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Jose Luis Alba; A. Pujol; Juan J. Villanueva |
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Title |
ST-SOM: A Shape+Texture Self Organizing Map. |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:55–60 |
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ISE @ ise @ APV2001b |
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70 |
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Author |
V. Chapaprieta; Ernest Valveny |
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Title |
Handwritten Digit Recognition Using Point Distribution Models. |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:49–54. |
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DAG @ dag @ ChV2001 |
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83 |
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Author |
Joan Serrat; X. Varona; Antonio Lopez; Xavier Roca; Juan J. Villanueva |
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Title |
P3: a three-dimensional digitizer prototype. |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:315–322. |
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Castellon. |
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ADAS;ISE |
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ADAS @ adas @ SVL2001 |
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213 |
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Author |
A. Pujol; Jose Luis Alba; Juan J. Villanueva |
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Title |
Supervised Hausdorff-based measures for face recognition. |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:255–261. |
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ISE @ ise @ PAV2001 |
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148 |
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Author |
A. Pujol; Alex Caralps; Juan J. Villanueva |
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Title |
On the suitability of pixel-outlier removal in face recognition. |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:241–247 |
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ISE @ ise @ PCV2001 |
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152 |
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David Rotger; Cristina Cañero; Petia Radeva; J. Mauri; E. Fernandez; A. Tovar; V. Valle |
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Title |
3D Interactive Visualization and Volumetric Measurements of Coronary Vessels in IVUS. |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:151–156. |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RCR2001a |
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156 |
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Author |
Josep Llados; J. Lopez-Krahe; Enric Marti |
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Title |
A Hough-based method for hatched pattern detection in maps and diagrams. |
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1999 |
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Proceedings of the International Conference on Document Analysis and Recognition. |
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Bangalore-India |
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DAG |
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DAG @ dag @ LlM1999b |
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1 |
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Author |
Hongxing Gao; Marçal Rusiñol; Dimosthenis Karatzas; Apostolos Antonacopoulos; Josep Llados |
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Title |
An interactive appearance-based document retrieval system for historical newspapers |
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Conference Article |
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2013 |
Publication |
Proceedings of the International Conference on Computer Vision Theory and Applications |
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84-87 |
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In this paper we present a retrieval-based application aimed at assisting a user to semi-automatically segment an incoming flow of historical newspaper images by automatically detecting a particular type of pages based on their appearance. A visual descriptor is used to assess page similarity while a relevance feedback process allow refining the results iteratively. The application is tested on a large dataset of digitised historic newspapers. |
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Barcelona; February 2013 |
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VISAPP |
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DAG; 600.056; 600.045; 605.203 |
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no |
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Call Number |
Admin @ si @ GRK2013a |
Serial |
2290 |
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Author |
Christophe Rigaud; Dimosthenis Karatzas; Joost Van de Weijer; Jean-Christophe Burie; Jean-Marc Ogier |
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Title |
Automatic text localisation in scanned comic books |
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Conference Article |
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Year |
2013 |
Publication |
Proceedings of the International Conference on Computer Vision Theory and Applications |
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Pages |
814-819 |
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Keywords |
Text localization; comics; text/graphic separation; complex background; unstructured document |
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Abstract |
Comic books constitute an important cultural heritage asset in many countries. Digitization combined with subsequent document understanding enable direct content-based search as opposed to metadata only search (e.g. album title or author name). Few studies have been done in this direction. In this work we detail a novel approach for the automatic text localization in scanned comics book pages, an essential step towards a fully automatic comics book understanding. We focus on speech text as it is semantically important and represents the majority of the text present in comics. The approach is compared with existing methods of text localization found in the literature and results are presented. |
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Barcelona; February 2013 |
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VISAPP |
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DAG; CIC; 600.056 |
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no |
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Admin @ si @ RKW2013b |
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2261 |
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Author |
Carles Sanchez; Debora Gil; Antoni Rosell; Albert Andaluz; F. Javier Sanchez |
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Title |
Segmentation of Tracheal Rings in Videobronchoscopy combining Geometry and Appearance |
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2013 |
Publication |
Proceedings of the International Conference on Computer Vision Theory and Applications |
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1 |
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153--161 |
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Video-bronchoscopy, tracheal ring segmentation, trachea geometric and appearance model |
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Videobronchoscopy is a medical imaging technique that allows interactive navigation inside the respiratory pathways and minimal invasive interventions. Tracheal procedures are ordinary interventions that require measurement of the percentage of obstructed pathway for injury (stenosis) assessment. Visual assessment of stenosis in videobronchoscopic sequences requires high expertise of trachea anatomy and is prone to human error. Accurate detection of tracheal rings is the basis for automated estimation of the size of stenosed trachea. Processing of videobronchoscopic images acquired at the operating room is a challenging task due to the wide range of artifacts and acquisition conditions. We present a model of the geometric-appearance of tracheal rings for its detection in videobronchoscopic videos. Experiments on sequences acquired at the operating room, show a performance close to inter-observer variability |
