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检索条件"任意字段=4th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2009"

共 108 条记录，以下是1-10 订阅

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pattern recognition and image analysis - 4th iberian conference, ibpria 2009, Proceedings

Pattern Recognition and Image Analysis - 4th Iberian Confere...

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4th iberian conference on pattern recognition and image analysis, ibpria 2009

ISBN: (纸本)3642021719

the proceedings contain 65 papers. the topics discussed include: inference and learning for active sensing, experimental design and control;large scale online learning of image similarity through ranking;inpainting ideas for image compression;smoothed disparity maps for continuous American sign language recognition;human action recognition using optical flow accumulated local histograms;trajectory modeling using mixtures of vector fields;high speed human detection using a multiresolution cascade of histograms of oriented gradients;face-to-face social activity detection using data collected with a wearable device;estimating vehicle velocity using image profiles on rectified images;kernel based multi-object tracking using gabor functions embedded in a region covariance matrix;and autonomous configuration of parameters in robotic digital cameras.

关键词： Optical flows

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11th iberian conference on pattern recognition and image analysis, ibpria 2023

11th Iberian Conference on Pattern Recognition and Image Ana...

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11th iberian conference on pattern recognition and image analysis, ibpria 2023

ISBN: (纸本)9783031366154

the proceedings contain 56 papers. the special focus in this conference is on pattern recognition and image analysis. the topics include: Clustering ECG Time Series for the Quantification of Physiological Reactions to Emotional Stimuli;detecting Loose Wheel Bolts of a Vehicle Using Accelerometers in the Chassis;study and Automatic Translation of Toki Pona;multi-view Infant Cry Classification;fishing Gear Classification from Vessel Trajectories and Velocity Profiles: Database and Benchmark;a Fuzzy Logic Inference System for Display Characterization;enhancing Transferability of Adversarial Audio in Speaker recognition Systems;Automated Orientation Detection of 3D Head Reconstructions from sMRI Using Multiview Orthographic Projections: An image Classification-Based Approach;microgliaJ: An Automatic Tool for Microglial Cell Detection and Segmentation;a Deep Approach for Volumetric Tractography Segmentation;synthetic Spermatozoa Video Sequences Generation Using Adversarial Imitation Learning;An Ensemble-Based Phenotype Classifier to Diagnose Crohn’s Disease from 16s rRNA Gene Sequences;Few-Shot image Classification for Automatic COVID-19 Diagnosis;deep Neural Networks to Distinguish Between Crohn’s Disease and Ulcerative Colitis;automatic Eye-Tracking-Assisted Chest Radiography Pathology Screening;Inter vs. Intra Domain Study of COVID Chest X-Ray Classification with Imbalanced Datasets;DARTS with Degeneracy Correction;object Detection for Rescue Operations by High-Altitude Infrared thermal Imaging Collected by Unmanned Aerial Vehicles;identifying thermokarst Lakes Using Discrete Wavelet Transform–Based Deep Learning Framework;real-Time Unsupervised Object Localization on the Edge for Airport Video Surveillance;object Localization with Multiplanar Fiducial Markers: Accurate Pose Estimation;hierarchical Line Extremity Segmentation U-Net for the SoccerNet 2022 Calibration Challenge - Pitch Localization;Py4MER: A CTC-Based Mathematical Expression recognition System;lightweig

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Interactive Structured Output Prediction: Application to Chromosome Classification

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Oncina, Jose Vidal, Enrique Univ Alicante Dept Lenguajes & Sistemas Informat Alicante Spain Univ Politecn Valencia Inst Informat Technol Valencia Spain

ISBN: (纸本)9783642212567;9783642212574

Interactive pattern recognition concepts and techniques are applied to problems with structured output;i.e., problems in which the result is not just a simple class label, but a suitable structure of labels. For illustration purposes (a simplification of) the problem of Human Karyotyping is considered. Results show that a) taking into account label dependencies in a karyogram significantly reduces the classical (non-interactive) chromosome label prediction error rate and b) they are further improved when interactive processing is adopted.

关键词： interactive pattern recognition machine learning structured output prediction chromosome classification karyotype recognition

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Null Space Based image recognition Using Incremental Eigendecomposition

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Diaz-Chito, Katerine Ferri, Francesc J. Diaz-Villanueva, Wladimiro Univ Valencia Dept Informat E-46003 Valencia Spain

ISBN: (纸本)9783642212567;9783642212574

An incremental approach to the discriminative common vector (DCV) method for image recognition is considered. Discriminative projections are tackled in the particular context in which new training data becomes available and learned subspaces may need continuous updating. Starting from incremental eigendecomposition of scatter matrices, an efficient updating rule based on projections and orthogonalization is given. the corresponding algorithm has been empirically assessed and compared to its batch counterpart. the same good properties and performance results of the original method are kept but with a dramatic decrease in the computation needed.

