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Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances

Publications associées (63)

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A Novel Image-based Tool to Reunite Children With Their Families After Disasters

Christos Marios Christoudias

Objectives Reuniting children with their families after a disaster poses unique challenges. The objective was to pilot test the ability of a novel image-based tool to assist a parent in identifying a picture of his or her children. Methods A previously dev ...

Wiley-Blackwell2012

Statistical Shape Descriptors for Ancient Maya Hieroglyphs Analysis

Edgar Roman Rangel

The preservation, analysis, and management of valuable and fragile historical and cultural materials with digital technologies is a field of multidisciplinary nature, and significant to the society at large. The benefits of using visual and multimedia anal ...

École Polytechnique Fédérale de Lausanne2012

An evaluation of e-learning in Healthcare

Nikolaos Maris

As new technologies enable a radical transformation of the learning process, new learning approaches and techniques appear, and the need for quality assurance of all learning assets emerges. Although, the existing e-learning standards have managed to cover ...

IGI Global2011

Adult Face Recognition in Score-Age-Quality Classification Space

Andrzej Drygajlo, Weifeng Li, Hui Qiu

Face verification in the simultaneous presence of age progression and changing face-image quality is an important problem that has not been widely addressed. In this paper, we study the problem by designing and evaluating a generalized Q-stack model, which ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2011

Learning from Images with Captions Using the Maximum Margin Set Algorithm

Barbara Caputo, Jie Luo, Vittorio Ferrari

A large amount of images with accompanying text captions are available on the Internet. These are valuable for training visual classifiers without any explicit manual intervention. In this paper, we present a general framework to address this problem. Unde ...

Idiap2011

DAISY: A Fast Descriptor for Dense Wide Baseline Stereo and Multiview Reconstruction

Engin Tola

Stereo reconstruction is a fundamental problem of computer vision. It has been studied for more than three decades and significant progress has been made in recent years as evidenced by the quality of the models now being produced. This is highly related w ...

EPFL2010

GUI-Aided NIR and Color Image Blending

Sabine Süsstrunk, Radhakrishna Achanta, Andrea Guidi

A near-infrared (NIR) image of a scene contains different information than the corresponding visible spectrum (RGB) image, due to physical phenomena related to scattering, absorption, and reflectance of the different radiation bands. It can be desirable to ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Dynamic and Scalable Large Scale Image Reconstruction

Pascal Fua, Christoph Strecha

Recent approaches to reconstructing city-sized areas from large image collections usually process them all at once and only produce disconnected descriptions of image subsets, which typically correspond to major landmarks. In contrast, we propose a framewo ...

2010

Image annotation on portable devices

Martin Vetterli, Luciano Sbaiz

A system for automated annotation of images and videos points a mobile device towards an object of interest, such as a building or landscape scenery, for the device to display an image of the scene with an annotation for the object. An annotation can inclu ...

2010

Learning and recovering 3D surface deformations

Mathieu Salzmann

Recovering the 3D deformations of a non-rigid surface from a single viewpoint has applications in many domains such as sports, entertainment, and medical imaging. Unfortunately, without any knowledge of the possible deformations that the object of interest ...

EPFL2009