Search results for "ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION"

showing 10 items of 982 documents

Color Correction for Image Stitching by Monotone Cubic Spline Interpolation

2015

This paper proposes a novel color correction scheme for image stitching where the color map transfer is modelled by a monotone Hermite cubic spline and smoothly propagated into the target image. A three-segments monotone cubic spline minimizing color distribution statistics and gradient differences with respect to both the source and target images is used. While the spline model can handle non-linear color maps, the minimization over the gradient differences limits strong alterations on the image structure. Adaptive heuristics are introduced to reduce the minimization search space and thus computational time. Experimental comparisons with respect to the state-of-the-art linear mapping model…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniImage stitchingDemosaicingSettore INF/01 - Informaticabusiness.industryColor correctionMathematicsofComputing_NUMERICALANALYSISComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMonotone cubic interpolationPhotometric blendingCubic Hermite splineSmoothing splineColor transferComputer visionArtificial intelligenceColor transfer image stitching photometric blendingbusinessSpline interpolationThin plate splineAlgorithmImage gradientComputingMethodologies_COMPUTERGRAPHICSMathematics
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Keyword Based Keyframe Extraction in Online Video Collections

2015

Keyframe extraction methods aim to find in a video sequence the most significant frames, according to specific criteria. In this paper we propose a new method to search, in a video database, for frames that are related to a given keyword, and to extract the best ones, according to a proposed quality factor. We first exploit a speech to text algorithm to extract automatic captions from all the video in a specific domain database. Then we select only those sequences (clips), whose captions include a given keyword, thus discarding a lot of information that is useless for our purposes. Each retrieved clip is then divided into shots, using a video segmentation method, that is based on the SURF d…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalbusiness.industryComputer sciencemedia_common.quotation_subjectShot (filmmaking)InformationSystems_INFORMATIONSTORAGEANDRETRIEVALFrame (networking)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionDomain (software engineering)Factor (programming language)Metric (mathematics)Quality (business)SegmentationArtificial intelligencebusinesscomputerSentencemedia_commoncomputer.programming_languageVideo Summarization Keyframe Extraction Automatic Speech Recognition YouTube Multimedia Collections
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Video Indexing Using MPEG Motion Compensation Vectors

2003

In the last years a lot of work has been done on color, textural, structural and semantic indexing of "content-based" video databases. Motion-based video indexing has been less explored, with approaches generally based on the analysis of optical flows. Compressed videos require the decompression of the sequences and the computation of optical flows, two steps computationally heavy. In this paper we propose some methods to index videos by motion features (mainly related to camera motion) and by motion-based spatial segmentation of frames, in a fully automatic way. Our idea is to use MPEG motion vectors as an alternative to optical flows. Their extraction is very simple and fast; it doesn't r…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMotion analysisMotion compensationComputer sciencebusiness.industrySearch engine indexingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage segmentationMotion vectorQuarter-pixel motionVideo indexing motion analysisMotion estimationComputer Science::MultimediaComputer visionArtificial intelligencebusinessBlock-matching algorithm
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Video indexing using optical flow field

2002

The increasing development of advanced multimedia applications requires new technologies for organizing and retrieving by content databases of digital video. Several content based features (color, texture, motion, etc.) are needed to perform a reliable content based retrieval. We present a method for automatic motion based video indexing and retrieval. A prototypal system has been developed to prove the validity of our approach. Our system automatically splits a video into a sequence of shots, extracts a few representative frames (said r-frames) from each shot and computes some motion based features related to the optical flow field. Motion based queries are then performed either in a quali…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMotion compensationbusiness.industryComputer scienceSearch engine indexingDigital videoFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowImage segmentationVideo processingElectronic mailVideo indexing motion analysisMotion estimationComputer visionArtificial intelligencebusinessBlock-matching algorithm
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Noise Filtering Using Edge-Driven Adaptive Anisotropic Diffusion

2008

This paper presents a method aimed to noise removal in MRI (Magnetic Resonance Imaging). We propose an improvement of Perona and Malik's anisotropic diffusion filter. In our schema, the diffusion equation of the filter has been modified to take into account the edges direction, This allows the filter to blur uniform areas, while it better preserves the edges. Both quantitative and qualitative evaluation is presented and the results are compared with other methods.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNoise Removal Magnetic Resonance Images Anisotropic Diffusion Brain MRIDiffusion equationNoise measurementComputer scienceAnisotropic diffusionWiener filterComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFilter (signal processing)Edge-preserving smoothingMagnetic fieldAdaptive filtersymbols.namesakeComputer Science::Computer Vision and Pattern RecognitionsymbolsAlgorithm2008 21st IEEE International Symposium on Computer-Based Medical Systems
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Pedestrian Tracking in 360 Video by Virtual PTZ Cameras

