Deformation-aware Log-Linear Models (2009)
Gass, Tobias, Deselaers, Thomas, Ney, Hermann
In this paper, we present a novel deformation-aware discriminative model for handwritten digit recognition. Unlike previous approaches our model directly considers image deformations and allows...
Log-Linear Mixtures for Object Recognition (2009)
Weyand, Tobias, Deselaers, Thomas, Ney, Hermann
We present log-linear mixture models as a fully discriminative approach to object category recognition which can, analogously to kernelised models, represent non-linear decision boundaries. It is...
Jointly Optimising Relevance and Diversity in Image Retrieval (2009)
Deselaers, Thomas, Gass, Tobias, Dreuw, Philippe, Ney, Hermann
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems often mainly find a set...
Jens Forster, Thomas Deselaers, Hermann Ney
We propose several tracking adaptation approaches to recover from early tracking errors in sign language recognition by optimizing the obtained tracking paths w.r.t. to the hypothesized word...
Arne Mauser, Ilja Bezrukov, Thomas Deselaers, Daniel Keysers
Abstract: In this work we describe combinations of classifiers using Naive Bayes,
Pan, Zoom, Scan – Time-coherent, Trained Automatic Video Cropping (2009)
We present a method to fully automatically fit videos in 16:9 format on 4:3 screens and vice versa. It can be applied to arbitrary aspect ratios and can be used to make videos suitable for mobile...
Problems with Running a Successful Multimedia Retrieval Benchmark ∗ (2009)
Henning Müller, Thomas Deselaers, Michael Grubinger, Paul Clough, Allan Hanbury, William Hersh
Content-based image retrieval (CBIR) and multimedia retrieval are at the point where they are ready to leave the pure research status and become integrated into commercial prototypes and products....
The Visual Concept Detection Task in (2009)
Thomas Deselaers, Allan Hanbury
The Visual Concept Detection Task (VCDT) of ImageCLEF 2008 is described. A database of 2,827 images were manually annotated with 17 concepts. Of these, 1,827 were used for training and 1,000 for...
Overview of the ImageCLEF 2007 Medical Retrieval and Annotation Tasks (2008)
Henning Müller, Thomas Deselaers, Eugene Kim, Thomas M. Deserno, William Hersh
This paper describes the medical image retrieval and medical image annotation tasks of ImageCLEF 2007. Separate sections describe each of the two tasks, with the participation and an evaluation of...
Deselaers: Discriminative Training for Object Recognition 1 Idea (2008)
Thomas Deselaers, Daniel Keysers, Hermann Ney
object recognition in cluttered scenes: question:What objects are contained in an image? several approaches known, active field of research promising approach:
Shared-Memory Parallelization for Content-based Image Retrieval (2008)
Christian Terboven, Thomas Deselaers, Christian Bischof, Hermann Ney
Abstract. In this paper we show how modern shared-memory parallelization techniques can gain nearly linear speedup in content-based image retrieval. Using OpenMP, few changes are applied to the...
Categories and Subject Descriptors (2008)
Thomas Deselaers, Tobias Wey, Hermann Ney
I feel smaller than 10 words but should be 250 words.
Features for Image Retrieval (2008)
Prof Dr. -ing, H. Ney, Thomas Deselaers, ...
Hiermit versichere ich, dass ich die vorliegende Diplomarbeit selbständig verfasst und keine anderen als die angegebenen Hilfsmittel verwendet habe. Alle Textauszüge und Grafiken, die sinngemäß...
Abstract Features for Image Retrieval: An Experimental Comparison (2008)
Thomas Deselaers, Daniel Keysers, Hermann Ney
An experimental comparison of a large number of different image descriptors for content-based image retrieval is presented. Many of the papers describing new techniques and descriptors for...
Thomas Deselaers, Tobias Gass, Tobias Wey, Hermann Ney
We present the methods we applied in the four different tasks of the ImageCLEF 2007 content-based image retrieval evaluation. We participated in all four tasks using a variety of methods. Global and...
