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Author | H. Emrah Tasli; Cevahir Çigla; Theo Gevers; A. Aydin Alatan | ||||
Title | Super pixel extraction via convexity induced boundary adaptation | Type | Conference Article | ||
Year | 2013 | Publication | 14th IEEE International Conference on Multimedia and Expo | Abbreviated Journal | |
Volume | Issue | Pages | 1-6 | ||
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Abstract | This study presents an efficient super-pixel extraction algorithm with major contributions to the state-of-the-art in terms of accuracy and computational complexity. Segmentation accuracy is improved through convexity constrained geodesic distance utilization; while computational efficiency is achieved by replacing complete region processing with boundary adaptation idea. Starting from the uniformly distributed rectangular equal-sized super-pixels, region boundaries are adapted to intensity edges iteratively by assigning boundary pixels to the most similar neighboring super-pixels. At each iteration, super-pixel regions are updated and hence progressively converging to compact pixel groups. Experimental results with state-of-the-art comparisons, validate the performance of the proposed technique in terms of both accuracy and speed. | ||||
Address | San Jose; USA; July 2013 | ||||
Corporate Author | Thesis | ||||
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ISSN | 1945-7871 | ISBN | Medium | ||
Area | Expedition | Conference | ICME | ||
Notes | ALTRES;ISE | Approved ![]() |
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Call Number | Admin @ si @ TÇG2013 | Serial | 2367 | ||
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Author | H. Emrah Tasli; Jan van Gemert; Theo Gevers | ||||
Title | Spot the differences: from a photograph burst to the single best picture | Type | Conference Article | ||
Year | 2013 | Publication | 21ST ACM International Conference on Multimedia | Abbreviated Journal | |
Volume | Issue | Pages | 729-732 | ||
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Abstract | With the rise of the digital camera, people nowadays typically take several near-identical photos of the same scene to maximize the chances of a good shot. This paper proposes a user-friendly tool for exploring a personal photo gallery for selecting or even creating the best shot of a scene between its multiple alternatives. This functionality is realized through a graphical user interface where the best viewpoint can be selected from a generated panorama of the scene. Once the viewpoint is selected, the user is able to go explore possible alternatives coming from the other images. Using this tool, one can explore a photo gallery efficiently. Moreover, additional compositions from other images are also possible. With such additional compositions, one can go from a burst of photographs to the single best one. Even funny compositions of images, where you can duplicate a person in the same image, are possible with our proposed tool. | ||||
Address | Barcelona | ||||
Corporate Author | Thesis | ||||
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Area | Expedition | Conference | ACM-MM | ||
Notes | ALTRES;ISE | Approved ![]() |
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Call Number | TGG2013 | Serial | 2368 | ||
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Author | Sezer Karaoglu; Jan van Gemert; Theo Gevers | ||||
Title | Con-text: text detection using background connectivity for fine-grained object classification | Type | Conference Article | ||
Year | 2013 | Publication | 21ST ACM International Conference on Multimedia | Abbreviated Journal | |
Volume | Issue | Pages | 757-760 | ||
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Area | Expedition | Conference | ACM-MM | ||
Notes | ALTRES;ISE | Approved ![]() |
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Call Number | Admin @ si @ KGG2013 | Serial | 2369 | ||
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Author | Eric Amiel | ||||
Title | Visualisation de vaisseaux sanguins | Type | Report | ||
Year | 2005 | Publication | Rapport de Stage | Abbreviated Journal | |
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Corporate Author | Université Paul Sabatier Toulouse III | Thesis | Bachelor's thesis | ||
Publisher | Université Paul Sabatier Toulouse III | Place of Publication | Toulouse | Editor | Enric Marti |
Language | French | Summary Language | French | Original Title | |
Series Editor | IUP Systèmes Intelligents | Series Title | Abbreviated Series Title | ||
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Notes | IAM | Approved ![]() |
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Call Number | IAM @ iam @ Ami2005 | Serial | 1690 | ||
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Author | Debora Gil; Agnes Borras; Manuel Ballester; Francesc Carreras; Ruth Aris; Manuel Vazquez; Enric Marti; Ferran Poveda | ||||
