Search results for "scenes"

showing 10 items of 13 documents

Spatio-temporal saliency detection in dynamic scenes using color and texture features

2014

Visual saliency is an important research topic in the field of computer vision due to its numerouspossible applications. It helps to focus on regions of interest instead of processingthe whole image or video data. Detecting visual saliency in still images has been widelyaddressed in literature with several formulations. However, visual saliency detection invideos has attracted little attention, and is a more challenging task due to additional temporalinformation. Indeed, a video contains strong spatio-temporal correlation betweenthe regions of consecutive frames, and, furthermore, motion of foreground objects dramaticallychanges the importance of the objects in a scene. The main objective o…

Color featureComplex dynamic scenesSpatio-temporal saliencyDynamic texturesFusionPerformance evalutationModèles d'attention visuelle[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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POLARIZATION-BASED CAR DETECTION

2018

International audience; Road scene understanding is a vital task for driving assistance systems. Robust vehicle detection is a precondition for diverse applications particularly for obstacle avoidance and secure navigation. Color images provide limited information about the physical properties of the object. This results in unstable vehicle detection caused mainly from road scene complexity (strong reflexions, noises and radiometric distortions). Instead, polarimetric images, characteristic of the light wave, can robustly describe important physical properties of the object (e.g., the surface geometric structure, material and roughness etc). This modality gives rich physical informations wh…

Computer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFeature selection02 engineering and technologySurface finish01 natural sciencesroad scenes010309 optics[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]feature selectionRobustness (computer science)0103 physical sciencesObstacle avoidance0202 electrical engineering electronic engineering information engineeringComputer visionpolarizationColor imagebusiness.industryDetector[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Polarization (waves)Car detection020201 artificial intelligence & image processingArtificial intelligencebusinessDPM
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3D image acquisition system based on shape from focus technique

2013

agent Agrosup Dijon de l'UMREcolDurGEAPSI; This paper describes the design of a 3D image acquisition system dedicated to natural complex scenes composed of randomly distributed objects with spatial discontinuities. In agronomic sciences, the 3D acquisition of natural scene is difficult due to the complex nature of the scenes. Our system is based on the Shape from Focus technique initially used in the microscopic domain. We propose to adapt this technique to the macroscopic domain and we detail the system as well as the image processing used to perform such technique. The Shape from Focus technique is a monocular and passive 3D acquisition method that resolves the occlusion problem affecting…

Engineering[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[SDV]Life Sciences [q-bio]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONscenesImage processingagronomic scenes[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyClassification of discontinuitieslcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryDomain (software engineering)shape from focusDepth map0202 electrical engineering electronic engineering information engineeringagronomiclcsh:TP1-1185Computer vision3D image acquisition system;shape from focus;focus measure;agronomic;scenesDepth of fieldElectrical and Electronic EngineeringInstrumentationComputingMethodologies_COMPUTERGRAPHICS3D image acquisition systemfocus measureMonocular[ SDV ] Life Sciences [q-bio]business.industry3D image acquisition system; shape from focus; focus measure; agronomic scenesScene statisticsDistributed object021001 nanoscience & nanotechnologyAtomic and Molecular Physics and Optics020201 artificial intelligence & image processingArtificial intelligence0210 nano-technologybusiness
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Improved multi-resolution image fusion

2005

This work describes an automatic technique able to fuse different images of the same scene, acquired at different settings, in order to obtain an enhanced single representation of the scene of interest by an improved picture fusion scheme. This allows the extending of the functionalities (depth of field, dynamic range) of medium and low cost digital cameras. When multi-scale decomposition is used on multi-focused images, magnification effects of the lens focusing system cause an incorrect estimation of all pixels in the final image. In our approach new techniques able to reduce these artifacts are introduced. The algorithm has been applied both on full RGB and on color filter array (CFA) im…

Image fusionPixelbusiness.industryComputer scienceimage scenes differenceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSensor fusionlaw.inventionLens (optics)lawComputer Science::Computer Vision and Pattern RecognitionRGB color modelColor filter arrayComputer visionDepth of fieldArtificial intelligencebusinessImage resolution2005 Digest of Technical Papers. International Conference on Consumer Electronics, 2005. ICCE.
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A Geometric Approach to Automatic Description of Iconic Scenes

2005

It is proposed a step towards the automatic description of scenes with a geometric approach. The scenes considered are composed by a set of elements that can be geometric forms or iconic representation of objects. Every icon is characterized by a set of attributes like shape, colour, position, orientation. Each scene is related to a set of sentences describing its content. The proposed approach builds a data driven vector semantic space where the scenes and the sentences are mapped. Sentences and scene with the same meaning are mapped in near vectors and distance criteria allow retrieving semantic relations.