ABSTRACT Evaluation Axes for Medical Image Retrieval Systems — The ImageCLEF Experience (2008)
Henning Müller, Paul Clough, William Hersh, Thomas Deselaers, Thomas Lehmann, Antoine Geissbuhler
Content–based image retrieval in the medical domain is an extremely hot topic in medical imaging as it promises to help better managing the large amount of medical images being produced....
Arne Mauser, Ilja Bezrukov, Thomas Deselaers, Daniel Keysers
Abstract: In this work we describe combinations of classifiers using Naive Bayes,
Overview of the ImageCLEF 2007 Object Retrieval Task (2008)
Deselaers, Thomas, Hanbury, Allan, Viitaniemi, Ville, Farquhar, Jason D.R., Brendel, Mátyás, Daróczy, Bálint, ...
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...
Image retrieval, object recognition, and discriminative models (2008)
In this thesis, we present approaches to image retrieval, object recognition, and discriminative models. For image retrieval, we evaluate a large variety of different descriptors and answer the...
Overview of the ImageCLEF 2007 Object Retrieval Task (2007)
Deselaers, Thomas, Hanbury, Allan, Viitaniemi, Ville, Benczur, Andras, Brendel, Matyas, Daroczy, Balint, ...
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...
Deformation models for image recognition (2007)
Daniel Keysers, Thomas Deselaers, Student Member, Christian Gollan, Hermann Ney
c○2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for...
Speech recognition techniques for a sign language recognition system (2007)
David Rybach, Thomas Deselaers, Morteza Zahedi, Hermann Ney
One of the most significant differences between automatic sign language recognition (ASLR) and automatic speech recognition (ASR) is due to the computer vision problems, whereas the corresponding...
Reducing Time and RAM Requirements in Content-Based Image Retrieval using Retrieval Filtering (2007)
Jens Forster, Thomas Deselaers
Abstract: In this paper we present and evaluate how computationally cheap comparison measures can be applied in content-based image retrieval applications to reduce the time- and memory requirements....
Overview of the ImageCLEF 2007 object retrieval task (2007)
Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András Benczúr, Mátyás Brendel, Bálint Daróczy, ...
Abstract. 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...
The 2005 PASCAL Visual Object Classes Challenge (2006)
Everingham, Mark, Zisserman, Andrew, Williams, Christopher, Van Gool, Luc, Allan, Moray, Bishop, Chris, ...
The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not...
Optimal Geometric Matching for Patch-Based Object Detection (2006)
Keysers, Daniel, Deselaers, Thomas, Breuel, Thomas M.
We present an efficient method to determine the optimal matching of two patch-based image object representations under rotation, scaling, and translation (RST). This use of patches is equivalent to a...
The 2005 pascal visual object classes challenge (2006)
Mark Everingham, Andrew Zisserman, Luc Van Gool, Moray Allan, Christopher M. Bishop, ...
Abstract. The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes...
Daniel Keysers, Thomas Deselaers, Thomas M. Breuel
We present an efficient method to determine the optimal matching of two patch-based image object representations under rotation, scaling, and translation (RST). This use of patches is equivalent to a...
Sparse patch-histograms for object classification in cluttered images (2006)
Thomas Deselaers, Andre Hegerath, Daniel Keysers, Hermann Ney
Abstract. We present a novel model for object recognition and detection that follows the widely adopted assumption that objects in images can be represented as a set of loosely coupled parts. In...
W.: Overview of the imageclefmed 2006 medical retrieval and medical annotation tasks (2006)
Henning Müller, Thomas Deselaers, Thomas Deserno, Paul Clough, Eugene Kim, William Hersh
Abstract. This paper describes the medical image retrieval and annotation tasks of ImageCLEF 2006. Both tasks are described with respect to goals, databases, topics, results, and techniques. The...
W.: Overview of the imageclefmed 2006 medical retrieval and medical annotation tasks (2006)
Henning Müller, Thomas Deselaers, Thomas Lehmann, Paul Clough
This paper will describe the medial image annotation and medical image retrieval tasks of ImageCLEF 2006. For the first time these tasks will be described in a separate paper to reduce the size of...
The 2005 pascal visual object classes challenge (2006)
Mark Everingham, Andrew Zisserman, Luc Van Gool, Moray Allan, Christopher M. Bishop, ...
