Search results for "ndc"

showing 10 items of 1025 documents

Multiplexing of encrypted data using fractal masks

2012

In this Letter, we present to the best of our knowledge a new all-optical technique for multiple-image encryption and multiplexing, based on fractal encrypting masks. The optical architecture is a joint transform correlator. The multiplexed encrypted data are stored in a photorefractive crystal. The fractal parameters of the key can be easily tuned to lead to a multiplexing operation without cross talk effects. Experimental results that support the potential of the method are presented.

ImaginationImage EncryptionSystemComputer sciencemedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTransformPhysics::OpticsStorageEncryptionMultiplexingCrosstalkSearch engineOpticsFractalElectronic engineeringDomainComputer Science::Information TheoryComputer Science::Cryptography and Securitymedia_commonbusiness.industryAtomic and Molecular Physics and OpticsOptical encryptionFISICA APLICADAPhotorefractive crystalOptical EncryptionbusinessTelecommunications
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BlockSee: Blockchain for IoT video surveillance in smart cities

2018

The growing demand for safety in urban environments is supported by monitoring using video surveillance. The need to analyze multiple video-flows from different cameras deployed around the city by heterogeneous owners introduces vulnerabilities and privacy issues. Video frames, timestamps, and camera settings can be digitally manipulated by malicious users; the positions of cameras, their orientation and their mechanical settings can be physically manipulated. Digital and physical manipulations may have several effects, including the change of the observed scene and the potential violation of neighbors' privacy. To face these risks, we introduce BlockSee, a blockchain-based video surveillan…

Immutabilityblockchain video surveillance privacyBlockchainbusiness.industryPHYSICAL MANIPULATIONSComputer scienceOrientation (computer vision)Settore ING-INF/03 - TelecomunicazioniComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineeringMonitoring system02 engineering and technologyComputer securitycomputer.software_genreFace (geometry)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingTimestampInternet of Thingsbusinesscomputer
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"Table 1" of "Search for long-lived, heavy particles in final states with a muon and multi-track displaced vertex in proton-proton collisions at sqrt…

2012

Efficiency-vs-radial-vertex-position without re-tracking The efficiency for reconstructing a displaced vertex passing all cuts, as a function of radial distance from the z-axis to the vertex positon. The retrack and noretrack suffixes refer to whether or not the procedure known as re-tracking, where the tracking algorithm is re-run with looser cuts, on the leftover hits from standard tracking, was used to select the tracks that were input to the vertexing algorithm.

InclusiveProton-Proton ScatteringComputer Science::Discrete MathematicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION7000.0EfficiencyP P --> CHGD-HADRONS MUON XMuon productionMathematicsofComputing_DISCRETEMATHEMATICSComputingMethodologies_COMPUTERGRAPHICS
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"Table 2" of "Search for long-lived, heavy particles in final states with a muon and multi-track displaced vertex in proton-proton collisions at sqrt…

2012

Efficiency-vs-radial-vertex-position with re-tracking The efficiency for reconstructing a displaced vertex passing all cuts, as a function of radial distance from the z-axis to the vertex positon. The retrack and noretrack suffixes refer to whether or not the procedure known as re-tracking, where the tracking algorithm is re-run with looser cuts, on the leftover hits from standard tracking, was used to select the tracks that were input to the vertexing algorithm.

InclusiveProton-Proton ScatteringComputer Science::Discrete MathematicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION7000.0EfficiencyP P --> CHGD-HADRONS MUON XMuon productionMathematicsofComputing_DISCRETEMATHEMATICSComputingMethodologies_COMPUTERGRAPHICS
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The Anatomy of an Optical Biopsy Semantic Retrieval System

2012

A case-based computer-aided diagnosis system assists physicians and other medical personnel in the interpretation of optical biopsies obtained through confocal laser endomicroscopy. Extraction in CLE images shows promising results on inferring semantic metadata from low-level features. In order to effectively ensure the interoperability with potential third-party applications, the system provides an interface compliant with the recent standards ISO/IEC 15938-12:2008 (MPEG Query Format) and ISO/IEC 24800 (JPEG Search).

