Digital photographs and visual data have become increasingly available, especially on the
Web considered as the largest image database to date. However, the value of multimedia …

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 …

This study aims at automating the process of topical keyword organization of set of
documents in an input text corpus. It is conducted in the context of a larger project to …

Real world datasets often consist of data expressed through multiple modalities. Clustering
such datasets is in most cases a challenging task as the involved modalities are often …

In this paper we introduce a novel pseudo-relevance feedback (RF) perspective to social
image search results diversification. Traditional RF techniques introduce the user in the …

Information technology boosts the development of database retrieval in the Chinese digital
humanities domain. However, most database providers adopt a system-oriented design …

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 …

Pedestrian attribute recognition aims to accurately locate and extract high-level semantic
attributes of pedestrians, and provide important support for pedestrian re-identification. The …

Visual re-ranking has received considerable attention in recent years. It aims to enhance the
performance of text-based image retrieval by boosting the rank of relevant images using …

Image search reranking is emerging as an effective technique to refine the text-based image
search results using visual information. In this paper, we introduce a novel hypergraph …