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

Related publications (42)

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Semantic Awareness for Automatic Image Interpretation

Albrecht Johannes Lindner

Finding relations between image semantics and image characteristics is a problem of long standing in computer vision and related fields. Despite persistent efforts and significant advances in the field, today’s computers are still strikingly unable to achi ...

EPFL2013

Comparative Study of Trust Modeling For Automatic Landmark Tagging

Touradj Ebrahimi, Ivan Ivanov, Péter Vajda

Many images uploaded to social networks are related to travel, since people consider traveling to be an important event in their life. However, a signiﬁcant amount of travel images on the Internet lack proper geographical annotations or tags. In many cases ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Iterative EEG-based Natural Image Search under RSVP

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Marija Uscumlic

This work extends previous studies on using EEG decoding for automatic image retrieval. We propose an iterative way to integrate the information obtained from the EEG decoding and image processing methods. In the light of real-world BCI applications, we de ...

Graz University of Technology Publishing House2013

Geotag Propagation with User Trust Modeling

Touradj Ebrahimi, Jong Seok Lee, Ivan Ivanov, Péter Vajda

The amount of information that people share on social networks is constantly increasing. People also comment, annotate, and tag their own content (videos, photos, notes, etc.), as well as the content of others. In many cases, the content is tagged manually ...

Springer-Verlag2013

Image-Based Localization Using the Plenoptic Function

Alireza Ghasemi

In this report we study the ways to exploit the vast amount of information inherent in the plenoptic space and constraints of the plenoptic function to improve the efficiency of image retrieval, recognition and matching techniques. The specific application ...

2012

Iterative Relevance Feedback with Adaptive Exploration/Exploitation Trade-off

François Fleuret, Nicolae Suditu

Content-based image retrieval systems have to cope with two different regimes: understanding broadly the categories of interest to the user, and refining the search in this or these categories to converge to specific images among them. Here, in contrast wi ...

2012

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

HEAT: Iterative Relevance Feedback with One Million Images

François Fleuret, Nicolae Suditu

It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hundreds of thousands or millions of images. We present a new approach dubbed Hi ...

2011

HEAT: Iterative Relevance Feedback with One Million Images

François Fleuret, Nicolae Suditu

Idiap2011

Object Duplicate Detection

Péter Vajda

With the technological evolution of digital acquisition and storage technologies, millions of images and video sequences are captured every day and shared in online services. One way of exploring this huge volume of images and videos is through searching a ...

EPFL2011