Latent semantic analysisComputer sciencebusiness.industryOrientation (computer vision)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScene statisticsiconic scenes semantic relationshipSemanticsSet (abstract data type)Position (vector)Computer visionArtificial intelligenceRepresentation (mathematics)businessSentenceComputingMethodologies_COMPUTERGRAPHICS
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Language for International Communication: Linking Interdisciplinary Perspectives (2nd international symposium)

2014

This collection contains papers delivered at the 2nd international symposium "Language for International Communication: Linking Interdisciplinary Perspectives" held at the University of Latvia, Latvia, on 23-24 May 2013.

Linguistics gaffesScenes and FramesMots empruntés au latin et au grecInternet communicationLSP dictionaryDeutsch als FremdspracheEnglish for Specific PurposesSpeech actWenglishInformation structureMultimodalityLexiquePerformabilityPragmaticsProfessionally-oriented EnglishCode-switchTextoNombre propioCommunicative competenceUnidad fraseológicaLiterarischer TextDidactique du FLEELEMental modelAnglicism:HUMANITIES and RELIGION::Languages and linguistics [Research Subject Categories]MetaphorPolitesseMultilinguismeCollocationAuthentic materialsLanguage competence
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On Spatio-Temporal Saliency Detection in Videos using Multilinear PCA

2016

International audience; Visual saliency is an attention mechanism which helps to focus on regions of interest instead of processing the whole image or video data. Detecting salient objects in still images has been widely addressed in literature with several formulations and methods. However, visual saliency detection in videos has attracted little attention, although motion information is an important aspect of visual perception. A common approach for obtaining a spatio-temporal saliency map is to combine a static saliency map and a dynamic saliency map. In this paper, we extend a recent saliency detection approach based on principal component analysis (PCA) which have shwon good results wh…

Multilinear mapVisual perceptiondynamic scenesComputer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]050105 experimental psychologyImage (mathematics)visual saliencympca[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Salience (neuroscience)0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesComputer visionSaliency mapbusiness.industry05 social sciences[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitionVisualizationKadir–Brady saliency detectorPrincipal component analysis020201 artificial intelligence & image processingArtificial intelligencebusinessFocus (optics)
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Scene giudiziarie nelle tragedie e nelle commedie latine del XII e XIII secolo. Il «De Affra et Flavio», il «De Paulino et Polla» di Riccardo da Veno…

2021

La commedia elegiaca e la tragedia latina del XII e XIII secolo mostrano una larga e varia ricchezza di caratteristiche, temi, soggetti e tipologie letterarie: uso del distico elegiaco, "imitatio" ovidiana, preponderanza della tematica amorosa, compresenza di narrazione e dialogo, e così via. Un elemento caratterizzante di alcune di queste commedie e tragedie medievali è rappresentato dalle scene giudiziarie. In questo saggio, dopo una breve introduzione sul genere letterario, viene svolta una puntuale analisi delle scene di giudizio che ricorrono in tre testi latini del XII e XIII secolo, una tragedia (l’anonimo «De Affra et Flavio»), una commedia elegiaca (il «De Paulino et Polla» di Ricc…

Scenes of Trial by JuryLatin Elegiac Comedytragedia latina medievaleSettore L-FIL-LET/08 - Letteratura Latina Medievale E UmanisticaDe Affra et FlavioMedieval Latin TragedyCommedia elegiaca latina De Affra et FlavioDe Paulino et Pollascene giudiziarieArabs (Versus de dimidio amico).
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L’intermezzo, Napoli e l’Europa

2018

The essay is an attempt to summarize the most up-to-date knowledge related to the history of the comic intermezzo. Some crucial examples of the Neapolitan scenic tradition are analyzed in order to highlight the progressive emancipation of comic scenes. An examination of the main dramatic and musical characteristics of the genre follows. The last part of the article concerns the European circulation of the Italian creations, with special attention to the famous "querelle des bouffons", which broke out in the mid-eighteenth century Paris following the performance of Giovambattista Pergolesi's "La serva padrona".

Settore L-ART/07 - Musicologia E Storia Della MusicaPergolesi Italian opera comic scenes Rousseau querelle des bouffons
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3D ACQUISITION SYSTEM APPLIED TO AGRONOMIC SCENES

2012

International audience; To improve results in automatic wheat ear counting by proxy-detection for early yield prediction, we need depth information of the scene. In this paper, we describe our 3D acquisition system dedicated to reconstruction of agronomic scenes. This system is composed of a camera mounted on a linear displacement driven by a microcontroller. The linear displacement allows acquiring a set of images in different distances to the scene. This image stack is used to apply shape from focus technique which is a passive and monocular 3D reconstruction method. This technique consists in the application of a focus measure for every pixel in the stack. An approximation method is used…

[SDE] Environmental Sciences[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SDV]Life Sciences [q-bio][SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONagronomic scenes[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingcrop analysis[SDV] Life Sciences [q-bio][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/Agronomyacquisition system[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology3D reconstruction[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingComputingMethodologies_COMPUTERGRAPHICS
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