Search results for "Methodologie"

showing 10 items of 2141 documents

<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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A Novel Approach to Improve the Accuracy of Web Retrieval

2010

General purpose search engines utilize a very simple view on text documents: They consider them as bags of words. It results that after indexing, the semantics of documents is lost. In this paper, we introduce a novel approach to improve the accuracy of Web retrieval. We utilize the WordNet and WordNet SenseRelate All Words Software as main tools to preserve the semantics of the sentences of documents and user queries. Nouns and verbs in the WordNet are organized in the tree hierarchies. The word meanings are presented by numbers that reference to the nodes on the semantic tree. The meaning of each word in the sentence is calculated when the sentence is analyzed. The goal is to put each nou…

Information retrievalConcept searchComputer sciencebusiness.industryInformationSystems_INFORMATIONSTORAGEANDRETRIEVALSearch engine indexingWord processingWordNetcomputer.software_genreSemanticsComputingMethodologies_ARTIFICIALINTELLIGENCETree (data structure)NounComputingMethodologies_DOCUMENTANDTEXTPROCESSINGArtificial intelligencebusinesscomputerNatural language processingSentence2010 5th International Conference on Future Information Technology
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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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Comparing Translation and Post-editing: An Annotation Schema for Activity Units

2016

The current chapter introduces an annotation schema of TPR data that categorises post-editing behaviour into five different classes and compares general-language and domain-specific English-to-German translation and post-editing with respect to production times, key-logging (text production activity and text elimination activity) and eye-tracking data (total reading times on source text and on target text). The results support the hypothesis that post-editing is faster than translation from scratch for both domain-specific and non-domain-specific text types. When key-logging and eye-tracking data are taken into consideration, domain-specific texts require more effort when translating from s…

Information retrievalMachine translationComputer sciencemedia_common.quotation_subjectTranslation (geometry)computer.software_genreKeystroke loggingReading (process)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGEye trackingText typesProduction (computer science)Source textcomputermedia_common
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ViziQuer: A Tool to Explore and Query SPARQL Endpoints

2011

The presented tool uses a novel approach to explore and query a SPARQL endpoint. The tool is simple to use as a user needs only to enter an address of a SPARQL endpoint of one's interest. The tool will extract and visualize graphically the data schema of the endpoint. The user will be able to overview the data schema and use it to construct a SPARQL query according to the data schema. The tool can be downloaded from http://viziquer.lumii.lv. There is also additional information and help on how to use it in practice.

Information retrievalNamed graphComputer scienceComputingMethodologies_DOCUMENTANDTEXTPROCESSINGDatabase schemaInformationSystems_DATABASEMANAGEMENTSPARQLConstruct (python library)computer.file_formatOntology (information science)User needscomputerVisualization
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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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Learning high-level manipulative tasks through imitation

2006

This paper presents ConSCIS, Conceptual Space based Cognitive Imitation System, which tightly links low-level data processing with knowledge representation in the context of robot imitation. Our focus is on the program-level imitation: we are interested in the final effects of actions on objects, and not on the particular kinematic or dynamic properties of the motion. The same architecture is used both to analyze and represent the task to be imitated, and to perform the imitation by generalizing in novel and different circumstances. The implemented experimental scenario is a two dimensional world populated with various objects in which observation/imitation takes place. To validate our appr…

Information theoryKnowledge representation and reasoningComputer sciencebusiness.industrymedia_common.quotation_subjectImitation learningContext (language use)KinematicsWorkspaceMotion (physics)RoboticData processingKnowledge representationMachine learningRobotKnowledge based systemsArtificial intelligenceCognitive imitationImitationbusinessRobotsHumanoid robotmedia_commonComputingMethodologies_COMPUTERGRAPHICS
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Additional file 1 of Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced…

2020

Additional file 1: Supplementary Tables.

InformationSystems_INFORMATIONSTORAGEANDRETRIEVALComputingMethodologies_DOCUMENTANDTEXTPROCESSINGComputingMilieux_COMPUTERSANDEDUCATIONData_FILESComputerApplications_COMPUTERSINOTHERSYSTEMS
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Additional file 2 of PVAmpliconFinder: a workflow for the identification of human papillomaviruses from high-throughput amplicon sequencing

2020

Additional file 2: Supplementary Data 1. Info file description. Supplementary Data 2. Details of the workflow steps. Supplementary Data 3. Description of output files format. Supplementary Data 4. Sample collection, preparation, and sequencing

InformationSystems_INFORMATIONSTORAGEANDRETRIEVALData_FILESComputingMethodologies_DOCUMENTANDTEXTPROCESSINGComputingMilieux_COMPUTERSANDEDUCATIONComputerApplications_COMPUTERSINOTHERSYSTEMS
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