Linear SVM for new Pyramidal Multi-Level Visual only Concept Detection in CLEF 2010 Challenge
نویسندگان
چکیده
For the Visual Concept Detection of CLEF 2010 Challenge, using only visual information, we propose a novel multi-level spatial pyramidal (sp) features : the spELBP (Extended Local Binary Pattern). In this paper we first present these features and few others that are similar : the spELBOP (Extended Local Binary Orientation Pattern), and the spHOEE (Histogram of Oriented Edge Energy). Then we discuss why our features feed state-of-the-art linear SVM algorithms for the Detection of Concept. Our scores are ranked, over the 15 participating teams, 8 according to the F-mesure evaluation, and 9 according to the MAP evaluation. We compare each topic score to the best system, and we finaly discuss on further extension of our approach .
منابع مشابه
LEAR and XRCE's Participation to Visual Concept Detection Task - ImageCLEF 2010
In this paper we present the common effort of Lear and XRCE for the ImageCLEF Visual Concept Detection and Annotation Task. We first sought to combine our individual state-of-the-art approaches: the Fisher vector image representation, with the TagProp method for image auto-annotation. Our second motivation was to investigate the annotation performance by using extra information in the form of p...
متن کاملNew Strategies for Image Annotation: Overview of the Photo Annotation Task at ImageCLEF 2010
The ImageCLEF 2010 Photo Annotation Task poses the challenge of automated annotation of 93 visual concepts in Flickr photos. The participants were provided with a training set of 8,000 Flickr images including annotations, EXIF data and Flickr user tags. Testing was performed on 10,000 Flickr images, differentiated between approaches considering solely visual information, approaches relying on t...
متن کاملREGIMRobvid: Objects and Scenes Detection for Robot Vision 2013
This paper describes the participation of the REGIM team in the ImageCLEF 2013 Robot Vision Challenge. The competition was focused on the problem of objects and scenes classification in indoor environments. Objects and scenes are considered as concepts. During the competition, we aim to classify images according to the room in which they were acquired, using the information provided by the visu...
متن کاملProfil Entropic Visual Features for Visual Concept Detection in CLEF 2008 Campaign
In this task, we used only visual information to implement the VCDT task. We defined and compared two simple projection operators : the harmonic and arithmetic means. We proposed a new kind of compact features based on the entropy of pixels projection. These features, called Profil Entropy Features (PEF), were added to usual color means and variances, and then were fed to SVM classifiers for th...
متن کاملThe University of Amsterdam's Concept Detection System at ImageCLEF 2010
Our group within the University of Amsterdam participated in the large-scale visual concept detection task of ImageCLEF 2010. The submissions from our visual concept detection system have resulted in the best visual-only run in the per-concept evaluation. In the per-image evaluation , it achieves the highest score in terms of example-based F-measure across all types of runs.
متن کامل