Title | MIOCARDIA: Integrating cardiac function and muscular architecture for a better diagnosis | Type | Conference Article | ||
Year | 2011 | Publication | 14th International Symposium on Applied Sciences in Biomedical and Communication Technologies | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | Deep understanding of myocardial structure of the heart would unravel crucial knowledge for clinical and medical procedures. The MIOCARDIA project is a multidisciplinary project in cooperation with l'Hospital de la Santa Creu i de Sant Pau, Clinica la Creu Blanca and Barcelona Supercomputing Center. The ultimate goal of this project is defining a computational model of the myocardium. The model takes into account the deep interrelation between the anatomy and the mechanics of the heart. The paper explains the workflow of the MIOCARDIA project. It also introduces a multiresolution reconstruction technique based on DT-MRI streamlining for simplified global myocardial model generation. Our reconstructions can restore the most complex myocardial structures and provides evidences of a global helical organization. | ||||
Address | Barcelona; Spain | ||||
Corporate Author | Association for Computing Machinery | Thesis | |||
Publisher | Place of Publication | Barcelona, Spain | Editor | Association for Computing Machinery | |
Language | english | Summary Language | english | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-1-4503-0913-4 | Medium | ||
Area | Expedition | Conference | ISABEL | ||
Notes | IAM | Approved ![]() |
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Call Number | IAM @ iam @ GGB2011 | Serial | 1691 | ||
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Author | Ivo Everts; Jan van Gemert; Theo Gevers | ||||
Title | Evaluation of Color STIPs for Human Action Recognition | Type | Conference Article | ||
Year | 2013 | Publication | IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 2850-2857 | ||
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Abstract | This paper is concerned with recognizing realistic human actions in videos based on spatio-temporal interest points (STIPs). Existing STIP-based action recognition approaches operate on intensity representations of the image data. Because of this, these approaches are sensitive to disturbing photometric phenomena such as highlights and shadows. Moreover, valuable information is neglected by discarding chromaticity from the photometric representation. These issues are addressed by Color STIPs. Color STIPs are multi-channel reformulations of existing intensity-based STIP detectors and descriptors, for which we consider a number of chromatic representations derived from the opponent color space. This enhanced modeling of appearance improves the quality of subsequent STIP detection and description. Color STIPs are shown to substantially outperform their intensity-based counterparts on the challenging UCF~sports, UCF11 and UCF50 action recognition benchmarks. Moreover, the results show that color STIPs are currently the single best low-level feature choice for STIP-based approaches to human action recognition. | ||||
Address | Portland; oregon; June 2013 | ||||
Corporate Author | Thesis | ||||
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Language | Summary Language | Original Title | |||
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Series Volume | Series Issue | Edition | |||
ISSN | 1063-6919 | ISBN | Medium | ||
Area | Expedition | Conference | CVPR | ||
Notes | ALTRES;ISE | Approved ![]() |
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Call Number | Admin @ si @ EGG2013 | Serial | 2364 | ||
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Author | Fares Alnajar; Theo Gevers; Roberto Valenti; Sennay Ghebreab | ||||
Title | Calibration-free Gaze Estimation using Human Gaze Patterns | Type | Conference Article | ||
Year | 2013 | Publication | 15th IEEE International Conference on Computer Vision | Abbreviated Journal | |
Volume | Issue | Pages | 137-144 | ||
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Abstract | We present a novel method to auto-calibrate gaze estimators based on gaze patterns obtained from other viewers. Our method is based on the observation that the gaze patterns of humans are indicative of where a new viewer will look at [12]. When a new viewer is looking at a stimulus, we first estimate a topology of gaze points (initial gaze points). Next, these points are transformed so that they match the gaze patterns of other humans to find the correct gaze points. In a flexible uncalibrated setup with a web camera and no chin rest, the proposed method was tested on ten subjects and ten images. The method estimates the gaze points after looking at a stimulus for a few seconds with an average accuracy of 4.3 im. Although the reported performance is lower than what could be achieved with dedicated hardware or calibrated setup, the proposed method still provides a sufficient accuracy to trace the viewer attention. This is promising considering the fact that auto-calibration is done in a flexible setup , without the use of a chin rest, and based only on a few seconds of gaze initialization data. To the best of our knowledge, this is the first work to use human gaze patterns in order to auto-calibrate gaze estimators. | ||||