Abstract. The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes...
W.: Overview of the imageclefmed 2006 medical retrieval and medical annotation tasks (2006)
Henning Müller, Thomas Deselaers, Thomas Lehmann, Paul Clough
This paper describes the medial image retrieval and the medical annotation tasks of ImageCLEF 2006. These tasks are described in a separate paper from the other task to reduce the size of the...
Overview of the ImageCLEFmed 2006 medical retrieval and annotation tasks (2006)
Henning Müller, Thomas Deselaers, Thomas Deserno, Eugene Kim, William Hersh
Abstract. This paper describes the medical image retrieval and annotation tasks of ImageCLEF 2006. Both tasks are described with respect to goals, databases, topics, results, and techniques. The...
The 2005 pascal visual object classes challenge (2006)
Mark Everingham, Andrew Zisserman, Luc Van Gool, Moray Allan, Christopher M. Bishop, ...
Abstract. The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes...
Patch-based object recognition using discriminatively trained gaussian mixtures (2006)
Andre Hegerath, Thomas Deselaers, Hermann Ney
We present an approach using Gaussian mixture models for part-based object recognition where spatial relationships of the parts are explicitly modeled and parameters of the generative model are tuned...
Overview of the ImageCLEFmed 2006 medical retrieval and annotation tasks (2006)
Henning Müller, Thomas Deselaers, Thomas Deserno, Eugene Kim, William Hersh
Abstract. This paper describes the medical image retrieval and annotation tasks of ImageCLEF 2006. Both tasks are described with respect to goals, databases, topics, results, and techniques. The...
H.: Overview of the ImageCLEF 2006 photographic retrieval and object annotation tasks (2006)
Paul Clough, Michael Grubinger, Thomas Deselaers, Allan Hanbury, Henning Müller
This paper describes the general photographic retrieval and object annotation tasks of the ImageCLEF 2006 evaluation campaign. These tasks provide both the resources and the framework necessary to...
H.: Overview of the ImageCLEF 2006 photographic retrieval and object annotation tasks (2006)
Paul Clough, Michael Grubinger, Thomas Deselaers, Allan Hanbury, Henning Müller
Abstract. This paper describes the general photographic retrieval and object annotation tasks of the ImageCLEF 2006 evaluation campaign. These tasks provided both the resources and the framework...
Thomas Deselaers, Tobias Wey, Daniel Keysers, Wolfgang Macherey, Hermann Ney
In this paper we describe the methods we used in the 2005 ImageCLEF content-based image retrieval evaluation. For the medical retrieval task, we combined several low-level image features with textual...
Gesture Recognition Using Image Comparison Methods (2005)
Daniel Keysers, Thomas Deselaers, Hermann Ney
Abstract. We introduce the use of appearance-based features, and tangent distance or the image distortion model to account for image variability within the hidden Markov model emission probabilities...
Morteza Zahedi, Daniel Keysers, Thomas Deselaers, Hermann Ney
Abstract. In this paper, we employ a zero-order local deformation model to model the visual variability of video streams of American sign language (ASL) words. We discuss two possible ways of...
The CLEF 2005 Cross-Language Image Retrieval Track (2005)
Paul Clough, Henning Müeller, Thomas Deselaers, Michael Grubinger, Thomas Lehmann, Jeffrey Jensen, ...
Abstract. The purpose of this paper is to outline efforts from the 2005 CLEF crosslanguage image retrieval campaign (ImageCLEF). The aim of this CLEF track is to explore the use of both text and...
The CLEF 2005 Cross-Language Image Retrieval Track (2005)
Paul Clough, Henning Müller, Thomas Deselaers, Michael Grubinger, Thomas M. Lehmann, Jeffery Jensen, ...
Abstract. This paper outlines efforts from the 2005 CLEF cross–language image retrieval campaign (ImageCLEF). Aim of the CLEF track is to explore the use of both text and content–based retrieval...
The CLEF 2005 Cross-Language Image Retrieval Track (2005)
Paul Clough, Henning Müeller, Thomas Deselaers, Michael Grubinger, Thomas Lehmann, Jeffery Jensen, ...
