RESULTS FROM 1 TO 5 OF 5

2016, Articolo in rivista, ENG

An image enhancement tool: pattern recognition image augmented resolution

Righi M.; D'Acunto M.; Salvetti O.

PRIAR (Pattern Recognition Image Augmented Resolution) is an innovative approach to single-frame super-resolution that combines common single-frame super-resolution with pattern-recognition algorithms. PRIAR uses the information gained through pattern-recognition to enhance resolution for low quality images, and to allow the end user to explore, recognize and super-resolve low-resolution images. In this paper, we present the basic functionality of the PRIAR algorithm that we have implemented. The program is modular and each module is easily combined. In addition, such modularity permits us to work on images where single modules can be changed in order to resolve different classes of problems. In this paper, we firstly present the features of the PRIAR program processing images reproducing animal cells recorded with a scanning probe microscope.

Pattern recognition and image analysis 26 (3), pp. 518–523

DOI: 10.1134/S1054661816030160

2015, Rapporto tecnico, ENG

EAGLE image retrieval system

Bolettieri P.

This report describes the final implementation of the Image Retrieval System infrastructure developed for the EAGLE (Europeana network of Ancient Greek and Latin Epigraphy) project. The EAGLE project is gathering a comprehensive collection of inscriptions (about 80 % of the surviving material) and making it accessible through a user-friendly portal, which supports searching and browsing of the epigraphic material. In this document we will describe the Image Retrieval System and its API.

2004, Contributo in atti di convegno, ENG

Image classifiers for scene analysis

Le Saux B.; Amato G.

The semantic interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. We intend to design classifiers able to annotate images with keywords. Firstly, we propose an image representation appropriate for scene description: images are segmented into regions and indexed according to the presence of given region types. Secondly, we propound a classification scheme de- signed to separate images in the descriptor space. This is achieved by combining feature selection and kernel-method-based classification.

ICCVG 04 - International Conference on Computer Vision and Graphics, Warsaw, Poland, 1-12 September 2004

2004, Contributo in atti di convegno, ENG

Image recognition for digital libraries

Le Saux B.; Amato G.

The interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. To allow the search of image-based documents in digital libraries, we propose to design classifiers able to annotate images with keywords. First, we propose an image representation appropriate for scene description. Images are segmented into regions, and then indexed according to the presence of given region types. Second, we propound a classification scheme designed to separate images in the descriptor space. This is achieved by combining feature selection and kernel-method-based classification.

MIR '04 Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval, New York, USA, 10-16 October 2004

DOI: 10.1145/1026711.1026727

2004, Rapporto tecnico, ENG

Image Recognition for Digital Libraries

Le Saux B.; Amato G.

The interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. To allow the search of image-based documents in digital libraries, we propose to design classifiers able to annotate images with keywords. First, we propose an image representation appropriate for scene description. Images are segmented into regions, and then indexed according to the presence of given region types. Second, we propound a classification scheme designed to separate images in the descriptor space. This is achieved by combining feature selection and kernel-method-based classification.

InstituteSelected 0/2
    ISTI, Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo" (5)
    ISM, Istituto di struttura della materia (1)
AuthorSelected 0/5
    Amato Giuseppe (3)
    Bolettieri Paolo (1)
    D'acunto Mario (1)
    Righi Marco (1)
    Salvetti Ovidio (1)
TypeSelected 0/3
    Contributo in atti di convegno (2)
    Rapporto tecnico (2)
    Articolo in rivista (1)
Research programSelected 0/2
    ICT.P08.010.002, Digital Libraries (1)
    ICT.P10.012.001, Elaborazione di segnali e immagini per impieghi diagnostici e interpretazione di immagini multisorgente (1)
EU Funding ProgramSelected 0/1
    FP7 (1)
EU ProjectSelected 0/1
    EAGLE (1)
YearSelected 0/3
    2004 (3)
    2015 (1)
    2016 (1)
LanguageSelected 0/1
    Inglese (5)
Keyword

Scene analysis

RESULTS FROM 1 TO 5 OF 5