Address | Sydney | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
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Area | Expedition | Conference | ICCV | ||
Notes | ALTRES;ISE | Approved ![]() |
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Call Number | Admin @ si @ AGV2013 | Serial | 2365 | ||
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Author | Hamdi Dibeklioglu; Albert Ali Salah; Theo Gevers | ||||
Title | Like Father, Like Son: Facial Expression Dynamics for Kinship Verification | Type | Conference Article | ||
Year | 2013 | Publication | 15th IEEE International Conference on Computer Vision | Abbreviated Journal | |
Volume | Issue | Pages | 1497-1504 | ||
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Abstract | Kinship verification from facial appearance is a difficult problem. This paper explores the possibility of employing facial expression dynamics in this problem. By using features that describe facial dynamics and spatio-temporal appearance over smile expressions, we show that it is possible to improve the state of the art in this problem, and verify that it is indeed possible to recognize kinship by resemblance of facial expressions. The proposed method is tested on different kin relationships. On the average, 72.89% verification accuracy is achieved on spontaneous smiles. | ||||
Address | Sydney | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ICCV | ||
Notes | ALTRES;ISE | Approved ![]() |
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Call Number | Admin @ si @ DSG2013 | Serial | 2366 | ||
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Author | Jorge Bernal | ||||
Title | Use of Projection and Back-projection Methods in Bidimensional Computed Tomography Image Reconstruction | Type | Report | ||
Year | 2009 | Publication | CVC Tecnical Report | Abbreviated Journal | |
Volume | 141 | Issue | Pages | ||
Keywords | Projection, Back-projection, CT scan, Euclidean geometry, Radon transform | ||||
Abstract | One of the biggest drawbacks related to the use of CT scanners is the cost (in memory and in time) associated. In this project many methods to simulate their functioning, but in a more feasible way (taking an industrial point of view), will be studied.
The main group of techniques that are being used are the one entitled as ’back-projection’. The concept behind is to simulate the X ray emission in CT scans by lines that cross with the image we want to reconstruct. In the first part of this document euclidean geometry is used to face the tasks of projec- tion and back-projection. After analysing the results achieved it has been proved that this approach does not lead to a fully perfect reconstruction (and also has some other problems related to running time and memory cost). Because of this in the second part of the document ’Filtered Back-projection’ method is introduced in order to improve the results. Filtered Back-projection methods rely on mathematical transforms (Fourier, Radon) in order to provide more accurate results that can be obtained in much less time. The main cause of this better results is the use of a filtering process before the back-projection in order to avoid high frequency-caused errors. As a result of this project two different implementations (one for each approach) had been implemented in order to compare their performance. |
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Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
Publisher | Place of Publication | Barcelona, Spain | Editor | ||
Language | Summary Language | Original Title | |||
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ISSN | ISBN | Medium | |||
Area | 800 | Expedition | Conference | ||
Notes | MV; | Approved ![]() |
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Call Number | IAM @ iam @ Ber2009 | Serial | 1693 | ||
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Author | Jasper Uilings; Koen E.A. van de Sande; Theo Gevers; Arnold Smeulders | ||||
Title | Selective Search for Object Recognition | Type | Journal Article | ||
Year | 2013 | Publication | International Journal of Computer Vision | Abbreviated Journal | IJCV |
Volume | 104 | Issue | 2 | Pages | 154-171 |
