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Author | V. Valev; Petia Radeva | ||||
Title | Determining Structural Description by Boolean Formulas. | Type | Book Chapter | ||
Year | 1992 | Publication | Advances in Structural and Syntactic Pattern Recognition | Abbreviated Journal | |
Volume | 5 | Issue | Pages | 131–140 | |
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Abstract | Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns.
This book gives an overview of the latest developments and achievements in the field. |
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Publisher | World Scientific | Place of Publication | Editor | H. Bunke | |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Machine Perception and Artificial Intelligence: | Abbreviated Series Title | ||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-981-279-791-9 | Medium | ||
Area | Expedition | Conference | |||
Notes | MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ VaR1992c | Serial | 254 | ||
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Author | Sergio Escalera; David M.J. Tax; Oriol Pujol; Petia Radeva; Robert P.W. Duin | ||||
Title | Multi-Class Classification in Image Analysis Via Error-Correcting Output Codes | Type | Book Chapter | ||
Year | 2011 | Publication | Innovations in Intelligent Image Analysis | Abbreviated Journal | |
Volume | 339 | Issue | Pages | 7-29 | |
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Abstract | A common way to model multi-class classification problems is by means of Error-Correcting Output Codes (ECOC). Given a multi-class problem, the ECOC technique designs a codeword for each class, where each position of the code identifies the membership of the class for a given binary problem.A classification decision is obtained by assigning the label of the class with the closest code. In this paper, we overview the state-of-the-art on ECOC designs and test them in real applications. Results on different multi-class data sets show the benefits of using the ensemble of classifiers when categorizing objects in images. | ||||
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Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Berlin | Editor | H. Kawasnicka; L.Jain |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 1860-949X | ISBN | 978-3-642-17933-4 | Medium | |
Area | Expedition | Conference | |||
Notes | MILAB;HuPBA | Approved | no | ||
Call Number | Admin @ si @ ETP2011 | Serial | 1746 | ||
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Author | Sergio Vera; Debora Gil; Agnes Borras; F. Javier Sanchez; Frederic Perez; Marius G. Linguraru; Miguel Angel Gonzalez Ballester | ||||
Title | Computation and Evaluation of Medial Surfaces for Shape Representation of Abdominal Organs | Type | Book Chapter | ||
Year | 2012 | Publication | Workshop on Computational and Clinical Applications in Abdominal Imaging | Abbreviated Journal | |
Volume | 7029 | Issue | Pages | 223–230 | |
Keywords | medial manifolds, abdomen. | ||||
Abstract | Medial representations are powerful tools for describing and parameterizing the volumetric shape of anatomical structures. Existing methods show excellent results when applied to 2D
objects, but their quality drops across dimensions. This paper contributes to the computation of medial manifolds in two aspects. First, we provide a standard scheme for the computation of medial manifolds that avoid degenerated medial axis segments; second, we introduce an energy based method which performs independently of the dimension. We evaluate quantitatively the performance of our method with respect to existing approaches, by applying them to synthetic shapes of known medial geometry. Finally, we show results on shape representation of multiple abdominal organs, exploring the use of medial manifolds for the representation of multi-organ relations. |
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Address | Toronto; Canada; | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Link | Place of Publication | Berlin | Editor | H. Yoshida et al |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Lecture Notes in Computer Science | Abbreviated Series Title | LNCS | |
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-28556-1 | Medium | |
Area | Expedition | Conference | ABDI | ||
Notes | IAM;MV | Approved | no | ||
Call Number | IAM @ iam @ VGB2012 | Serial | 1834 | ||
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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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Publisher | Place of Publication | Editor | Horst Bunke; JuanJose Villanueva; Gemma Sanchez | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ SAM2009 | Serial | 1235 | ||
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Author | Enric Marti; Debora Gil; Carme Julia | ||||
Title | Experiencia d aplicació de la metodología d aprenentatge per proyectes en assignatures d Enginyeria Informàtica per a una millor adaptació als crèdits ECTS i EEES | Type | Miscellaneous | ||
Year | 2008 | Publication | Experiències docents innovadores de la UAB en ciències experimentals i tecnologies i en ciències de la salud | Abbreviated Journal | |
Volume | 1 | Issue | Pages | 57-68 | |
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Corporate Author | Thesis | ||||
