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| Author | Marta Nuñez-Garcia; Sonja Simpraga; M.Angeles Jurado; Maite Garolera; Roser Pueyo; Laura Igual | ||||
| Title | FADR: Functional-Anatomical Discriminative Regions for rest fMRI Characterization | Type | Conference Article | ||
| Year | 2015 | Publication | Machine Learning in Medical Imaging, Proceedings of 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015 | Abbreviated Journal | |
| Volume | Issue | Pages | 61-68 | ||
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| Address | Munich; Germany; October 2015 | ||||
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| Area | Expedition | Conference | MLMI | ||
| Notes | MILAB | Approved | no | ||
| Call Number | Admin @ si @ NSJ2015 | Serial | 2674 | ||
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| Author | Chen Zhang; Maria del Mar Vila Muñoz; Petia Radeva; Roberto Elosua; Maria Grau; Angels Betriu; Elvira Fernandez-Giraldez; Laura Igual | ||||
| Title | Carotid Artery Segmentation in Ultrasound Images | Type | Conference Article | ||
| Year | 2015 | Publication | Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT2015), Joint MICCAI Workshops | Abbreviated Journal | |
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| Address | Munich; Germany; October 2015 | ||||
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| Area | Expedition | Conference | CVII-STENT | ||
| Notes | MILAB | Approved | no | ||
| Call Number | Admin @ si @ ZVR2015 | Serial | 2675 | ||
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| Author | Onur Ferhat; Arcadi Llanza; Fernando Vilariño | ||||
| Title | Gaze interaction for multi-display systems using natural light eye-tracker | Type | Conference Article | ||
| Year | 2015 | Publication | 2nd International Workshop on Solutions for Automatic Gaze Data Analysis | Abbreviated Journal | |
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| Address | Bielefeld; Germany; September 2015 | ||||
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| Area | Expedition | Conference | SAGA | ||
| Notes | MV;SIAI | Approved | no | ||
| Call Number | Admin @ si @ FLV2015b | Serial | 2676 | ||
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| Author | Hongxing Gao; Marçal Rusiñol; Dimosthenis Karatzas; Josep Llados; R.Jain; D.Doermann | ||||
| Title | Novel Line Verification for Multiple Instance Focused Retrieval in Document Collections | Type | Conference Article | ||
| Year | 2015 | Publication | 13th International Conference on Document Analysis and Recognition ICDAR2015 | Abbreviated Journal | |
| Volume | Issue | Pages | 481-485 | ||
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| Address | Nancy; France; August 2015 | ||||
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| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG; 600.077; 601.223; 600.084; 600.061 | Approved | no | ||
| Call Number | Admin @ si @ GRK2015 | Serial | 2683 | ||
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| Author | Dimosthenis Karatzas; Lluis Gomez; Anguelos Nicolaou; Suman Ghosh; Andrew Bagdanov; Masakazu Iwamura; J. Matas; L. Neumann; V. Ramaseshan; S. Lu ; Faisal Shafait; Seiichi Uchida; Ernest Valveny | ||||
| Title | ICDAR 2015 Competition on Robust Reading | Type | Conference Article | ||
| Year | 2015 | Publication | 13th International Conference on Document Analysis and Recognition ICDAR2015 | Abbreviated Journal | |
| Volume | Issue | Pages | 1156-1160 | ||
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| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG; 600.077; 600.084 | Approved | no | ||
| Call Number | Admin @ si @ KGN2015 | Serial | 2690 | ||
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| Author | Gloria Fernandez Esparrach; Jorge Bernal; Cristina Rodriguez de Miguel; Debora Gil; Fernando Vilariño; Henry Cordova; Cristina Sanchez Montes; I.Araujo ; Maria Lopez Ceron; J.Llach; F. Javier Sanchez | ||||
| Title | Colonic polyps are correctly identified by a computer vision method using wm-dova energy maps | Type | Conference Article | ||
| Year | 2015 | Publication | Proceedings of 23 United European- UEG Week 2015 | Abbreviated Journal | |
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| Area | Expedition | Conference | UEG | ||
| Notes | MV; IAM; 600.075;SIAI | Approved | no | ||
| Call Number | Admin @ si @ FBR2015 | Serial | 2732 | ||
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| Author | Fernando Vilariño; Dimosthenis Karatzas | ||||
| Title | The Library Living Lab | Type | Conference Article | ||
| Year | 2015 | Publication | Open Living Lab Days | Abbreviated Journal | |
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| Address | Istanbul; Turkey; August 2015 | ||||
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| Area | Expedition | Conference | OLLD | ||
| Notes | MV; DAG;SIAI | Approved | no | ||
| Call Number | Admin @ si @ViK2015 | Serial | 2797 | ||
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| Author | Fernando Vilariño; Dimosthenis Karatzas; Marcos Catalan; Alberto Valcarcel | ||||
| Title | An horizon for the Public Library as a place for innovation and creativity. The Library Living Lab in Volpelleres | Type | Book Chapter | ||
| Year | 2015 | Publication | The White Book on Public Library Network from Diputació de Barcelona | Abbreviated Journal | |