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Abstract | This paper addresses the problem of generating possible object locations for use in object recognition. We introduce selective search which combines the strength of both an exhaustive search and segmentation. Like segmentation, we use the image structure to guide our sampling process. Like exhaustive search, we aim to capture all possible object locations. Instead of a single technique to generate possible object locations, we diversify our search and use a variety of complementary image partitionings to deal with as many image conditions as possible. Our selective search results in a small set of data-driven, class-independent, high quality locations, yielding 99 % recall and a Mean Average Best Overlap of 0.879 at 10,097 locations. The reduced number of locations compared to an exhaustive search enables the use of stronger machine learning techniques and stronger appearance models for object recognition. In this paper we show that our selective search enables the use of the powerful Bag-of-Words model for recognition. The selective search software is made publicly available (Software: http://disi.unitn.it/~uijlings/SelectiveSearch.html). | ||||
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ISSN | 0920-5691 | ISBN | Medium | ||
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Notes | ALTRES;ISE | Approved ![]() |
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Call Number | Admin @ si @ USG2013 | Serial | 2362 | ||
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Author | Zeynep Yucel; Albert Ali Salah; Çetin Meriçli; Tekin Meriçli; Roberto Valenti; Theo Gevers | ||||
Title | Joint Attention by Gaze Interpolation and Saliency | Type | Journal | ||
Year | 2013 | Publication | IEEE Transactions on cybernetics | Abbreviated Journal | T-CIBER |
Volume | 43 | Issue | 3 | Pages | 829-842 |
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Abstract | Joint attention, which is the ability of coordination of a common point of reference with the communicating party, emerges as a key factor in various interaction scenarios. This paper presents an image-based method for establishing joint attention between an experimenter and a robot. The precise analysis of the experimenter's eye region requires stability and high-resolution image acquisition, which is not always available. We investigate regression-based interpolation of the gaze direction from the head pose of the experimenter, which is easier to track. Gaussian process regression and neural networks are contrasted to interpolate the gaze direction. Then, we combine gaze interpolation with image-based saliency to improve the target point estimates and test three different saliency schemes. We demonstrate the proposed method on a human-robot interaction scenario. Cross-subject evaluations, as well as experiments under adverse conditions (such as dimmed or artificial illumination or motion blur), show that our method generalizes well and achieves rapid gaze estimation for establishing joint attention. | ||||
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Series Volume | Series Issue | Edition | |||
ISSN | 2168-2267 | ISBN | Medium | ||
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Notes | ALTRES;ISE | Approved ![]() |
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Call Number | Admin @ si @ YSM2013 | Serial | 2363 | ||
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Author | Jorge Bernal; F. Javier Sanchez; Fernando Vilariño | ||||
Title | Current Challenges on Polyp Detection in Colonoscopy Videos: From Region Segmentation to Region Classification. a Pattern Recognition-based Approach.ased Approach | Type | Conference Article | ||
Year | 2011 | Publication | 2nd International Workshop on Medical Image Analysis and Descriptionfor Diagnosis Systems | Abbreviated Journal | |
Volume | Issue | Pages | 62-71 | ||
Keywords | Medical Imaging, Colonoscopy, Pattern Recognition, Segmentation, Polyp Detection, Region Description, Machine Learning, Real-time. | ||||
Abstract | In this paper we present our approach on real-time polyp detection in colonoscopy videos. Our method consists of three stages: Image Segmentation, Region Description and Image Classification. Taking into account the constraints of our project, we introduce our segmentation system that is based on the model of appearance of the polyp that we have defined after observing real videos from colonoscopy processes. The output of this stage will ideally be a low number of regions of which one of them should cover the whole polyp region (if there is one in the image). This regions will be described in terms of features and, as a result of a machine learning schema, classified based on the values that they have for the several features that we will use on their description. Although we are still on the early stages of the project, we present some preliminary segmentation results that indicates that we are going in a good direction. | ||||
Address | Rome, Italy | ||||
Corporate Author | Thesis | ||||
Publisher | SciTePress | Place of Publication | Editor | Djemal, Khalifa | |