Publisher | UAB | Place of Publication | Editor | IDES-UAB; M.Enric Martinez, E.A. | |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-84-490-2576-1 | Medium | ||
Area | Expedition | Conference | |||
Notes | IAM;ADAS; | Approved | no | ||
Call Number | IAM @ iam @ MGJ2008 | Serial | 1592 | ||
Permanent link to this record | |||||
Author | Jose Manuel Alvarez; Antonio Lopez; Theo Gevers; Felipe Lumbreras | ||||
Title | Combining Priors, Appearance and Context for Road Detection | Type | Journal Article | ||
Year | 2014 | Publication | IEEE Transactions on Intelligent Transportation Systems | Abbreviated Journal | TITS |
Volume | 15 | Issue | 3 | Pages | 1168-1178 |
Keywords | Illuminant invariance; lane markings; road detection; road prior; road scene understanding; vanishing point; 3-D scene layout | ||||
Abstract | Detecting the free road surface ahead of a moving vehicle is an important research topic in different areas of computer vision, such as autonomous driving or car collision warning.
Current vision-based road detection methods are usually based solely on low-level features. Furthermore, they generally assume structured roads, road homogeneity, and uniform lighting conditions, constraining their applicability in real-world scenarios. In this paper, road priors and contextual information are introduced for road detection. First, we propose an algorithm to estimate road priors online using geographical information, providing relevant initial information about the road location. Then, contextual cues, including horizon lines, vanishing points, lane markings, 3-D scene layout, and road geometry, are used in addition to low-level cues derived from the appearance of roads. Finally, a generative model is used to combine these cues and priors, leading to a road detection method that is, to a large degree, robust to varying imaging conditions, road types, and scenarios. |
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Publisher | Place of Publication | Editor | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 1524-9050 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | ADAS; 600.076;ISE | Approved | no | ||
Call Number | Admin @ si @ ALG2014 | Serial | 2501 | ||
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Author | Jaume Gibert; Ernest Valveny | ||||
Title | Graph Embedding based on Nodes Attributes Representatives and a Graph of Words Representation. | Type | Conference Article | ||
Year | 2010 | Publication | 13th International worshop on structural and syntactic pattern recognition and 8th international worshop on statistical pattern recognition | Abbreviated Journal | |
Volume | 6218 | Issue | Pages | 223–232 | |
Keywords | |||||
Abstract | Although graph embedding has recently been used to extend statistical pattern recognition techniques to the graph domain, some existing embeddings are usually computationally expensive as they rely on classical graph-based operations. In this paper we present a new way to embed graphs into vector spaces by first encapsulating the information stored in the original graph under another graph representation by clustering the attributes of the graphs to be processed. This new representation makes the association of graphs to vectors an easy step by just arranging both node attributes and the adjacency matrix in the form of vectors. To test our method, we use two different databases of graphs whose nodes attributes are of different nature. A comparison with a reference method permits to show that this new embedding is better in terms of classification rates, while being much more faster. | ||||
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Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | In E.R. Hancock, R.C. Wilson, T. Windeatt, I. Ulusoy and F. Escolano, | |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-14979-5 | Medium | |
Area | Expedition | Conference | S+SSPR | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ GiV2010 | Serial | 1416 | ||
Permanent link to this record | |||||
Author | Sergio Vera; Debora Gil; Agnes Borras; F. Javier Sanchez; Frederic Perez; Marius G. Linguraru | ||||
Title | Computation and Evaluation of Medial Surfaces for Shape Representation of Abdominal Organs | Type | Conference Article | ||
Year | 2011 | Publication | Workshop on Computational and Clinical Applications in Abdominal Imaging | Abbreviated Journal | |
Volume | 7029 | Issue | Pages | 223-230 | |
Keywords | |||||
Abstract | Medial representations are powerful tools for describing and parameterizing the volumetric shape of anatomical structures. Existing methods show excellent results when applied to 2D objects, but their quality drops across dimensions. This paper contributes to the computation of medial manifolds in two aspects. First, we provide a standard scheme for the computation of medial manifolds that avoid degenerated medial axis segments; second, we introduce an energy based method which performs independently of the dimension. We evaluate quantitatively the performance of our method with respect to existing approaches, by applying them to synthetic shapes of known medial geometry. Finally, we show results on shape representation of multiple abdominal organs, exploring the use of medial manifolds for the representation of multi-organ relations. | ||||
