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Deep Feature Factorization For Content-Based Image Retrieval And Localization

Publications associées (40)

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Low complexity image recognition algorithm for handheld applications

Pierre-André Farine, Sara Grassi Pauletti, Pradyumna Ayyalasomayajula

We propose a low complexity image recognition algorithm based on Content Based Image Retrieval (CBIR) suitable for handheld applications. The target application is an Alternative and Augmentative Communication (AAC) device used in speech rehabilitation and ...

IEEE2011

3D Object Duplicate Detection for Video Retrieval

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

Content-based video retrieval has become a very active research area in the last decade due to the increasing number of video shared on social networks such as YouTube and Daily-Motion. While most of the content-based video retrieval approaches employ visu ...

2010

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

Tagging and Retrieving Images with Co-Occurrence Models: from Corel to Flickr

Daniel Gatica-Perez, Nikhil Garg

This paper presents two models for content-based automatic image annotation and retrieval in web image repositories, based on the co-occurrence of tags and visual features in the images. In particular, we show how additional measures can be taken to addres ...

Idiap2009

Co-occurrence Models for Image Annotation and Retrieval

Nikhil Garg

We present two models for content-based automatic image annotation and retrieval in web image repositories, based on the co-occurrence of tags and visual features in the images. In particular, we show how additional measures can be taken to address the noi ...

Idiap2009

Machine learning for information retrieval

David Grangier

In this thesis, we explore the use of machine learning techniques for information retrieval. More specifically, we focus on ad-hoc retrieval, which is concerned with searching large corpora to identify the documents relevant to user queries. This identific ...

EPFL2008

Machine Learning for Information Retrieval

David Grangier

École Polytechnique Fédérale de Lausanne2008

Machine Learning for Information Retrieval

David Grangier

IDIAP2008

Learning the structure of image collections with latent aspect models

Florent Monay Michaud

The approach to indexing an image collection depends on the type of data to organize. Satellite images are likely to be searched with latitude and longitude coordinates, medical images are often searched with an image example that serves as a visual query, ...

École Polytechnique Fédérale de Lausanne2007