We continued to test our image classification methodology in the photo-annotation task of the ImageCLEF competition [Nowak et al., 2011] using a visual-only approach performing automated labeling however with little algorithmic improvement as compared to last year. Our labeling process consisted of three phases: 1) feature extraction using color and structural description; 2) classification usi...

This paper presents the participation of INRIA IMEDIA group and the Pl@ntNet project to ImageCLEF 2011 plant identification task. ImageCLEF’s plant identification task provides a testbed for the system-oriented evaluation of tree species identification based on leaf images. The aim is to investigate image retrieval approaches in the context of crowdsourced images of leaves collected in a collab...

In this survey, we argue that using structured vocabularies is capital to the success of image annotation. We analyze literature on image annotation uses and user needs, and we stress the need for automatic annotation. We briefly expose the difficulties posed to machines for this task and how it relates to controlled vocabularies. We survey contributions in the field showing how structures are ...

In this paper we present a new method for fully automatic left ventricle segmentation from 4D cardiac MR datasets. To deal with the diverse dataset, we propose a fully automatic machine learning approach using two layers of spatio-temporal decision forests with almost no assumptions on the data or segmentation problem. We introduce 3D spatio-temporal features to classi cation with decision fore...

The number of biomedical publications has increased noticeably in the last 30 years. Clinicians and medical researchers regularly have unmet information needs but require more time for searching than is usually available to find publications relevant to a clinical situation. The techniques described in this article are used to classify images from the biomedical open access literature into cate...

Scientists have rapidly taken advantage of adaptive optics (AO) technology for the study of the human visual system. Vision, the primary human sense, begins with light entering the eye and the formation of an image on the retina (Fig 1), where light is transformed into electro-chemical impulses that travel towards the brain. The eye provides the only direct view of the central nervous system an...

The eighth edition of the ImageCLEF medical retrieval task was organized in 2011. A subset of the open access collection of PubMed Central was used as the database in 2011. This database contains 231,000 images and is substantially larger than previously used collections. Additionally, there was a larger fraction of non–clinical images such as graphs and charts. As in 2010, we had three subtask...

The Yule-Nielsen modified spectral Neugebauer model (YNSN) enables predicting reflectance spectra from ink surface coverages of halftones. In order to provide an improved prediction accuracy, this model is enhanced with an ink spreading model accounting for ink spreading in all superposition conditions (IS-YNSN). As any other spectral reflection prediction model, the IS-YNSN model is conceived ...

0020-0255/$ see front matter 2011 Elsevier Inc doi:10.1016/j.ins.2011.06.025 ⇑ Corresponding author. E-mail addresses: [email protected] (G. Cioc (R. Schettini). 1 The authors contributed equally to this work. We present here, an image description approach based on prosemantic features. These features are obtained through a two-level feature extraction process. A first level of features, r...

Arbitrary shape object detection, which is mostly related to computer vision and image processing, deals with detecting objects from an image. In this paper, we consider the problem of detecting arbitrary shape objects as a clustering application by decomposing images into representative data points, and then performing clustering on these points. Our method for arbitrary shape object detection...