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| Author | Niki Aifanti; Angel Sappa; N. Grammalidis; Sotiris Malassiotis | ||||
| Title | Advances in Tracking and Recognition of Human Motion | Type | Book Chapter | ||
| Year | 2009 | Publication | Encyclopedia of Information Science and Technology | Abbreviated Journal | |
| Volume | I | Issue | 2nd edition | Pages | 65–71 |
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ ASG2009 | Serial | 1143 | ||
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| Author | Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis | ||||
| Title | Prior Knowledge Based Motion Model Representation | Type | Book Chapter | ||
| Year | 2009 | Publication | Progress in Computer Vision and Image Analysis | Abbreviated Journal | |
| Volume | 16 | Issue | Pages | ||
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Place of Publication | Editor | Horst Bunke; JuanJose Villanueva; Gemma Sanchez | ||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ SAM2009 | Serial | 1235 | ||
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| Author | Ole Vilhelm-Larsen; Petia Radeva; Enric Marti | ||||
| Title | Guidelines for choosing optimal parameters of elasticity for snakes | Type | Book Chapter | ||
| Year | 1995 | Publication | Computer Analysis Of Images And Patterns | Abbreviated Journal | LNCS |
| Volume | 970 | Issue | Pages | 106-113 | |
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| Abstract | This paper proposes a guidance in the process of choosing and using the parameters of elasticity of a snake in order to obtain a precise segmentation. A new two step procedure is defined based on upper and lower bounds on the parameters. Formulas, by which these bounds can be calculated for real images where parts of the contour may be missing, are presented. Experiments on segmentation of bone structures in X-ray images have verified the usefulness of the new procedure. | ||||
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| Series Editor | Series Title | Lecture Notes in Computer Science | Abbreviated Series Title | LNCS | |
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| Notes | MILAB;IAM | Approved | no | ||
| Call Number | IAM @ iam @ LRM1995b | Serial | 1558 | ||
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| Author | Josep Llados; Jaime Lopez-Krahe; Enric Marti | ||||
| Title | A system to understand hand-drawn floor plans using subgraph isomorphism and Hough transform | Type | Book Chapter | ||
| Year | 1997 | Publication | Machine Vision and Applications | Abbreviated Journal | |
| Volume | 10 | Issue | 3 | Pages | 150-158 |
| Keywords | Line drawings – Hough transform – Graph matching – CAD systems – Graphics recognition | ||||
| Abstract | Presently, man-machine interface development is a widespread research activity. A system to understand hand drawn architectural drawings in a CAD environment is presented in this paper. To understand a document, we have to identify its building elements and their structural properties. An attributed graph structure is chosen as a symbolic representation of the input document and the patterns to recognize in it. An inexact subgraph isomorphism procedure using relaxation labeling techniques is performed. In this paper we focus on how to speed up the matching. There is a building element, the walls, characterized by a hatching pattern. Using a straight line Hough transform (SLHT)-based method, we recognize this pattern, characterized by parallel straight lines, and remove from the input graph the edges belonging to this pattern. The isomorphism is then applied to the remainder of the input graph. When all the building elements have been recognized, the document is redrawn, correcting the inaccurate strokes obtained from a hand-drawn input. | ||||
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| Notes | DAG;IAM | Approved | no | ||
| Call Number | IAM @ iam @ LLM1997a | Serial | 1566 | ||
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| Author | Josep Llados; Ernest Valveny; Enric Marti | ||||
| Title | Symbol Recognition in Document Image Analysis: Methods and Challenges | Type | Book Chapter | ||
| Year | 2000 | Publication | Recent Research Developments in Pattern Recognition, Transworld Research Network, | Abbreviated Journal | |
| Volume | 1 | Issue | Pages | 151–178. | |
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| ISSN | ISBN | 81-86846-61-1 | Medium | ||
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| Notes | DAG;IAM | Approved | no | ||
| Call Number | IAM @ iam @ LVM2000 | Serial | 1575 | ||
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| Author | Cristhian Aguilera; M.Ramos; Angel Sappa | ||||
| Title | Simulated Annealing: A Novel Application of Image Processing in the Wood Area | Type | Book Chapter | ||
| Year | 2012 | Publication | Simulated Annealing – Advances, Applications and Hybridizations | Abbreviated Journal | |
| Volume | Issue | Pages | 91-104 | ||
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Place of Publication | Editor | Marcos de Sales Guerra Tsuzuki | ||
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| ISSN | ISBN | 978-953-51-0710-1 | Medium | ||
