Ruben Granados

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The main goal of this paper it is to present our experiments in ImageCLEF 2011 Campaign (Wikipedia retrieval task). This edition we focused on applying different strategies of merging multimodal information, textual and visual, following both early and late fusion approaches. Our best runs are in the top ten of the global list, at positions 8, 9 and 10 with(More)
This paper describes the participation of the MIRACLE team 1 at the ImageCLEF Photographic Retrieval task of CLEF 2008. We succeeded in submitting 41 runs. Obtained results from text-based retrieval are better than content-based as previous experiments in the MIRACLE team campaigns [5, 6] using different software. Our main aim was to experiment with several(More)
The main goal of this paper it is to present our experiments in ImageCLEF 2010 Campaign (Wikipedia retrieval task). This edition we present a different way of using textual and visual information based on the assumption that the textual module better captures the meaning of a topic. So that, the TBIR module works firstly and acts as a filter, and the CBIR(More)
The main goal of this paper it is to present our experiments in Im-ageCLEF 2009 Campaign (photo retrieval task). In 2008 we proved empirically that the Text-based Image Retrieval (TBIR) methods defeats the Content-based Image Retrieval CBIR " quality " of results, so this time we developed several experiments in which the CBIR helps the TBIR. The TBIR(More)
In this paper we present the first participation of the NLP&IR group at UNED in the Tagging Task (Professional Version): prediction of semantic theme. This categorization task was carried out by an information retrieval approach, together with language models and clustering using only metadata associated with the videos. The results show that language(More)
The UNED-UV group at the ImageCLEF2013 Campaign have participated in the Scalable Concept Image Annotation subtask. We present a mul-timedia IR-based system for the annotation task. In this collection, the images do not have any textual description associated, so we have downloaded and pre-processed the web pages which contain the images. Regarding the(More)
This paper describes the participation of the MIRACLE consortium at the ImageCLEF Photographic Retrieval task of ImageCLEF 2008. In this is new participation of the group, our first purpose is to evaluate our own tools for text-based retrieval and for content-based retrieval using different similarity metrics and the aggregation OWA operator to fuse the(More)
In this paper we present the second participation of the NLP&IR group at UNED in the MediaEval Genre Tagging Task. This categorization task was carried out applying an Information Retrieval (IR) approach considering the video collection's textual data and query expansion techniques. The results show that the combination of social tags and language models is(More)