2018

Since the data acquired by a PTZ camera change while adjusting the pan, tilt and zoom parameters, the results of tracking algorithms are difficult to reproduce; such diffi- culty limits the development and the comparison of tracking algorithms with PTZ cameras. The recently introduced 360- degree cameras acquire spherical views of the environment, generally stored as equirectangular images. Each pixel of an equirectangular image corresponds to a point on the spherical surface. A gnomonic projection can be used to project the points on the spherical surface onto a plane tangent to the sphere. Such tangent plane can be interpreted as the image plane of a virtual PTZ camera oriented towards th…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPixelComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage planeTracking (particle physics)Gnomonic projectionAppearance models Dynamic memory Pedestrian tracking Spherical surface Tracking algorithm Tracking by detections Virtual cameraComputer Science::Computer Vision and Pattern RecognitionEquirectangular projectionComputer visionDevelopment (differential geometry)Artificial intelligenceZoombusinessTilt (camera)2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Restoration of Digitized Damaged Photos using Bit-Plane Slicing

2007

Digital image restoration aims to recover damaged zones of a digital image, using surrounding information. In this paper we propose a novel approach, based on bit-plane slicing decomposition, with the purpose to make information analysis and reconstruction process easy, fast and effective. Tests have been made on digitized damaged old photos to restore several classes of typical defects in old photographic prints.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPixelComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONProcess (computing)Image processingIterative reconstructionDigital imageImage restorationComputer graphics (images)Computer visionArtificial intelligenceBit plane slicingbusinessImage restorationBit-plane slicing Digital inpainting Image restoration
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Real-time content-aware image resizing using reduced linear model

2010

In this paper an effective and efficient method for contentaware image resizing is proposed. It is based on the solution of a linear system where each pixel displacement (compression or expansion) is determined in dependence of the visual relevance of the pixel itself. The linear nature of the model allows real-time application of the method even for large images. This fully automatic approach can be also improved by interactively providing cues such as geometric constraints and/or manual relevant object labeling. The results have proven that the presented method achieves results comparable or superior to existent strategies, while improving efficiency.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPixelImage resizing Image retargeting linear optimization visual saliencyPhysics::Instrumentation and Detectorsbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONLinear modelIterative reconstructionDisplacement (vector)Computer Science::GraphicsSeam carvingComputer Science::Computer Vision and Pattern RecognitionComputer Science::MultimediaComputer visionArtificial intelligencebusinessImage resolutionComputingMethodologies_COMPUTERGRAPHICS2010 IEEE International Conference on Image Processing
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Texture Synthesis for Digital Restoration in the Bit-Plane Representation

2007

In this paper we propose a new approach to handle the problem of restoration of grayscale textured images. The purpose is to recovery missing data of a damaged area. The key point is to decompose an image in its bit-planes, and to process bits rather than pixels. We propose two texture synthesis methods for restoration. The first one is a random generation process, based on the conditional probability of bits in the bit-planes. It is designed for images with stochastic textures. The second one is a best-matching method, running on each bit-plane, that is well suited to synthesize periodic patterns. Results are compared with a state-of-the-art restoration algorithm.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPixelbusiness.industryStochastic processComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFilmsHistoric preservationImage enhancementInternetRestorationTexturesGrayscaleImage textureComputer Science::Computer Vision and Pattern RecognitionComputer visionAlgorithm designArtificial intelligencebusinessImage restorationTexture synthesisMathematicsBit plane2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
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An Explorable Immersive Panorama

2012

The immersive panoramas are widely used to provide virtual tours of real scene. Their use covers a wide field of applications: art, industry, space research, topography, forensic investigation and all those systems requiring the exploration of a virtual environment which simulates a real one. Often sophisticated devices are used to perform the panorama acquisition. In this paper, we present an image based immersive panorama requiring low cost devices for the acquisition task and provides an innovative human-computer interaction approach. Many panoramic images of the same location are captured. The visualization system changes the panorama in a transparent way with respect to the user intera…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPoint (typography)Panoramabusiness.industryComputer sciencemedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingcomputer.software_genreVisualizationXJ3D Immersive Panorama Panoramic ImageSoftwareData visualizationVirtual machineComputer graphics (images)businessFunction (engineering)computerComputingMethodologies_COMPUTERGRAPHICSmedia_common
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