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Area | 800 | Expedition | Conference | MIAD | |
Notes | MV;SIAI | Approved ![]() |
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Call Number | IAM @ iam @ BSV2011a | Serial | 1695 | ||
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Author | Jorge Bernal; F. Javier Sanchez; Fernando Vilariño | ||||
Title | A Region Segmentation Method for Colonoscopy Images Using a Model of Polyp Appearance | Type | Conference Article | ||
Year | 2011 | Publication | 5th Iberian Conference on Pattern Recognition and Image Analysis | Abbreviated Journal | |
Volume | 6669 | Issue | Pages | 134-143 | |
Keywords | Colonoscopy, Polyp Detection, Region Merging, Region Segmentation. | ||||
Abstract | This work aims at the segmentation of colonoscopy images into a minimum number of informative regions. Our method performs in a way such, if a polyp is present in the image, it will be exclusively and totally contained in a single region. This result can be used in later stages to classify regions as polyp-containing candidates. The output of the algorithm also defines which regions can be considered as non-informative. The algorithm starts with a high number of initial regions and merges them taking into account the model of polyp appearance obtained from available data. The results show that our segmentations of polyp regions are more accurate than state-of-the-art methods. | ||||
Address | Las Palmas de Gran Canaria, June 2011 | ||||
Corporate Author | SpringerLink | Thesis | |||
Publisher | Place of Publication | Editor | Vitrià, Jordi and Sanches, João and Hernández, Mario | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Lecture Notes in Computer Science | Abbreviated Series Title | LNCS | |
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-3-642-21256-7 | Medium | ||
Area | 800 | Expedition | Conference | IbPRIA | |
Notes | MV;SIAI | Approved ![]() |
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Call Number | IAM @ iam @ BSV2011c | Serial | 1696 | ||
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Author | Jorge Bernal; Fernando Vilariño; F. Javier Sanchez | ||||
Title | Towards Intelligent Systems for Colonoscopy | Type | Book Chapter | ||
Year | 2011 | Publication | Colonoscopy | Abbreviated Journal | |
Volume | 1 | Issue | Pages | 257-282 | |
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Abstract | In this chapter we present tools that can be used to build intelligent systems for colonoscopy.
The idea is, by using methods based on computer vision and artificial intelligence, add significant value to the colonoscopy procedure. Intelligent systems are being used to assist in other medical interventions |
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Publisher | Intech | Place of Publication | Editor | Paul Miskovitz | |
Language | Summary Language | Original Title | |||
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ISSN | ISBN | 978-953-307-568-6 | Medium | ||
Area | 800 | Expedition | Conference | ||
Notes | MV;SIAI | Approved ![]() |
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Call Number | IAM @ iam @ BVS2011 | Serial | 1697 | ||
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Author | Jorge Bernal; F. Javier Sanchez; Fernando Vilariño | ||||
Title | Integration of Valley Orientation Distribution for Polyp Region Identification in Colonoscopy | Type | Conference Article | ||
Year | 2011 | Publication | In MICCAI 2011 Workshop on Computational and Clinical Applications in Abdominal Imaging | Abbreviated Journal | |
Volume | 6668 | Issue | Pages | 76-83 | |
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Abstract | This work presents a region descriptor based on the integration of the information that the depth of valleys image provides. The depth of valleys image is based on the presence of intensity valleys around polyps due to the image acquisition. Our proposed method consists of defining, for each point, a series of radial sectors around it and then accumulates the maxima of the depth of valleys image only if the orientation of the intensity valley coincides with the orientation of the sector above. We apply our descriptor to a prior segmentation of the images and we present promising results on polyp detection, outperforming other approaches that also integrate depth of valleys information. | ||||
Address | Toronto, Canada | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Link | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Lecture Notes in Computer Science | Abbreviated Series Title | ||
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ISSN | ISBN | Medium | |||
Area | 800 | Expedition | Conference | ABI | |
Notes | MV;SIAI | Approved ![]() |
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Call Number | IAM @ iam @ BSV2011d | Serial | 1698 | ||
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