关键词： Incremental learning discriminative common vector sube-spaces discriminative projections

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Improving the Minimum Description Length Inference of Phrase-Based Translation Models 1

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7th iberian conference on pattern recognition and image analysis (ibpria)

作者： Gonzalez-Rubio, Jesus Casacuberta, Francisco Univ Politecn Valencia Pattern Recognit & Human Language Technol Ctr Valencia 46021 Spain

ISBN: (数字)9783319193908

ISBN: (纸本)9783319193908

We study the application of minimum description length (MDL) inference to estimate pattern recognition models for machine translation. MDL is a theoretically-sound approach whose empirical results are however below those of the state-of-the-art pipeline of training heuristics. We identify potential limitations of current MDL procedures and provide a practical approach to overcome them. Empirical results support the soundness of the proposed approach.

关键词： pattern recognition

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Music Score Binarization Based on Domain Knowledge

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Pinto, Telmo Rebelo, Ana Giraldi, Gilson Cardoso, Jaime S. Univ Porto INESC Porto Fac Engn Porto Portugal Natl Lab Sci Comp Petropolis Brazil

ISBN: (纸本)9783642212567;9783642212574

image binarization is a common operation in the preprocessing stage in most Optical Music recognition (OMR) systems. the choice of an appropriate binarization method for handwritten music scores is a difficult problem. Several works have already evaluated the performance of existing binarization processes in diverse applications. However, no goal-directed studies for music sheets documents were carried out. this paper presents a novel binarization method based in the content knowledge of the image. the method only needs the estimation of the staffline thickness and the vertical distance between two stafflines. this information is extracted directly from the gray level music score. the proposed binarization procedure is experimentally compared with several state of the art methods.

关键词： Computer Vision image Processing Optical Music recognition

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Leveraging Activity Indexing for Egocentric image Retrieval 8th

Leveraging Activity Indexing for Egocentric Image Retrieval

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8th iberian conference on pattern recognition and image analysis (ibpria)

作者： Oliveira-Barra, Gabriel Dimiccoli, Mariella Radeva, Petia Univ Barcelona Dept Math & Comp Sci Barcelona Spain Comp Vis Ctr Barcelona Spain

ISBN: (纸本)9783319588384;9783319588377

Wearable cameras can daily gather large amounts of image data that require powerful image indexing and retrieval techniques in order to find the information of interest. In this work, we address the indexing problem of egocentric data by exploring the relevance of different information sources provided by Convolutional Neural Networks (CNN) combined with image metadata. the proposed method was tested on a public egocentric dataset of 45.000 images and gave encouraging results.

关键词： image retrieval image indexing Egocentric vision First-person vision Activity recognition Convolutional neural networks

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Lossless Compression of Polar Iris image Data

Lossless Compression of Polar Iris Image Data

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Horvath, Kurt Stoegner, Herbert Uhl, Andreas Weinhandel, Georg School of CEIT Carinthian University of Applied Sciences Austria Department of Computer Sciences University of Salzburg Austria

ISBN: (纸本)9783642212567

the impact of using different lossless compression algorithms when compressing biometric iris sample data from several public iris databases is investigated. In particular, the application of dedicated lossless image codecs (lossless JPEG, JPEG-LS, PNG, and GIF), lossless variants of lossy codecs (JPEG2000, JPEG XR, and SPIHT), and a few general purpose file compression schemes is compared. We specifically focus on polar iris images (as a result after iris detection, iris extraction, and mapping to polar coordinates). the results are discussed in the light of the recent ISO/IEC FDIS 19794-6 standard and IREX recommendations.

关键词： ISO Standards

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Poker Vision: Playing Cards and Chips Identification Based on image Processing

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Martins, Paulo Reis, Luis Paulo Teofilo, Luis Univ Porto DEEC Elect Engn Dept Fac Engn Rua Dr Roberto Frias P-4200 Oporto Portugal Faculdade de Engenharia Univ Porto LIACC P-4200 Porto Alegre RS Brazil

ISBN: (纸本)9783642212567;9783642212574

this paper presents an approach to the identification of playing cards and counting of chips in a poker game environment, using an entry-level webcam and computer vision methodologies. Most of the previous works on playing cards identification rely on optimal camera position and controlled environment. the presented approach is intended to suit a real and uncontrolled environment along with its constraints. the recognition of playing cards lies on template matching, while the counting of chips is based on colour segmentation combined with the Hough Circles Transform. With the proposed approach it is possible to identify the cards and chips in the table correctly. the overall accuracy of the rank identification achieved is around 94%.

关键词： Poker playing cards identification image processing template matching colour segmentation chips counting

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Semi-supervised Probabilistic Relaxation for image Segmentation

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Martinez-Uso, Adolfo Pla, Filiberto Sotoca, Jose M. Anaya-Sanchez, Henry Univ Jaume 1 Inst New Imaging Technol Dept Comp Languages & Syst Castellon de La Plana 12071 Spain

ISBN: (纸本)9783642212567;9783642212574

In this paper, a semi-supervised approach based on probabilistic relaxation theory is presented. Focused on image segmentation, the presented technique combines two desirable properties;a very small number of labelled samples is needed and the assignment of labels is consistently performed according to our contextual information constraints. Our proposal has been tested on medical images from a dermatology application with quite promising preliminary results. Not only the unsupervised accuracies have been improved as expected but similar accuracies to other semi-supervised approach have been obtained using a considerably reduced number of labelled samples. Results have been also compared with other powerful and well-known unsupervised image segmentation techniques, improving significantly their results.

关键词： Semi-supervised image segmentation Probabilistic Relaxation

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