Search results for "LABOR"

showing 10 items of 3876 documents

Browser independent content based image resizing for liquid web layouts

2010

A typical problem for webdesigners is to realize pages that can be potentially accessed from a number of display devices with different screen sizes and resolutions. Liquid layouts can help for this purpose. However, they can not typically be applied to images, which need to be rescaled or deformed. In both cases usability could be deteriorated. Content-aware image resizing techniques can help for this goal by rescaling the images to the desired width while preserving important image structures. This paper presents a content-aware resizing technique which can be seamlessly integrated into web pages without any effort from the user. The results from the system application prove its effective…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputerApplications_COMPUTERSINOTHERSYSTEMSUsabilityImage (mathematics)Display devicecontent-aware image resizing retargeting liquid web layouts servlet visual saliency webdesignComputer graphics (images)Content (measure theory)RetargetingWeb pageResizingbusinessVisual saliency
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Composition of SIFT features for robust image representation

2010

In this paper we propose a novel feature based on SIFT (Scale Invariant Feature Transform) algorithm1 for the robust representation of local visual contents. SIFT features have raised much interest for their power of description of visual content characterizing punctual information against variation of luminance and change of viewpoint and they are very useful to capture local information. For a single image hundreds of keypoints are found and they are particularly suitable for tasks dealing with image registration or image matching. In this work we stretched the spatial coverage of descriptors creating a novel feature as composition of keypoints present in an image region while maintaining…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationScale-invariant feature transformartificial intelligenceLuminanceimage annotationImage (mathematics)bag of wordsFeature (computer vision)SIFTvisual termsComputer visionArtificial intelligenceAffine transformationbusinessRepresentation (mathematics)semanticsImage representationFeature detection (computer vision)
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A Data Association Algorithm for People Re-Identification in Photo Sequences

2010

In this paper, a new system is presented to support the user in the face annotation task. Every time a photo sequence becomes available, the system analyses it to detect and cluster faces in set corresponding to the same person. We propose to model the problem of people re-identification in photos as a data association problem. In this way, the system takes advantage from the assumption that each person can appear at most once in each photo. We propose a fully automated method for grouping facial images, the method does not require any initialization neither a priori knowledge of the number of persons that are in the photo sequence. We compare the results obtained with our method and with s…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryFeature extractionInitializationPattern recognitionSensor fusionFacial recognition systemSet (abstract data type)Face (geometry)Photo Album Management Data Association Re- Identification Image databasesA priori and a posterioriArtificial intelligenceCluster analysisbusiness
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Real-time estimation of geometrical transformation between views in distributed smart-cameras systems

2008

In this paper, we present a method to automatically estimate the geometric relations among the different views of cameras with partially overlapping fields of view in a wireless video-surveillance system. The method uses the locations of the detected moving objects visible at the same time in two or more views. The correspondences among objects are found by comparing their appearance models based on dominant colour descriptors while the geometric transformation are computed iteratively and may be used to solve the consistent labelling problem. As a significant part of the processing is performed on the smart cameras, the method has been conceived by taking into account the limited resources…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryGeometric transformationMotion detectiondistributed video surveillanceObject detectionData modelingTransformation (function)Computer visionSmart cameraArtificial intelligenceImage sensorbusinessHomography (computer vision)2008 Second ACM/IEEE International Conference on Distributed Smart Cameras
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A possible approach to the development of robotic multi-agent systems

2004

The design of a an agent system for robotics is a problem that involves aspects coming from many different disciplines (robotics, artificial intelligence, computer vision, software engineering). The most difficult part of it, often consists in producing and tuning the algorithms that incorporates the robot behavior (planning, obstacle avoidance,. . . ) and abilities (vision, manipulation, navigation,. . . ). Frequently, the reuse of these parts is left to a copy and paste procedure from previous applications to the new one. In so doing many problems could arise. We propose a comprehensive approach for multi-agent systems oriented to robotics applications that uses a complete design methodol…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryMulti-agent systemAgent Oriented Software engineeringMobile robotRoboticsAgentsRoboticsReuseMulti-Agent SystemsHuman–computer interactionArtificial IntelligenceObstacle avoidanceRobotComputer visionArtificial intelligencePatternsBehavior-based roboticsbusinessDesign methods
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Using Temporal Texture for Content-Based Video Retrieval

