Carlos Arturo Hernández-Gracidas

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Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features , which fail to properly represent the actual contents of an image, and consequently poor results are achieved with the use of this sole information. Spatial relations represent a class of high-level image features which(More)
We describe the object retrieval task of ImageCLEF 2007, give an overview of the methods of the participating groups, and present and discuss the results. The task was based on the widely used PASCAL object recognition data to train object recognition methods and on the IAPR TC-12 benchmark dataset from which images of objects of the ten different classes(More)
In this paper we proposed the use of spatial relations as a way of improving annotation-based image retrieval. We analyzed different types of spatial relations and selected the most adequate ones for image retrieval. We developed an image comparison and retrieval method based on conceptual graphs, which incorporates spatial relations. Additionally, we(More)
Using as experimental platform an image retrieval method based on a spatio-conceptual representation of images, in this paper we investigate two main concerns on annotation-based image retrieval: label weighting and data fusion. On the one hand, we analyze the influence of different weighting schemes on the quality of the retrieval performance, and, on the(More)
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