computer science)Computer scienceSemanticscomputer visionlcsh:Telecommunicationmeta-learninglcsh:TK5101-6720SegmentationWord2veczero-shot semantic segmentationkonenäközero-shot learningimage segmentationContextual image classificationbusiness.industrydeep learningPattern recognitionImage segmentationsemantic segmentationObject detectionkoneoppiminenrelation networkArtificial intelligencebusinessWord (computer architecture)
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Revised complementary materials: Engaging people and co-producing research with persons and communities to foster person-centred care: a meta-synthes…

2021

Revisión de los materiales complementarios para el artículo 'Engaging people and co-producing research with persons and communities to foster person-centred care: a meta-synthesis' que incluyen las tables con las citas originales y las referencias bibliográficas incluidas en la muestra. Revision of complementary materials for the article 'Engaging people and co-producing research with persons and communities to foster person-centred care: a meta-synthesis' (pending to be submitted) which include references and original quotations extracted from the articles analysed.

health researchdataUNESCO::SOCIOLOGÍAparticipatory researchqualitative researchliterature revision
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Adult gender roles in three traditional American Indian societies

2006

heimotsukupuoliroolitAmerican Indiansgenderdivision of labourintiaanitautobiographymarriage
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"You, my friend, are a gaycist": gay representations and heteronormativity on the comedy series Happy Endings

2014

Viime vuosikymmenien aikana seksuaalivähemmistöjä koskevat puheenaiheet ovat olleet laajasti esillä länsimaisissa medialähteissä. Televisiossa, uutis- ja ajankohtaisohjelmien lisäksi seksuaalivähemmistöt ovat näkyneet myös fiktiivisissä televisio-ohjelmissa. Erityisesti amerikkalaisissa komediasarjoissa esiintyy paljon fiktiivisiä seksuaalivähemmistöjen edustajia. Vaikka kuvaukset vähemmistöhahmoista näissä sarjoissa ovat fiktiivisiä, vaikuttavat ne silti siihen mitä katsojat seksuaalivähemmistöistä ajattelevat. Fiktiivisten representaatioiden laatu on tärkeässä asemassa. Tämä tutkielma käsittelee homorepresentaatioita ja heteronormatiivisuutta amerikkalaisessa komediasarjassa Happy Endings…

heteronormativityqueer theoryrepresentationcritical discourse analysistelevision
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easyPAC: A Tool for Fast Prediction, Testing and Reference Mapping of Degenerate PCR Primers from Alignments or Consensus Sequences

2012

Video abstract A video abstract by the authors of this paper is available. video-abstract8870.mov

homologous genesparalogous genesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlcsh:EvolutionGenomicsComputational biologyBiologyBioinformaticslaw.inventionlawDegenerate primerGeneticsConsensus sequenceSoftware Reviewlcsh:QH359-425De novo sequencingPCR primer predictionEcology Evolution Behavior and SystematicsPolymerase chain reactionSequence (medicine)Degenerate energy levelsalignmentComputer Science Applicationsconsensus sequencedegenerate primersPrimer (molecular biology)Evolutionary Bioinformatics
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Time Unification on Local Binary Patterns Three Orthogonal Planes for Facial Expression Recognition

2019

International audience; Machine learning has known a tremendous growth within the last years, and lately, thanks to that, some computer vision algorithms started to access what is difficult or even impossible to perceive by the human eye. While deep learning based computer vision algorithms have made themselves more and more present in the recent years, more classical feature extraction methods, such as the ones based on Local Binary Patterns (LBP), still present a non negligible interest, especially when dealing with small datasets. Furthermore, this operator has proven to be quite useful for facial emotions and human gestures recognition in general. Micro-Expression (ME) classification is…

human eyeHistogramsgeometryUnificationComputer scienceLocal binary patternsoptimisationFeature extraction02 engineering and technologyhuman gestures recognitionFacial recognition systemcomputer visionVideos[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]time unification method03 medical and health sciences0302 clinical medicineMathematical modelLBPemotion recognition0202 electrical engineering electronic engineering information engineeringfacial emotionsfacial expression recognitionlocal binary patternsFace recognitionContextual image classificationArtificial neural networkbusiness.industryDeep learningdeep learning[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitionComputational modelingmicroexpression classificationInterpolationorthogonal planesneural netsmachine learning[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Micro expressionFeature extraction020201 artificial intelligence & image processinglearning (artificial intelligence)Artificial intelligencebusiness030217 neurology & neurosurgeryGestureimage classification
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WATCHING PEOPLE: ALGORITHMS TO STUDY HUMAN MOTION AND ACTIVITIES

