Search results for "Software engineering"

showing 10 items of 1151 documents

Following the WCAG 2.0 techniques: Experiences from designing a WCAG 2.0 checking tool

2012

Published version of a chapter in the book: Computers Helping People with Special Needs. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-31522-0_63 This paper presents a conceptual analysis of how the Web Content Accessibility Guidelines (WCAG) 2.0 and its accompanying documents can be used as a basis for the implementation of an automatic checking tool and the definition of a web accessibility metric. There are two major issues that need to be resolved to derive valid and reliable conclusions from the output of individual tests. First, the relationship of Sufficient Techniques and Common Failures has to be taken into account. Second, the logical combination of the…

World Wide WebWeb standardsmedicine.medical_specialtyVDP::Mathematics and natural science: 400::Information and communication science: 420::System development and system design: 426business.industryComputer scienceLogical combinationmedicineMetric (unit)Software engineeringbusinessWeb modelingWeb accessibility
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Progressive Web Apps: The Possible Web-native Unifier for Mobile Development

2017

World Wide Webbusiness.industryComputer science0202 electrical engineering electronic engineering information engineeringWeb application020206 networking & telecommunications020207 software engineeringMobile development02 engineering and technologybusinessProceedings of the 13th International Conference on Web Information Systems and Technologies
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An annotated CASE bibliography

1990

World Wide Webbusiness.industryComputer scienceBibliographyGeneral MedicineSoftware engineeringbusinessACM SIGSOFT Software Engineering Notes
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Writer identification for historical handwritten documents using a single feature extraction method

2020

International audience; With the growth of artificial intelligence techniques the problem of writer identification from historical documents has gained increased interest. It consists on knowing the identity of writers of these documents. This paper introduces our baseline system for writer identification, tested on a large dataset of latin historical manuscripts used in the ICDAR 2019 competition. The proposed system yielded the best results using Scale Invariant Feature Transform (SIFT) as a single feature extraction method, without any preprocessing stage. The system was compared against four teams who participated in the competition with different feature extraction methods: SRS-LBP, SI…

Writer identificationComputer sciencebusiness.industryFeature extractionhistorical documentsScale-invariant feature transform020207 software engineeringPattern recognition02 engineering and technologyartificial intelligenceConvolutional neural networkSupport vector machineIdentification (information)sift descriptors0202 electrical engineering electronic engineering information engineeringIdentity (object-oriented programming)Unsupervised learning020201 artificial intelligence & image processing[INFO]Computer Science [cs]Artificial intelligencebusiness
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Toward a virtual reconstruction of an antique three-dimensional marble puzzle

2017

International audience; Abstract | Introduction | Related Work | Acquisition Setup, Proposed Prototype: Calibration and Visibility | Preprocessing of Scanned Three-Dimensional Fragment Data | Processing of Scanned Three-Dimensional Surface Data: Matching | Conclusion and Future Works | Appendices | Acknowledgments | ReferencesAbstract. The reconstruction of broken objects is an important field of research for many applications, such as art restoration, surgery, forensics, and solving puzzles. In archaeology, the reconstruction of broken artifacts is a very time-consuming task due to the handling of fractured objects, which are generally fragile. However, it can now be supported by three-dim…

[ INFO ] Computer Science [cs]Computer scienceAntique[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technology[SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/SurgeryField (computer science)Task (project management)Domain (software engineering)Data acquisitionComputer graphics (images)Clouds[ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingVirtual reconstruction0202 electrical engineering electronic engineering information engineering[INFO.INFO-IM]Computer Science [cs]/Medical ImagingComputer visionScanning[INFO]Computer Science [cs][ SDV.IB ] Life Sciences [q-bio]/BioengineeringComputing systems[ SDV.MHEP.CHI ] Life Sciences [q-bio]/Human health and pathology/SurgeryElectrical and Electronic EngineeringScanners[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Image segmentation[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryLasers020207 software engineeringImage segmentation3D modelingCamerasAtomic and Molecular Physics and OpticsComputer Science Applications[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Calibration020201 artificial intelligence & image processingSurgery[SDV.IB]Life Sciences [q-bio]/BioengineeringArtificial intelligencebusinessAlgorithms
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A Review on Applications of Big Data for Disaster Management

2017

International audience; The term " disaster management " comprises both natural and man-made disasters. Highly pervaded with various types of sensors, our environment generates large amounts of data. Thus, big data applications in the field of disaster management should adopt a modular view, going from a component to nation scale. Current research trends mainly aim at integrating component, building, neighborhood and city levels, neglecting the region level for managing disasters. Current research on big data mainly address smart buildings and smart grids, notably in the following areas: energy waste management, prediction and planning of power generation needs, improved comfort, usability …