2000

Textures evolving over time are called temporal textures and are very common in everyday life. Examples are the smoke flowing or the wavy water of a river. The idea explored in this paper is that image features based on temporal texture could allow a better performance of current content-based video retrieval systems that are mainly based on static characteristics of representative frames, like color and texture. To this aim we analyze the spatio-temporal nature of texture and its application in content-based access to video databases. In particular, we represent temporal texture using the spatio-temporal autoregressive (STAR) model and a variation of self-organizing maps (SOM) where each n…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryNode (networking)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVariation (game tree)Star (graph theory)CBIR texture analysisTexture (geology)Language and LinguisticsComputer Science ApplicationsHuman-Computer InteractionAutoregressive modelImage textureComputer visionQuery by ExampleArtificial intelligencebusinessRepresentation (mathematics)computerComputingMethodologies_COMPUTERGRAPHICScomputer.programming_languageJournal of Visual Languages & Computing
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Multidirectional Scratch Detection and Restoration in Digitized Old Images

2010

Line scratches are common defects in old archived videos, but similar imperfections may occur in printed images, in most cases by reason of improper handling or inaccurate preservation of the support. Once an image is digitized, its defects become part of that image. Many state-of-the-art papers deal with long, thin, vertical lines in old movie frames, by exploiting both spatial and temporal information. In this paper we aim to face with a more challenging and general problem: the analysis of line scratches in still images, regardless of their orientation, color, and shape. We present a detection/restoration method to process this defect.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryOrientation (computer vision)lcsh:ElectronicsProcess (computing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlcsh:TK7800-8360Image processingImage processing Scratch detectionImage restorationScratchFace (geometry)Signal ProcessingPattern recognition (psychology)Line (geometry)Computer visionArtificial intelligenceElectrical and Electronic EngineeringbusinesscomputerImage restorationInformation Systemscomputer.programming_languageImage restoration; Image processing Scratch detectionEURASIP Journal on Image and Video Processing
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Unsupervised Clustering in Personal Photo Collections

2008

In this paper we propose a probabilistic approach for the automatic organization of collected pictures aiming at more effective representation in personal photo albums. Images are analyzed and described in two representation spaces, namely, faces and background. Faces are automatically detected, rectified and represented projecting the face itself in a common low dimensional eigenspace. Backgrounds are represented with low-level visual features based on RGB histogram and Gabor filter energy. Face and background information of each image in the collection is automatically organized by mean-shift clustering technique. Given the particular domain of personal photo libraries, where most of the …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryProbabilistic logicComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionpersonal photo albumImage (mathematics)Gabor filterCBIR image analysis image clusteringFace (geometry)HistogramRGB color modelComputer visionArtificial intelligenceRepresentation (mathematics)businessCluster analysisImage retrievalmean-shift clusteringPhoto collection
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A knowledge based architecture for the virtual restoration of ancient photos

2017

Abstract Historical images are essential documents of the recent past. Nevertheless, time and bad preservation corrupt their physical supports. Digitization can be the solution to extend their “lives”, and digital techniques can be used to recover lost information. This task is often difficult and time-consuming, if commercial restoration tools are used for the purpose. A new solution is proposed to help non-expert users in restoring their damaged photos. First, we defined a dual taxonomy for the defects in printed and digitized photos. We represented our restoration domain with an ontology and we created some rules to suggest actions to perform in case of some specific events. Classes and …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryProcess (engineering)Interface (Java)020206 networking & telecommunications02 engineering and technologyOntology (information science)Task (project management)Domain (software engineering)World Wide WebImage restoration Historical photos Digitization Ontology Knowledge baseKnowledge baseArtificial IntelligenceSignal Processing0202 electrical engineering electronic engineering information engineeringWeb application020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionbusinessImage restoration Historical photos Digitization Ontology Knowledge baseSoftwareDigitizationPattern Recognition
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Automatic aesthetic photo composition

2013

A proper aesthetic composition of photographic content does result in an actual emotional response from the watcher. In this work we propose a fully automatic computational approach to photo composi- tion. This method takes into account well-known and widely adopted aesthetic guidelines relative to picture content as a mean for guiding an optimization framework. The resulting composition is produced as the optimal combination of cropping and retargeting. The effectiveness of the results achieved by the method are tested and evaluated with several of experiments.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryRetargetingFully automaticphoto composition retargeting visual saliencyOptimal combinationComputer visionArtificial intelligencebusinessCroppingComposition (language)Visual saliency
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