Search results for "VISION"

showing 10 items of 5066 documents

Attentional vs computational complexity measures in observing paintings

2009

Because of the great heterogeneity of subjects and styles, esthetic perception delineates a special and elusive field of research in vision, which represents an interesting challenge for cognitive science tools. With specific regard to the role of visual complexity, in this paper we present an experiment aimed to measure this dimension in a heterogeneous set of paintings. We compared perceived time complexity measures - based on a temporal estimation paradigm - with physical and statistical properties of the paintings, obtaining a strong correlation between psychological and computational results.

Computational complexity theoryVisionmedia_common.quotation_subjectMedicine in the ArtsVisual PhysiologyExperimental and Cognitive PsychologyField (computer science)PerceptionHumansAttentionDimension (data warehouse)Set (psychology)Time complexitymedia_commonSettore INF/01 - Informaticabusiness.industryDistance PerceptionComplexityForm PerceptionPattern Recognition VisualPattern recognition (psychology)PaintingsComputer Vision and Pattern RecognitionArtificial intelligenceFactor Analysis StatisticalPsychologybusinessPhotic StimulationCognitive psychology
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Low-Rate Reduced Complexity Image Compression using Directionlets

2006

The standard separable two-dimensional (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 capture efficiently one-dimensional (1-D) discontinuities, like edges and contours, that are anisotropic and characterized by geometrical regularity along different directions. In our previous work, we proposed a construction of critically sampled perfect reconstruction anisotropic transform with directional vanishing moments (DVM) imposed in the corresponding basis functions, called directionlets. Here, we show that the computational complexity of our transform is comparable to the co…

Computational complexity theorybusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage codingWavelet transformPattern recognitionImage processingImage segmentationSparse approximationWavelet transformsWaveletData compressionImage reconstructionArtificial intelligencebusinessImage representationMathematicsImage compressionData compression2006 International Conference on Image Processing
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A Variational Approach for Denoising Hyperspectral Images Corrupted by Poisson Distributed Noise

2014

Poisson distributed noise, such as photon noise is an important noise source in multi- and hyperspectral images. We propose a variational based denoising approach, that accounts the vectorial structure of a spectral image cube, as well as the poisson distributed noise. For this aim, we extend an approach for monochromatic images, by a regularisation term, that is spectrally and spatially adaptive and preserves edges. In order to take the high computational complexity into account, we derive a Split Bregman optimisation for the proposed model. The results show the advantages of the proposed approach compared to a marginal approach on synthetic and real data.

Computational complexity theorybusiness.industryNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHyperspectral imagingPoisson distributionTerm (time)symbols.namesakeNoiseComputer Science::Computer Vision and Pattern RecognitionsymbolsComputer visionArtificial intelligenceMonochromatic colorCubebusinessAlgorithmMathematics
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Space-Frequency Quantization using Directionlets

2007

In our previous work we proposed a construction of critically sampled perfect reconstruction transforms with directional vanishing moments (DVMs) imposed in the corresponding basis functions along different directions, called directionlets. Here, we combine the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT). We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art compression methods, like SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of comp…

Computational complexity theorybusiness.industryWavelet transformBasis functionIterative reconstructionSet partitioning in hierarchical treesComputer visionArtificial intelligencebusinessQuantization (image processing)AlgorithmData compressionImage compressionMathematics2007 IEEE International Conference on Image Processing
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Modelling the Effects of Internal Textures on Symmetry Detection Using Fuzzy Operators

2009

Symmetry is a crucial dimension which aids the visual system, human as well as artificial, to organize its environment and to recognize forms and objects. In humans, detection of symmetry, especially bilateral and rotational, is considered to be a primary factor for discovering and interacting with the surrounding environment. Rotational symmetry detecting can be affected by less-known factors, such as the stimulus internal texture. This paper explores how fuzzy operators can be usefully employed in modeling the effects of the internal texture on symmetry detection. To this aim, we selected two symmetry detection algorithms, based on different computational models, and compared their output…

Computational modelVisual perceptionSettore INF/01 - InformaticaComputer sciencebusiness.industryRotational symmetryFuzzy operatorsPattern recognitionFuzzy logicMemetic algorithmComputer visionArtificial intelligencebusinessvisual perception symmetry fuzzy logic
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A Battery-Free Smart Sensor Powered with RF Energy

2018

The development of Internet of Things (IoT) infrastructure and applications is stimulating advanced and innovative ideas and solutions, some of which are pushing the limits of state-of-the-art technology. The increasing demand for Wireless Sensor Network (WSN) that must be capable of collecting and sharing data wirelessly while often positioned in places hard to reach and service, motivates engineers to look for innovative energy harvesting and wireless power transfer solutions to implement battery-free sensor nodes. Due to the pervasiveness of RF (Radio Frequency) energy, RF harvesting that can reach out-of-sight places could be a key technology to wirelessly power IoT sensor devices, whic…