Information retrievalComputer scienceInterface (computing)InteroperabilityFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFeature recognitioncomputer.file_formatOptical BiopsyJPEGComputer Science ApplicationsMetadataHardware and ArchitectureSignal ProcessingMedia TechnologycomputerImage retrievalSoftwareIEEE Multimedia
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<title>Combining multiple image descriptions for browsing and retrieval</title>

2000

Retrieving images form large collections using image content is an important problem, in this multimedia age. A quick content-based visual access to the stored image is capital for efficient navigation through image collections. In this paper we introduce several techniques which characterize color homogeneous object and their spatial relationships for efficient content-based image retrieval. We present a region growing technique for efficient color homogeneous objects segmentation and extend the 2D string to an accurate description of spatial information and relationships. In order to improve content-based image retrieval, our method emphasized several objectives, such as: automated extrac…

Information retrievalComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContent-based image retrievalAutomatic image annotationImage textureRegion growingHuman–computer information retrievalComputer visionSegmentationVisual WordArtificial intelligencebusinessImage retrievalFeature detection (computer vision)SPIE Proceedings
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Automatic building of a visual interface for content-based multiresolution retrieval of paleontology images

2001

In this article we present research work in the field of content-based image retrieval in large databases applied to the paleontology image database of the Universite´ de Bourgogne, Dijon, France, called ‘‘TRANS’TYFIPAL.’’ Our indexing method is based on multiresolution decomposition of database images using wavelets. For each family of paleontology images we try to find a model image that represents it. The K-means automatic classification algorithm divides the space of parameters into several clusters. A model image for each cluster is computed from the wavelet transform of each image of the cluster. Then a search tree is built to offer users a graphic interface for retrieving images. So …

Information retrievalContextual image classificationComputer sciencebusiness.industrySearch engine indexingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunicationsImage processing02 engineering and technologyContent-based image retrievalAtomic and Molecular Physics and OpticsSearch treeComputer Science ApplicationsPaleontologyAutomatic image annotation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionVisual WordArtificial intelligenceElectrical and Electronic EngineeringbusinessImage retrievalComputingMilieux_MISCELLANEOUS
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Novel Indexing Method of Relations Between Salient Objects

2011

Since the last decade, images have been integrated into several application domains such as GIS, medicine, etc. This integration necessitates new managing methods particularly in image retrieval. Queries should be formulated using different types of features such as low-level features of images (histograms, color distribution, etc.), spatial and temporal relations between salient objects, semantic features, etc. In this chapter, we propose a novel method for identifying and indexing several types of relations between salient objects. Spatial relations are used here to show how our method can provide high expressive power to relations in comparison to the traditional methods.

Information retrievalGeographic information systemRelational databasebusiness.industryComputer scienceSearch engine indexingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONExpressive powerSalient objectsSpatial relationHistogram[INFO]Computer Science [cs]businessImage retrieval
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An interactive evolutionary approach for content based image retrieval

2009

Content Based Image Retrieval (CBIR) systems aim to provide a means to find pictures in large repositories without using any other information except its contents usually as low-level descriptors. Since these descriptors do not exactly match the high level semantics of the image, assessing perceptual similarity between two pictures using only their feature vectors is not a trivial task. In fact, the ability of a system to induce high level semantic concepts from the feature vector of an image is one of the aspects which most influences its performance. This paper describes a CBIR algorithm which combines relevance feedback, evolutionary computation concepts and ad-hoc strategies in an attem…

Information retrievalbusiness.industryComputer scienceFeature vectorFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRelevance feedbackPattern recognitionContent-based image retrievalSemanticsEvolutionary computationHistogramVisual WordArtificial intelligencebusinessImage retrieval2009 IEEE International Conference on Systems, Man and Cybernetics
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Machine Learning-Based View Synthesis in Fourier Lightfield Microscopy

2022

Current interest in Fourier lightfield microscopy is increasing, due to its ability to acquire 3D images of thick dynamic samples. This technique is based on simultaneously capturing, in a single shot, and with a monocular setup, a number of orthographic perspective views of 3D microscopic samples. An essential feature of Fourier lightfield microscopy is that the number of acquired views is low, due to the trade-off relationship existing between the number of views and their corresponding lateral resolution. Therefore, it is important to have a tool for the generation of a high number of synthesized view images, without compromising their lateral resolution. In this context we investigate h…

InformáticaMicroscopyFourier lightfield microscopy; view synthesis; neural radiance fields; 3D microscopyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBiochemistryComputer scienceAtomic and Molecular Physics and OpticsAnalytical ChemistryMachine LearningMicroscòpiaInstrumento ópticoImaging Three-DimensionalTecnología avanzadaAlgoritmoNeural radiance fields3D microscopyFourier lightfield microscopyElectrical and Electronic EngineeringView synthesisFourier Anàlisi deInstrumentation
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