[ INFO ] Computer Science [cs]Computer scienceBig data02 engineering and technology[INFO] Computer Science [cs]7. Clean energydisasters12. Responsible consumptionbig data020204 information systemsComponent (UML)11. Sustainability0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Building automationEmergency managementbusiness.industry020207 software engineeringUsabilityEnergy consumptionDisaster managementsensor dataSystematic reviewSmart gridRisk analysis (engineering)13. Climate actionbusiness
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Management and interaction with multimodal information content

2010

[Chbeir, Richard] Univ Bourgogne, CNRS, LE2I, Dept Comp Sci, F-21000 Dijon, France. [Coninx, Karin] Univ Hasselt, Expertise Ctr Digital Media EDM, BE-3590 Diepenbeek, Belgium. [Ferri, Fernando; Grifoni, Patrizia] CNR, Inst Res Populat & Social Policies, Rome, Italy.

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]Operations research[INFO.INFO-WB] Computer Science [cs]/WebComputer Networks and CommunicationsComputer science[ INFO.INFO-WB ] Computer Science [cs]/WebLibrary science[SCCO.COMP]Cognitive science/Computer science02 engineering and technologyDigital media[SCCO.COMP] Cognitive science/Computer science0202 electrical engineering electronic engineering information engineeringMedia Technology[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]ComputingMilieux_MISCELLANEOUS[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry05 social sciences[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]020207 software engineering[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Hardware and Architecture[ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]0509 other social sciences050904 information & library sciencesbusinessSoftware
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Integrating user preference to similarity queries over medical images datasets

2010

International audience; Large amounts of images from medical exams are being stored in databases, so developing retrieval techniques is an important research problem. Retrieval based on the image visual content is usually better than using textual descriptions, as they seldom gives every nuances that the user may be interested in. Content-based image retrieval employs the similarity among images for retrieval. However, similarity is evaluated using numeric methods, and they often orders the images by similarity in a way rather distinct from the user's intention. In this paper, we propose a technique to allow expressing the user's preference over attributes associated to the images, so simil…

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-WB] Computer Science [cs]/WebComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer scienceComputed tomography02 engineering and technologyContent-based image retrievalSemanticsImage (mathematics)Similarity (network science)[SCCO.COMP] Cognitive science/Computer science020204 information systems0202 electrical engineering electronic engineering information engineeringmedicine[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Image retrieval[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]Information retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]medicine.diagnostic_test[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]020207 software engineeringPreferenceImportant research[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
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Guest Editors' Introduction: Multimedia Metadata and Semantic Management

2009

This special issue assesses the current status and technologies and describes major challenges and proper solutions for effective multimedia production and management related to evolving Semantic Web strategies. The included articles, which cover different facets of the semantic management of multimedia and multimedia metadata from retrieval and processing to consumption and presentation, represent a step forward in research targeted at improving aspects of the semantic metadata life cycle.

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-WB] Computer Science [cs]/WebComputer science[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer science02 engineering and technologySemanticsWorld Wide Web[SCCO.COMP] Cognitive science/Computer scienceSemantic computing0202 electrical engineering electronic engineering information engineeringMedia Technology[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic Web StackSemantic WebImage retrieval[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]020207 software engineeringComputer Science ApplicationsMetadataSemantic grid[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Hardware and Architecture[ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Signal Processing020201 artificial intelligence & image processingThe Internet[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]businessSoftware
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Automatic Temporal Formatting of Multimedia Presentations Using Dynamic Petri Nets.

2009

An efficient authoring tool would provide support for automatic temporal formatting and modeling of multimedia presentations. Automatic temporal formatting is a process of converting the given presentation specifications into a required temporal format. This paper presents an algorithm that can convert a temporal layout into a dynamic petri net (DPN )w hich can represent iterative and interactive presentation components effectively. The prototype of the authoring tool extracts the temporal layout from any given SMIL file representation and uses the proposed algorithm to automatically convert it into a DPN. The DPN generated automatically at compile-time helps the run-time components in effe…

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-WB] Computer Science [cs]/WebComputer sciencemedia_common.quotation_subject[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer science02 engineering and technologycomputer.software_genreDisk formattingPresentation[SCCO.COMP] Cognitive science/Computer scienceFormal specificationSynchronization (computer science)0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Representation (mathematics)ComputingMilieux_MISCELLANEOUSmedia_common[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]MultimediaProgramming language[INFO.INFO-WB]Computer Science [cs]/WebProcess (computing)[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]020207 software engineeringPetri net[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][ SCCO.COMP ] Cognitive science/Computer science020201 artificial intelligence & image processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]computer
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