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| Notes | MV; DAG;SIAI | Approved | no | ||
| Call Number | Admin @ si @VKC2015 | Serial | 2798 | ||
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| Author | Fernando Vilariño | ||||
| Title | Computer Vision and Performing Arts | Type | Conference Article | ||
| Year | 2015 | Publication | Korean Scholars of Marketing Science | Abbreviated Journal | |
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| Address | Seoul; Korea; October 2015 | ||||
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| Area | Expedition | Conference | KAMS | ||
| Notes | MV;SIAI | Approved | no | ||
| Call Number | Admin @ si @Vil2015 | Serial | 2799 | ||
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| Author | Fernando Vilariño; Dan Norton; Onur Ferhat | ||||
| Title | Memory Fields: DJs in the Library | Type | Conference Article | ||
| Year | 2015 | Publication | 21 st Symposium of Electronic Arts | Abbreviated Journal | |
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| Address | Vancouver; Canada; August 2015 | ||||
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| Area | Expedition | Conference | ISEA | ||
| Notes | ;SIAI | Approved | no | ||
| Call Number | Admin @ si @VNF2015 | Serial | 2800 | ||
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| Author | Andres Traumann; Gholamreza Anbarjafari; Sergio Escalera | ||||
| Title | Accurate 3D Measurement Using Optical Depth Information | Type | Journal Article | ||
| Year | 2015 | Publication | Electronic Letters | Abbreviated Journal | EL |
| Volume | 51 | Issue | 18 | Pages | 1420-1422 |
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| Abstract |
A novel three-dimensional measurement technique is proposed. The methodology consists in mapping from the screen coordinates reported by the optical camera to the real world, and integrating distance gradients from the beginning to the end point, while also minimising the error through fitting pixel locations to a smooth curve. The results demonstrate accuracy of less than half a centimetre using Microsoft Kinect II. | ||||
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| Notes | HuPBA;MILAB | Approved | no | ||
| Call Number | Admin @ si @ TAE2015 | Serial | 2647 | ||
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| Author | Aura Hernandez-Sabate; Meritxell Joanpere; Nuria Gorgorio; Lluis Albarracin | ||||
| Title | Mathematics learning opportunities when playing a Tower Defense Game | Type | Journal | ||
| Year | 2015 | Publication | International Journal of Serious Games | Abbreviated Journal | IJSG |
| Volume | 2 | Issue | 4 | Pages | 57-71 |
| Keywords | Tower Defense game; learning opportunities; mathematics; problem solving; game design | ||||
| Abstract |
A qualitative research study is presented herein with the purpose of identifying mathematics learning opportunities in students between 10 and 12 years old while playing a commercial version of a Tower Defense game. These learning opportunities are understood as mathematicisable moments of the game and involve the establishment of relationships between the game and mathematical problem solving. Based on the analysis of these mathematicisable moments, we conclude that the game can promote problem-solving processes and learning opportunities that can be associated with different mathematical contents that appears in mathematics curricula, thought it seems that teacher or new game elements might be needed to facilitate the processes. | ||||
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| Notes | ADAS; 600.076 | Approved | no | ||
| Call Number | Admin @ si @ HJG2015 | Serial | 2730 | ||
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| Author | Fahad Shahbaz Khan; Jiaolong Xu; Muhammad Anwer Rao; Joost Van de Weijer; Andrew Bagdanov; Antonio Lopez | ||||
| Title | Recognizing Actions through Action-specific Person Detection | Type | Journal Article | ||
| Year | 2015 | Publication | IEEE Transactions on Image Processing | Abbreviated Journal | TIP |
| Volume | 24 | Issue | 11 | Pages | 4422-4432 |
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Action recognition in still images is a challenging problem in computer vision. To facilitate comparative evaluation independently of person detection, the standard evaluation protocol for action recognition uses an oracle person detector to obtain perfect bounding box information at both training and test time. The assumption is that, in practice, a general person detector will provide candidate bounding boxes for action recognition. In this paper, we argue that this paradigm is suboptimal and that action class labels should already be considered during the detection stage. Motivated by the observation that body pose is strongly conditioned on action class, we show that: 1) the existing state-of-the-art generic person detectors are not adequate for proposing candidate bounding boxes for action classification; 2) due to limited training examples, the direct training of action-specific person detectors is also inadequate; and 3) using only a small number of labeled action examples, the transfer learning is able to adapt an existing detector to propose higher quality bounding boxes for subsequent action classification. To the best of our knowledge, we are the first to investigate