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| Notes | ADAS | Approved | no | ||
| Call Number | Admin @ si @ ARS2012 | Serial | 2156 | ||
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| Author | C. Alejandro Parraga | ||||
| Title | Perceptual Psychophysics | Type | Book Chapter | ||
| Year | 2015 | Publication | Biologically-Inspired Computer Vision: Fundamentals and Applications | Abbreviated Journal | |
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Place of Publication | Editor | G.Cristobal; M.Keil; L.Perrinet | ||
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| ISSN | ISBN | 978-3-527-41264-8 | Medium | ||
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| Notes | CIC; 600.074 | Approved | no | ||
| Call Number | Admin @ si @ Par2015 | Serial | 2600 | ||
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| Author | Jorge Bernal; F. Javier Sanchez; Cristina Rodriguez de Miguel; Gloria Fernandez Esparrach | ||||
| Title | Bulding up the future of colonoscopy: A synergy between clinicians and computer scientists | Type | Book Chapter | ||
| Year | 2015 | Publication | Colonoscopy and Colorectal Cancer | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | Intelligent systems; Image properties; Validation; Clinical drawbacks; Endoluminal scene description | ||||
| Abstract | Recent advances in endoscopic technology have generated an increasing interest in strengthening the collaboration between clinicians and computers scientist to develop intelligent systems that can provide additional information to clinicians in the different stages of an intervention. The objective of this chapter is to identify clinical drawbacks of colonoscopy in order to define potential areas of collaboration. Once areas are defined, we present the challenges that colonoscopy images present in order computational methods to provide with meaningful output, including those related to image formation and acquisition, as they are proven to have an impact in the performance of an intelligent system. Finally, we also propose how to define validation frameworks in order to assess the performance of a given method, making an special emphasis on how databases should be created and annotated and which metrics should be used to evaluate systems correctly. | ||||
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| ISSN | ISBN | 978-953-51-2225-8 | Medium | ||
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| Notes | MV | Approved | no | ||
| Call Number | Admin @ si @ BSR2015 | Serial | 2624 | ||
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| Author | Debora Gil; F. Javier Sanchez; Gloria Fernandez Esparrach; Jorge Bernal | ||||
| Title | 3D Stable Spatio-temporal Polyp Localization in Colonoscopy Videos | Type | Book Chapter | ||
| Year | 2015 | Publication | Computer-Assisted and Robotic Endoscopy. Revised selected papers of Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015 | Abbreviated Journal | |
| Volume | 9515 | Issue | Pages | 140-152 | |
| Keywords | Colonoscopy, Polyp Detection, Polyp Localization, Region Extraction, Watersheds | ||||
| Abstract | Computational intelligent systems could reduce polyp miss rate in colonoscopy for colon cancer diagnosis and, thus, increase the efficiency of the procedure. One of the main problems of existing polyp localization methods is a lack of spatio-temporal stability in their response. We propose to explore the response of a given polyp localization across temporal windows in order to select
those image regions presenting the highest stable spatio-temporal response. Spatio-temporal stability is achieved by extracting 3D watershed regions on the temporal window. Stability in localization response is statistically determined by analysis of the variance of the output of the localization method inside each 3D region. We have explored the benefits of considering spatio-temporal stability in two different tasks: polyp localization and polyp detection. Experimental results indicate an average improvement of 21:5% in polyp localization and 43:78% in polyp detection. |
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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| Area | Expedition | Conference | CARE | ||
| Notes | IAM; MV; 600.075 | Approved | no | ||
| Call Number | Admin @ si @ GSF2015 | Serial | 2733 | ||
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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 | Pedro Herruzo; Marc Bolaños; Petia Radeva | ||||
| Title | Can a CNN Recognize Catalan Diet? | Type | Book Chapter | ||
| Year | 2016 | Publication | AIP Conference Proceedings | Abbreviated Journal | |
| Volume | 1773 | Issue | Pages | ||
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| Abstract | CoRR abs/1607.08811