Computer Networks and CommunicationsComputer scienceInternet of ThingsEnergy Engineering and Power TechnologyRadio Frequency HarvestingIndustrial and Manufacturing EngineeringArtificial IntelligenceWireless Battery ChargerWirelessRenewable EnergyWireless power transferInstrumentationSustainability and the Environmentbusiness.industryRF power amplifierTransmitterElectrical engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionInternet of Things; Litium Ion Battery; Radio Frequency Harvesting; Wireless Battery Charger; Wireless Power Transfer; Wireless Sensor Networks; Artificial Intelligence; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Energy Engineering and Power Technology; Renewable Energy Sustainability and the Environment; Industrial and Manufacturing Engineering; InstrumentationSensor nodeLitium Ion BatteryWireless Power TransferRadio frequencyInternet of ThingWireless Sensor NetworksbusinessEnergy harvestingWireless sensor network2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Improved resource allocation strategy in SU-CoMP network

2011

Coordinated multi-point transmission and reception (CoMP) for single user, named as SU-CoMP, is considered as an efficient approach to mitigate inter-cell interference in orthogonal frequency division multiple access (OFDMA) systems. Two prevalent approaches in SU-CoMP are coordinated scheduling (CS) and joint processing (JP). Although JP in SU-CoMP has been proved to achieve a great link performance improvement for the cell-edge user, efficient resource allocation (RA) on the system level is quite needed. However, so far limited work has been done considering JP, and most existing schemes achieved the improvement of cell-edge performance at cost of the cell-average performance degradation …

Computer Networks and CommunicationsComputer sciencebusiness.industryDistributed computingOrthogonal frequency-division multiple accessScheduling (computing)TelecomunicacióSignal ProcessingSystem levelPerformance improvementTelecommunicationsbusinessComunicació i tecnologiaInformation Systems
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Everyday Appropriations of Information Technology: A Study of Creative Uses of Digital Cameras

2011

Repurposive appropriation is a creative everyday act in which a user invents a novel use for information technology (IT) and adopts it. This study is the first to address its prevalence and predictability in the consumer IT context. In all, 2,379 respondents filled in an online questionnaire on creative uses of digital cameras, such as using them as scanners, periscopes, and storage media. The data reveal that such creative uses are adopted by about half of the users, on average, across different demographic backgrounds. Discovery of a creative use on one's own is slightly more common than is learning it from others. Most users discover the creative uses either completely on their own or wh…

Computer Networks and CommunicationsComputer sciencemedia_common.quotation_subjectContext (language use)Computer-assisted web interviewingWorld Wide WebAppropriationdigital camerasArtificial Intelligenceta518ta515media_commonta113ta112ta213Orientation (computer vision)business.industryInformation technologycreative useVariance (accounting)appropriationCreativityHuman-Computer Interactionta5141businessSoftwareInformation SystemsJournal of the American Society for Information Science and Technology
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Gray visiting Motzkins

2002

We present the first Gray code for Motzkin words and their generalizations: k colored Motzkin words and Schroder words. The construction of these Gray codes is based on the observation that a k colored Motzkin word is the shuffle of a Dyck word by a k-ary variation on a trajectory which is a combination. In the final part of the paper we give some algorithmic considerations and other possible applications of the techniques introduced here.

Computer Networks and CommunicationsGeneralizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCombinatoricsGray codeColoredAlgorithmicsMotzkin numberCode (cryptography)ArithmeticGray (horse)SoftwareWord (group theory)Information SystemsMathematicsActa Informatica
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Resource allocation for clustered network MIMO OFDMA systems

2012

In this article, we address the resource allocation problem for the downlink of a large network multiple input multiple output orthogonal frequency division multiplexing system with 3-sector base stations. The system is statically divided into a number of disjoint clusters of sectors. A two-step resource allocation scheme is proposed involving the inter-cluster and the intra-cluster levels. As a first step or inter-cluster level, two cooperative frequency reuse approaches are designed to mitigate the inter-cluster interference. A user partition method is proposed to divide the users of each cluster into cluster-edge and cluster-center users. To balance the cell-edge and the cell-average per…

Computer Networks and CommunicationsOrthogonal frequency-division multiplexingComputer scienceDistributed computingMIMOresource allocation02 engineering and technologyFrequency reuseScheduling (computing)TelecomunicacióOFDMABase stationinterference coordination0203 mechanical engineeringTelecommunications link0202 electrical engineering electronic engineering information engineeringComunicació i tecnologiafrequency reusebusiness.industrynetwork MIMO020206 networking & telecommunications020302 automobile design & engineeringComputer Science ApplicationsSignal ProcessingTelecommunicationsResource allocationbusinessComputer network
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