2020

Nowadays human motion analysis is one of the most active research topics in Computer Vision and it is receiving an increasing attention from both the industrial and scientific communities. The growing interest in human motion analysis is motivated by the increasing number of promising applications, ranging from surveillance, human–computer interaction, virtual reality to healthcare, sports, computer games and video conferencing, just to name a few. The aim of this thesis is to give an overview of the various tasks involved in visual motion analysis of the human body and to present the issues and possible solutions related to it. In this thesis, visual motion analysis is categorized into thr…

human motionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionihuman actvity recognitionaction recognition360°360 cameradeep learningtracking 360°computer vision360° camerahuman behaviors segmentation360-degreepedestrian trackinghuman motion trackingtime serietime-serie
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A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python

2021

Commercial hyperspectral imagers (HSIs) are expensive and thus unobtainable for large audiences or research groups with low funding. In this study, we used an existing do-it-yourself push-broom HSI design for which we provide software to correct for spectral smile aberration without using an optical laboratory. The software also corrects an aberration which we call tilt. The tilt is specific for the particular imager design used, but correcting it may be beneficial for other similar devices. The tilt and spectral smile were reduced to zero in terms of used metrics. The software artifact is available as an open-source Github repository. We also present improved casing for the imager design, …

hyperspectral imagerspektrikuvaustietokoneohjelmatComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONdo it yourselflcsh:Chemical technologyoptical aberrationaberration correctionArticlespectral smileavoin lähdekoodioptiset laitteettutkimusvälineetlcsh:TP1-1185open-sourceSensors
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Restoration and Enhancement of Historical Stereo Photos

2021

Restoration of digital visual media acquired from repositories of historical photographic and cinematographic material is of key importance for the preservation, study and transmission of the legacy of past cultures to the coming generations. In this paper, a fully automatic approach to the digital restoration of historical stereo photographs is proposed, referred to as Stacked Median Restoration plus (SMR+). The approach exploits the content redundancy in stereo pairs for detecting and fixing scratches, dust, dirt spots and many other defects in the original images, as well as improving contrast and illumination. This is done by estimating the optical flow between the images, and using it …

image denoisingComputer sciencemedia_common.quotation_subjectNoise reductionComputer applications to medicine. Medical informaticsR858-859.7ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flow02 engineering and technologyimage restorationArticleoptical flowgradient filteringPhotography0202 electrical engineering electronic engineering information engineeringRedundancy (engineering)historical photosContrast (vision)Radiology Nuclear Medicine and imagingComputer visionimage enhancementElectrical and Electronic EngineeringTR1-1050stereo matchingImage restorationmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioniguided supersamplingImage fusionSettore INF/01 - Informaticabusiness.industry020206 networking & telecommunicationsSupersamplingQA75.5-76.95stacked medianComputer Graphics and Computer-Aided DesignTransmission (telecommunications)Electronic computers. Computer science020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessimage denoising image restoration image enhancement stereo matching optical flow gradient filtering stacked median guided supersampling historical photosJournal of Imaging
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Space-Frequency Quantization for Image Compression With Directionlets

2007

The standard separable 2-D wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to efficiently capture 1-D discontinuities, like edges or contours. These features, being elongated and characterized by geometrical regularity along different directions, intersect and generate many large magnitude wavelet coefficients. Since contours are very important elements in the visual perception of images, to provide a good visual quality of compressed images, it is fundamental to preserve good reconstruction of these directional features. In our previous work, we proposed a construction of critic…

image orientation analysisMultiresolution analysisVideo RecordingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingnonseparable transformsmultiresolution analysisRate–distortion theoryWaveletDVMsImage Interpretation Computer-AssistedComputer GraphicsComputer visionQuantization (image processing)image codingimage segmentationMathematicsbusiness.industryWavelet transformNumerical Analysis Computer-AssistedSignal Processing Computer-AssistedWTsData CompressionImage EnhancementComputer Graphics and Computer-Aided Designwavelet transformsdirectional vanishing momentsdirectional transformsArtificial intelligencebusinessAlgorithmsSoftwareImage compressionData compressionIEEE Transactions on Image Processing
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