transfer learning for the task of action-specific person detection in still images. We perform extensive experiments on two benchmark data sets: 1) Stanford-40 and 2) PASCAL VOC 2012. For the action detection task (i.e., both person localization and classification of the action performed), our approach outperforms methods based on general person detection by 5.7% mean average precision (MAP) on Stanford-40 and 2.1% MAP on PASCAL VOC 2012. Our approach also significantly outperforms the state of the art with a MAP of 45.4% on Stanford-40 and 31.4% on PASCAL VOC 2012. We also evaluate our action detection approach for the task of action classification (i.e., recognizing actions without localizing them). For this task, our approach, without using any ground-truth person localization at test tim- , outperforms on both data sets state-of-the-art methods, which do use person locations. | ||||
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| ISSN | 1057-7149 | ISBN | Medium | ||
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| Notes | ADAS; LAMP; 600.076; 600.079 | Approved | no | ||
| Call Number | Admin @ si @ KXR2015 | Serial | 2668 | ||
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| Author | Kamal Nasrollahi; Sergio Escalera; P. Rasti; Gholamreza Anbarjafari; Xavier Baro; Hugo Jair Escalante; Thomas B. Moeslund | ||||
| Title | Deep Learning based Super-Resolution for Improved Action Recognition | Type | Conference Article | ||
| Year | 2015 | Publication | 5th International Conference on Image Processing Theory, Tools and Applications IPTA2015 | Abbreviated Journal | |
| Volume | Issue | Pages | 67 - 72 | ||
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| Abstract |
Action recognition systems mostly work with videos of proper quality and resolution. Even most challenging benchmark databases for action recognition, hardly include videos of low-resolution from, e.g., surveillance cameras. In videos recorded by such cameras, due to the distance between people and cameras, people are pictured very small and hence challenge action recognition algorithms. Simple upsampling methods, like bicubic interpolation, cannot retrieve all the detailed information that can help the recognition. To deal with this problem, in this paper we combine results of bicubic interpolation with results of a state-ofthe-art deep learning-based super-resolution algorithm, through an alpha-blending approach. The experimental results obtained on down-sampled version of a large subset of Hoolywood2 benchmark database show the importance of the proposed system in increasing the recognition rate of a state-of-the-art action recognition system for handling low-resolution videos. | ||||
| Address | Orleans; France; November 2015 | ||||
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| Area | Expedition | Conference | IPTA | ||
| Notes | HuPBA;MV | Approved | no | ||
| Call Number | Admin @ si @ NER2015 | Serial | 2648 | ||
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| Author | Ivan Huerta; Michael Holte; Thomas B. Moeslund; Jordi Gonzalez | ||||
| Title | Chromatic shadow detection and tracking for moving foreground segmentation | Type | Journal Article | ||
| Year | 2015 | Publication | Image and Vision Computing | Abbreviated Journal | IMAVIS |
| Volume | 41 | Issue | Pages | 42-53 | |
| Keywords | Detecting moving objects; Chromatic shadow detection; Temporal local gradient; Spatial and Temporal brightness and angle distortions; Shadow tracking | ||||
| Abstract |
Advanced segmentation techniques in the surveillance domain deal with shadows to avoid distortions when detecting moving objects. Most approaches for shadow detection are still typically restricted to penumbra shadows and cannot cope well with umbra shadows. Consequently, umbra shadow regions are usually detected as part of moving objects, thus a ecting the performance of the nal detection. In this paper we address the detection of both penumbra and umbra shadow regions. First, a novel bottom-up approach is presented based on gradient and colour models, which successfully discriminates between chromatic moving cast shadow regions and those regions detected as moving objects. In essence, those regions corresponding to potential shadows are detected based on edge partitioning and colour statistics. Subsequently (i) temporal similarities between textures and (ii) spatial similarities between chrominance angle and brightness distortions are analysed for each potential shadow region for detecting the umbra shadow regions. Our second contribution re nes even further the segmentation results: a tracking-based top-down approach increases the performance of our bottom-up chromatic shadow detection algorithm by properly correcting non-detected shadows.
To do so, a combination of motion lters in a data association framework exploits the temporal consistency between objects and shadows to increase the shadow detection rate. Experimental results exceed current state-of-the- art in shadow accuracy for multiple well-known surveillance image databases which contain di erent shadowed materials and illumination conditions. |
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| Notes | ISE; 600.078; 600.063 | Approved | no | ||
| Call Number | Admin @ si @ HHM2015 | Serial | 2703 | ||
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