Address | Nice, France | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | In H. Yoshida et al | |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ABDI | ||
Notes | IAM; MV | Approved | no | ||
Call Number | VGB2011 | Serial | 2036 | ||
Permanent link to this record | |||||
Author | David Aldavert; Arnau Ramisa; Ramon Lopez de Mantaras; Ricardo Toledo | ||||
Title | Real-time Object Segmentation using a Bag of Features Approach | Type | Conference Article | ||
Year | 2010 | Publication | 13th International Conference of the Catalan Association for Artificial Intelligence | Abbreviated Journal | |
Volume | 220 | Issue | Pages | 321–329 | |
Keywords | Object Segmentation; Bag Of Features; Feature Quantization; Densely sampled descriptors | ||||
Abstract | In this paper, we propose an object segmentation framework, based on the popular bag of features (BoF), which can process several images per second while achieving a good segmentation accuracy assigning an object category to every pixel of the image. We propose an efficient color descriptor to complement the information obtained by a typical gradient-based local descriptor. Results show that color proves to be a useful cue to increase the segmentation accuracy, specially in large homogeneous regions. Then, we extend the Hierarchical K-Means codebook using the recently proposed Vector of Locally Aggregated Descriptors method. Finally, we show that the BoF method can be easily parallelized since it is applied locally, thus the time necessary to process an image is further reduced. The performance of the proposed method is evaluated in the standard PASCAL 2007 Segmentation Challenge object segmentation dataset. | ||||
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Publisher | IOS Press Amsterdam, | Place of Publication | Editor | In R.Alquezar, A.Moreno, J.Aguilar. | |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 9781607506423 | Medium | ||
Area | Expedition | Conference | CCIA | ||
Notes | ADAS | Approved | no | ||
Call Number | Admin @ si @ ARL2010b | Serial | 1417 | ||
Permanent link to this record | |||||
Author | David Geronimo; Frederic Lerasle; Antonio Lopez | ||||
Title | State-driven particle filter for multi-person tracking | Type | Conference Article | ||
Year | 2012 | Publication | 11th International Conference on Advanced Concepts for Intelligent Vision Systems | Abbreviated Journal | |
Volume | 7517 | Issue | Pages | 467-478 | |
Keywords | human tracking | ||||
Abstract | Multi-person tracking can be exploited in applications such as driver assistance, surveillance, multimedia and human-robot interaction. With the help of human detectors, particle filters offer a robust method able to filter noisy detections and provide temporal coherence. However, some traditional problems such as occlusions with other targets or the scene, temporal drifting or even the lost targets detection are rarely considered, making the systems performance decrease. Some authors propose to overcome these problems using heuristics not explained
and formalized in the papers, for instance by defining exceptions to the model updating depending on tracks overlapping. In this paper we propose to formalize these events by the use of a state-graph, defining the current state of the track (e.g., potential , tracked, occluded or lost) and the transitions between states in an explicit way. This approach has the advantage of linking track actions such as the online underlying models updating, which gives flexibility to the system. It provides an explicit representation to adapt the multiple parallel trackers depending on the context, i.e., each track can make use of a specific filtering strategy, dynamic model, number of particles, etc. depending on its state. We implement this technique in a single-camera multi-person tracker and test it in public video sequences. |
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Address | Brno, Chzech Republic | ||||
Corporate Author | Thesis | ||||
Publisher | Springer | Place of Publication | Heidelberg | Editor | J. Blanc-Talon et al. |
Language | English | Summary Language | Original Title | ||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ACIVS | ||
Notes | ADAS | Approved | yes | ||
Call Number | GLL2012; ADAS @ adas @ gll2012a | Serial | 1990 | ||
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Author | Yainuvis Socarras; David Vazquez; Antonio Lopez; David Geronimo; Theo Gevers | ||||
Title | Improving HOG with Image Segmentation: Application to Human Detection | Type | Conference Article | ||
Year | 2012 | Publication | 11th International Conference on Advanced Concepts for Intelligent Vision Systems | Abbreviated Journal | |
Volume | 7517 | Issue | Pages | 178-189 | |
Keywords | Segmentation; Pedestrian Detection | ||||
Abstract | In this paper we improve the histogram of oriented gradients (HOG), a core descriptor of state-of-the-art object detection, by the use of higher-level information coming from image segmentation. The idea is to re-weight the descriptor while computing it without increasing its size. The benefits of the proposal are two-fold: (i) to improve the performance of the detector by enriching the descriptor information and (ii) take advantage of the information of image segmentation, which in fact is likely to be used in other stages of the detection system such as candidate generation or refinement.
