Multimedia Information Retrieval based on Late Semantic Fusion Approaches: Experiments on a Wikipedia Image Collection

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Multimedia Information Retrieval based on Late Semantic Fusion Approaches: Experiments on a Wikipedia Image Collection
Authors
Xaro Benavent
Ana García-Serrano
Ruben Granados
Joan Benavent
Esther de Ves
Publication date
2013
DOI
10.1109/TMM.2013.2267726
Links
Original Preprint

Multimedia Information Retrieval based on Late Semantic Fusion Approaches: Experiments on a Wikipedia Image Collection - scientific work related to Wikipedia quality published in 2013, written by Xaro Benavent, Ana García-Serrano, Ruben Granados, Joan Benavent and Esther de Ves.

Overview

Main goal of this work is to show the improvement of using a textual pre-filtering combined with an image re-ranking in a Multimedia Information Retrieval task. The defined three step-based retrieval processes and a well-selected combination of visual and textual techniques help the developed Multimedia Information Retrieval System to overcome the semantic gap in a given query. In the paper, five different late semantic fusion approaches are discussed and experimented in a realistic scenario for multimedia retrieval like the one provided by the publicly available ImageCLEF Wikipedia Collection.