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Barcelona; February 2013 |
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SciTePress |
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Portugal |
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Sebastiano Battiato and José Braz |
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LNCS |
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978-989-8565-47-1 |
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800 |
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VISAPP |
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IAM;MV; 600.044; 600.047; 600.060; 605.203 |
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IAM @ iam @ SGR2013 |
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2123 |
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Author |
Joan M. Nuñez; Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
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Title |
Blood Vessel Characterization in Colonoscopy Images to Improve Polyp Localization |
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Conference Article |
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Year |
2013 |
Publication |
Proceedings of the International Conference on Computer Vision Theory and Applications |
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1 |
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162-171 |
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Colonoscopy; Blood vessel; Linear features; Valley detection |
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This paper presents an approach to mitigate the contribution of blood vessels to the energy image used at different tasks of automatic colonoscopy image analysis. This goal is achieved by introducing a characterization of endoluminal scene objects which allows us to differentiate between the trace of 2-dimensional visual objects,such as vessels, and shades from 3-dimensional visual objects, such as folds. The proposed characterization is based on the influence that the object shape has in the resulting visual feature, and it leads to the development of a blood vessel attenuation algorithm. A database consisting of manually labelled masks was built in order to test the performance of our method, which shows an encouraging success in blood vessel mitigation while keeping other structures intact. Moreover, by extending our method to the only available polyp localization
algorithm tested on a public database, blood vessel mitigation proved to have a positive influence on the overall performance. |
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Barcelona; February 2013 |
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SciTePress |
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800 |
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VISIGRAPP |
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MV; 600.054; 600.057;SIAI |
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IAM @ iam @ NBS2013 |
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2198 |
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Author |
Mirko Arnold; Anarta Ghosh; Glen Doherty; Hugh Mulcahy; Stephen Patchett; Gerard Lacey |
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Title |
Towards Automatic Direct Observation of Procedure and Skill (DOPS) in Colonoscopy |
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Conference Article |
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2013 |
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Proceedings of the International Conference on Computer Vision Theory and Applications |
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48-53 |
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MV |
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fernando @ fernando @ |
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2427 |
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Author |
Oriol Ramos Terrades; Salvatore Tabbone; Ernest Valveny |
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Title |
Optimal Linear Combination for Two-class Classifiers |
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2007 |
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Proceedings of the International Conference on Advances in Pattern Recognition |
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Kolkata (India) |
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ICAPR |
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DAG @ dag @ RTV2007a |
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894 |
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Author |
Marcos V Conde; Florin Vasluianu; Javier Vazquez; Radu Timofte |
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Title |
Perceptual image enhancement for smartphone real-time applications |
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Conference Article |
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2023 |
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Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision |
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1848-1858 |
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Recent advances in camera designs and imaging pipelines allow us to capture high-quality images using smartphones. However, due to the small size and lens limitations of the smartphone cameras, we commonly find artifacts or degradation in the processed images. The most common unpleasant effects are noise artifacts, diffraction artifacts, blur, and HDR overexposure. Deep learning methods for image restoration can successfully remove these artifacts. However, most approaches are not suitable for real-time applications on mobile devices due to their heavy computation and memory requirements. In this paper, we propose LPIENet, a lightweight network for perceptual image enhancement, with the focus on deploying it on smartphones. Our experiments show that, with much fewer parameters and operations, our model can deal with the mentioned artifacts and achieve competitive performance compared with state-of-the-art methods on standard benchmarks. Moreover, to prove the efficiency and reliability of our approach, we deployed the model directly on commercial smartphones and evaluated its performance. Our model can process 2K resolution images under 1 second in mid-level commercial smartphones. |
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Waikoloa; Hawai; USA; January 2023 |
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WACV |
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MACO; CIC |
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no |
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Admin @ si @ CVV2023 |
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3900 |
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Author |
Dipam Goswami; J Schuster; Joost Van de Weijer; Didier Stricker |
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Title |
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation |
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Conference Article |
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2023 |
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Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision |
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3195-3204 |
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Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. D Goswami, R Schuster, J van de Weijer, D Stricker. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 3195-3204 |
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Waikoloa; Hawai; USA; January 2023 |
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WACV |
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| |
Notes |
LAMP |
Approved |
no |
|
| |
Call Number |
Admin @ si @ GSW2023 |
Serial |
3901 |
|
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