We test our technique in the INRIA person dataset, which was originally developed to test HOG, embedding it in a human detection system. The well-known segmentation method, mean-shift (from smaller to larger super-pixels), and different methods to re-weight the original descriptor (constant, region-luminance, color or texture-dependent) has been evaluated. We achieve performance improvements of 4:47% in detection rate through the use of differences of color between contour pixel neighborhoods as re-weighting function. |
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Address | Brno, Czech Republic | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | J. Blanc-Talon et al. | |
Language | English | Summary Language | Original Title | ||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-33139-8 | Medium | |
Area | Expedition | Conference | ACIVS | ||
Notes | ADAS;ISE | Approved | no | ||
Call Number | ADAS @ adas @ SLV2012 | Serial | 1980 | ||
Permanent link to this record | |||||
Author | Fadi Dornaika; Angel Sappa | ||||
Title | Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data | Type | Conference Article | ||
Year | 2007 | Publication | Advances in Computer Graphics and Computer Vision, | Abbreviated Journal | |
Volume | Issue | Pages | 354–366 | ||
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Publisher | Springer Verlag | Place of Publication | Editor | J. Braz, A. Ranchordas, H. Araujo and J. Jorge, | |
Language | Summary Language | Original Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | VISAPP | ||
Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ DoS2007d | Serial | 1046 | ||
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Author | Josep Llados | ||||
Title | Computer Vision: Progress of Research and Development | Type | Book Whole | ||
Year | 2006 | Publication | 1st CVC Internal Workshop Computer Vision: Progress of Research and Development, | Abbreviated Journal | |
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Publisher | Place of Publication | Editor | J. Llados (ed.), | ||
Language | Summary Language | Original Title | |||
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Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 84-933652-8-9 | Medium | ||
Area | Expedition | Conference | CVCRD | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ Lla2006b | Serial | 766 | ||
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Author | Partha Pratim Roy; Eduard Vazquez; Josep Llados; Ramon Baldrich; Umapada Pal | ||||
Title | A System to Retrieve Text/Symbols from Color Maps using Connected Component and Skeleton Analysis | Type | Conference Article | ||
Year | 2007 | Publication | Seventh IAPR International Workshop on Graphics Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 79–78 | ||
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Address | Curitiba (Brasil) | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | J. Llados, W. Liu, J.M. Ogier | ||
Language | Summary Language | Original Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | GREC | ||
Notes | CAT; DAG;CIC | Approved | no | ||
Call Number | CAT @ cat @ RVL2007 | Serial | 836 | ||
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Author | Joan Mas; J.A. Jorge; Gemma Sanchez; Josep Llados | ||||
Title | Describing and Parising Hand-Drawn Sketches using a Syntactic Approach | Type | Conference Article | ||
Year | 2007 | Publication | Seventh IAPR International Workshop on Graphics Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 61–62 | ||
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Address | Curitiba (Brasil) | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | J. Llados, W. Liu, J.M. Ogier | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | GREC | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ MJS2007 | Serial | 845 | ||
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