Abstract. The purpose of this paper is to outline efforts from the 2005 CLEF crosslanguage image retrieval campaign (ImageCLEF). The aim of this CLEF track is to explore the use of both text and...
Improving a discriminative approach to object recognition using image patches (2005)
Thomas Deselaers, Daniel Keysers, Hermann Ney
Abstract. In this paper we extend a method that uses image patch histograms and discriminative training to recognize objects in cluttered scenes. The method generalizes and performs well for...
T.M: The CLEF 2005 automatic medical image annotation task. CLEF (2005)
Thomas Deselaers, Henning Müller, Paul Clough, Hermann Ney, Thomas M. Lehmann
In this paper, the automatic annotation task from the 2005 CLEF cross-language image retrieval campaign (ImageCLEF) is described. This paper focuses on the database used, the task setup, and the...
Thomas Deselaers, Daniel Keysers, Hermann Ney
object recognition in cluttered scenes: question:What objects are contained in an image? several approaches known, active field of research promising approach:
Thomas Deselaers, Daniel Keysers, Hermann Ney
A major problem in the field of content-based image retrieval is the lack of a common performance measure which allows the researcher to compare different image retrieval systems in a quantitative...
Pixel-to-Pixel Matching for Image Recognition using Hungarian Graph Matching (2004)
Daniel Keysers, Thomas Deselaers, Hermann Ney
Abstract. A fundamental problem in image recognition is to evaluate the similarity of two images. This can be done by searching for the best pixel-to-pixel matching taking into account suitable...
Features for Image Retrieval – A Quantitative Comparison (2004)
Thomas Deselaers, Daniel Keysers, Hermann Ney
Abstract. In this paper, different well-known features for image retrieval are quantitatively compared and their correlation is analyzed. We compare the features for two different image retrieval...
Classification Error Rate for Quantitative Evaluation of Content-Based Image Retrieval (2004)
Thomas Deselaers, Daniel Keysers, Hermann Ney
A major problem in the field of content-based image retrieval is the lack of a common performance measure which allows the researcher to compare different image retrieval systems in a quantitative...
FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation (2004)
Thomas Deselaers, Daniel Keysers, Hermann Ney
In this paper we present FIRE, a content-based image retrieval system and the methods we used in the ImageCLEF 2004 evaluation. In FIRE, different features are available to represent images. This...
Similarity of medical images computed from global feature vectors for content-based retrieval (2004)
Thomas M. Lehmann, Mark O. Güld, Daniel Keysers, Thomas Deselaers, Henning Schubert, Berthold Wein, ...
Abstract. Global features describe the image content by a small number of numerical values, which are usually combined into a vector of less than 1,024 components. Since color is not present in most...
Similarity of medical images computed from global feature vectors for content-based retrieval (2004)
Thomas M. Lehmann, Mark O. Güld, Daniel Keysers, Thomas Deselaers, Henning Schubert, Berthold Wein, ...
Abstract. Global features describe the image content by a small number of numerical values, which are usually combined into a vector of less than 1,024 components. Since color is not present in most...
Local Representations for Multi-Object Recognition (2003)
Thomas Deselaers, Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney
Methods for the recognition of multiple objects in images using local representations are introduced. Starting from a straight forward approach, we combine the use of local representations with...
Training and recognition of complex scenes using a holistic statistical model (2003)
Daniel Keysers, Michael Motter, Thomas Deselaers, Hermann Ney
Abstract. We present a holistic statistical model for the automatic analysis of complex scenes. Here, holistic refers to an integrated approach that does not take local decisions about segmentation...
Clustering visually similar images to improve image search engines (2003)
Thomas Deselaers, Daniel Keysers, Hermann Ney, Supervisor Prof
GI subjects: image understanding (1.0.4), machine learning (1.1.3) At the moment Google image search is probably the only widely known way to search the world wide web for images. Google’s search...
Aus: Hormone and Metabolic Research. Vol. 13. 1981, No. 11 zus. mit H. K. Kley and H. Peerenboom ; Journal of Clinical Endocrinology and Metabolism. Vol. 51. 1980, No. 5, S. 1128 - 1132 zus. mit...