Nowadays, we can find several diseases related to the unhealthy diet habits of the population, such as diabetes, obesity, anemia, bulimia and anorexia. In many cases, these diseases are related to the food consumption of people. Mediterranean diet is scientifically known as a healthy diet that helps to prevent many metabolic diseases. In particular, our work focuses on the recognition of Mediterranean food and dishes. The development of this methodology would allow to analise the daily habits of users with wearable cameras, within the topic of lifelogging. By using automatic mechanisms we could build an objective tool for the analysis of the patient’s behavior, allowing specialists to discover unhealthy food patterns and understand the user’s lifestyle. With the aim to automatically recognize a complete diet, we introduce a challenging multi-labeled dataset related to Mediter-ranean diet called FoodCAT. The first type of label provided consists of 115 food classes with an average of 400 images per dish, and the second one consists of 12 food categories with an average of 3800 pictures per class. This dataset will serve as a basis for the development of automatic diet recognition. In this context, deep learning and more specifically, Convolutional Neural Networks (CNNs), currently are state-of-the-art methods for automatic food recognition. In our work, we compare several architectures for image classification, with the purpose of diet recognition. Applying the best model for recognising food categories, we achieve a top-1 accuracy of 72.29%, and top-5 of 97.07%. In a complete diet recognition of dishes from Mediterranean diet, enlarged with the Food-101 dataset for international dishes recognition, we achieve a top-1 accuracy of 68.07%, and top-5 of 89.53%, for a total of 115+101 food classes. |
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| Notes | MILAB | Approved | no | ||
| Call Number | Admin @ si @ HBR2016 | Serial | 2837 | ||
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| Author | David Geronimo; David Vazquez; Arturo de la Escalera | ||||
| Title | Vision-Based Advanced Driver Assistance Systems | Type | Book Chapter | ||
| Year | 2017 | Publication | Computer Vision in Vehicle Technology: Land, Sea, and Air | Abbreviated Journal | |
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| Keywords | ADAS; Autonomous Driving | ||||
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| Notes | ADAS; 600.118 | Approved | no | ||
| Call Number | ADAS @ adas @ GVE2017 | Serial | 2881 | ||
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| Author | H. Martin Kjer; Jens Fagertun; Sergio Vera; Debora Gil | ||||
| Title | Medial structure generation for registration of anatomical structures | Type | Book Chapter | ||
| Year | 2017 | Publication | Skeletonization, Theory, Methods and Applications | Abbreviated Journal | |
| Volume | 11 | Issue | Pages | ||
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| Notes | IAM; 600.096; 600.075; 600.145 | Approved | no | ||
| Call Number | Admin @ si @ MFV2017a | Serial | 2935 | ||
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| Author | Pau Riba; Alicia Fornes; Josep Llados | ||||
| Title | Towards the Alignment of Handwritten Music Scores | Type | Book Chapter | ||
| Year | 2017 | Publication | International Workshop on Graphics Recognition. GREC 2015.Graphic Recognition. Current Trends and Challenges | Abbreviated Journal | |
| Volume | 9657 | Issue | Pages | 103-116 | |
| Keywords | Optical Music Recognition; Handwritten Music Scores; Dynamic Time Warping alignment | ||||
| Abstract | It is very common to nd di erent versions of the same music work in archives of Opera Theaters. These di erences correspond to modi cations and annotations from the musicians. From the musicologist point of view, these variations are very interesting and deserve study.
This paper explores the alignment of music scores as a tool for automatically detecting the passages that contain such di erences. Given the diculties in the recognition of handwritten music scores, our goal is to align the music scores and at the same time, avoid the recognition of music elements as much as possible. After removing the sta lines, braces and ties, the bar lines are detected. Then, the bar units are described as a whole using the Blurred Shape Model. The bar units alignment is performed by using Dynamic Time Warping. The analysis of the alignment path is used to detect the variations in the music scores. The method has been evaluated on a subset of the CVC-MUSCIMA dataset, showing encouraging results. |
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Place of Publication | Editor | Bart Lamiroy; R Dueire Lins | ||
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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| ISSN | ISBN | 978-3-319-52158-9 | Medium | ||
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| Notes | DAG; 600.097; 602.006; 600.121 | Approved | no | ||
| Call Number | Admin @ si @ RFL2017 | Serial | 2955 | ||
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| Author | Thanh Ha Do; Salvatore Tabbone; Oriol Ramos Terrades | ||||
| Title | Spotting Symbol over Graphical Documents Via Sparsity in Visual Vocabulary | Type | Book Chapter | ||
| Year | 2016 | Publication | Recent Trends in Image Processing and Pattern Recognition | Abbreviated Journal | |
| Volume | 709 | Issue | Pages | ||
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| Area | Expedition | Conference | RTIP2R | ||
| Notes | DAG | Approved | no | ||
| Call Number | Admin @ si @ HTR2016 | Serial | 2956 | ||
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