Automatic image annotation (AIA), a highly popular topic in the field of information retrieval
research, has experienced significant progress within the last decade. Yet, the lack of a …

Late fusion of independent retrieval methods is the simpler approach and a widely used one
for combining visual and textual information for the search process. Usually each retrieval …

Spatial relations among objects and object parts play a fundamental role in the human
perception and understanding of images, thus becoming very relevant in the computational …

In this paper, we propose a direct image retrieval framework based on Markov Random
Fields (MRFs) that exploits the semantic context dependencies of the image. The novelty of …

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 …

This paper introduces an energy-based model (EBM) for region labeling that takes
advantage of both context and semantics present in segmented images. The proposed …

It has been proved that spatial relations among objects and object's parts play a
fundamental role in the human perception and understanding of images, thus becoming …

This article describes the application of particle swarm model selection (PSMS) to the
problem of automatic image annotation (AIA). PSMS can be considered a black-box tool for …

This paper describes the participation of the INAOE's research group on machine learning
for image processing and information retrieval from México. This year we proposed two …

Content-based image retrieval is one attractive research field in computer vision, but also
one facing critical problems. Approaches using the image as a whole and those focused on …