In this article, we present a novel framework that can produce a visual description of a tourist
attraction by choosing the most diverse pictures from community-contributed datasets, which …

In this paper, we present a novel method that can produce a visual description of a landmark
by choosing the most diverse pictures that best describe all the details of the queried …

User requirements for result diversification in image retrieval have been increasing with the
explosion of image resources. Result diversification requires that image retrieval systems …

This paper describes the participation of Organizer Team in the ImageCLEFlifelog 2017
Retrieval and Summarization subtasks. In this paper, we propose some baseline …

This article addresses the issue of social image search result diversification. We propose a
novel perspective for the diversification problem via Relevance Feedback (RF). Traditional …

The adequacy of user models depends mainly on the accuracy and precision of information
that is retrieved to the user. The real challenge in user modelling studies is due to the …

ABSTRACT The MediaEval 2014 Violent Scenes Detection task challenged participants to
automatically find violent scenes in a set of videos. We propose to first predict a set of …

In this paper we present the results achieved during the 2016 Media-Eval Retrieving Diverse
Social Images Task, using an approach based on pseudo-relevance feedback, in which …

Availability of affordable image and video capturing devices as well as rapid development of
social networking and content sharing websites has led to the creation of new type of …

In this paper we approach the 2014 MediaEval Retrieving Diverse Social Images Task from
the perspective of relevance feedback techniques. Two methods are introduced. A first …