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Author |
Miquel Ferrer |
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Title |
Theory and Algorithms on the Median Graph. Application to Graph-based Classification and Clustering |
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Book Whole |
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2008 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Francesc Serratosa Casanelles;Ernest Valveny |
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978-84-935251-7-0 |
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no |
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Admin @ si @ Fer2008 |
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1105 |
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Author |
Sergio Escalera |
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Title |
Coding and Decoding Design of ECOCs for Multi-class Pattern and Object Recognition A |
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Book Whole |
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Year |
2008 |
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PhD Thesis, Universitat de Barcelona-CVC |
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Many real problems require multi-class decisions. In the Pattern Recognition field,
many techniques have been proposed to deal with the binary problem. However,
the extension of many 2-class classifiers to the multi-class case is a hard task. In
this sense, Error-Correcting Output Codes (ECOC) demonstrated to be a powerful
tool to combine any number of binary classifiers to model multi-class problems. But
there are still many open issues about the capabilities of the ECOC framework. In
this thesis, the two main stages of an ECOC design are analyzed: the coding and
the decoding steps. We present different problem-dependent designs. These designs
take advantage of the knowledge of the problem domain to minimize the number
of classifiers, obtaining a high classification performance. On the other hand, we
analyze the ECOC codification in order to define new decoding rules that take full
benefit from the information provided at the coding step. Moreover, as a successful
classification requires a rich feature set, new feature detection/extraction techniques
are presented and evaluated on the new ECOC designs. The evaluation of the new
methodology is performed on different real and synthetic data sets: UCI Machine
Learning Repository, handwriting symbols, traffic signs from a Mobile Mapping System, Intravascular Ultrasound images, Caltech Repository data set or Chaga’s disease
data set. The results of this thesis show that significant performance improvements
are obtained on both traditional coding and decoding ECOC designs when the new
coding and decoding rules are taken into account. |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Editor |
Petia Radeva;Oriol Pujol |
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MILAB; HuPBA |
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no |
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Call Number |
Admin @ si @ Esc2008b |
Serial |
2217 |
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Author |
David Vazquez; Antonio Lopez |
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Title |
Intrusion Classification in Intelligent Video Surveillance Systems |
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Report |
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Year |
2008 |
Publication |
Estudis d'Enginyeria Superior en Informática |
Abbreviated Journal |
UAB |
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Keywords |
Human detection; Car detection; Intrusion detection |
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Abstract |
An intelligent video surveillance system (IVS) is a camera-based installation able to process in real-time the images coming from the cameras. The aim is to automatically warn about different events of interest at the moment they happen. Daview system of Davantis is a com mercial example of IVS system. The problems addressed by any IVS system, and so Daview, are so challenging that none IVS system is perfect, thus, they need continuous improvement. Accordingly, this project aims to study different approaches in order to outperform current Daview performance, in particular, we bet for improving its classification core. We present an in deep study of the state of the art on IVS systems, as well as on how Daview works. Based on that knowledge, we propose four possibilities for improving Daview classification capabilities: improve existent classifiers; improve existing classifiers combination; create new classifiers and create new classifier-based architectures. Our main contribution has been the incorporation of state-of-the-art feature selection and machine learning techniques for the classification tasks, a viewpoint not fully addressed in current Daview system. After a comprehensive quantitative evaluation we will see how one of our proposals clearly outperforms the overall performance of current Daview system. In particular the classification core that we finally propose consists in an AdaBoost One-Against-All architecture that uses appearance and motion features that were already present in current Daview system |
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Bellaterra, Spain |
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PFC |
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ADAS |
Approved |
no |
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Call Number |
ADAS @ adas @ VL2008a |
Serial |
1670 |
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Author |
Xavier Otazu; Maria Vanrell; C. Alejandro Parraga |
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Title |
Multiresolution Wavelet Framework Models Brightness Induction Effects |
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Journal |
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Year |
2008 |
Publication |
Vision Research |
Abbreviated Journal |
VR |
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Volume |
48 |
Issue |
5 |
Pages |
733–751 |
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CIC |
Approved |
no |
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CAT @ cat @ OVP2008a |
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927 |
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Author |
O. Fors; A. Richichi; Xavier Otazu; J. Nuñez |
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Title |
A new wavelet-based approach for the automated treatment of large sets of lunar occultation data |
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2008 |
Publication |
Astronomy and Astrohysics |
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480 |
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Pages |
297–304 |
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CIC |
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no |
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CAT @ cat @ FRO2008 |
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934 |
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Author |
Angel Sappa; Boris X. Vintimilla |
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Title |
Edge Point Linking by Means of Global and Local Schemes |
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Book Chapter |
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Year |
2008 |
Publication |
in Signal Processing for Image Enhancement and Multimedia Processing |
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11 |
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115–125 |
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Springer |
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Editor |
E. Damiani |
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ADAS |
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no |
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ADAS @ adas @ SaV2008 |
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938 |
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Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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Title |
Rank Estimation in 3D Multibody Motion Segmentation |
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Journal Article |
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Year |
2008 |
Publication |
Electronic Letters |
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Volume |
44 |
Issue |
4 |
Pages |
279-280 |
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Abstract |
A novel technique for rank estimation in 3D multibody motion segmentation is proposed. It is based on the study of the frequency spectra of moving rigid objects and does not use or assume a prior knowledge of the objects contained in the scene (i.e. number of objects and motion). The significance of rank estimation on multibody motion segmentation results is shown by using two motion segmentation algorithms over both synthetic and real data. |
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ADAS |
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no |
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ADAS @ adas @ JSL2008a |
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939 |
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Author |
Oriol Pujol; Sergio Escalera; Petia Radeva |
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Title |
An Incremental Node Embedding Technique for Error Correcting Output Codes |
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2008 |
Publication |
Pattern Recognition |
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PR |
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Volume |
41 |
Issue |
2 |
Pages |
713–725 |
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MILAB;HuPBA |
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no |
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BCNPCL @ bcnpcl @ PER2008 |
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942 |
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Author |
David Masip; Jordi Vitria |
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Title |
Shared Feature Extraction for Nearest Neighbor Face Recognition |
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2008 |
Publication |
IEEE Transactions on Neural Networks |
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19 |
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4 |
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586–595 |
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OR;MV |
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BCNPCL @ bcnpcl @ MaV2008 |
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944 |
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Author |
Murad Al Haj |
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Title |
Face Detection in Color Images Using Primitive Shape Features |
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2008 |
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CVC Technical Report #118 |
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Bellaterra (Spain) |
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ISE |
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no |
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Admin @ si @ AlH2008 |
Serial |
945 |
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Author |
Mathieu Nicolas Delalandre; Ernest Valveny; Josep Llados |
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Title |
Performance Evaluation of Symbol Recognition and Spotting Systems: An Overview |
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2008 |
Publication |
CVC Technical Report #117 |
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Bellaterra (Spain) |
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DAG |
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DAG @ dag @ DVL2008a |
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946 |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Title |
Learning to Learn: From Smarts Machines to Intelligent Machines |
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2008 |
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Patter Recognition Letters |
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PRL |
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29 |
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8 |
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1024–1032 |
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OR;MV |
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BCNPCL @ bcnpcl @ RaV2008a |
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950 |
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Author |
Sergio Escalera; David M.J. Tax; Oriol Pujol; Petia Radeva; Robert P.W. Duin |
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Title |
Subclass Problem-Dependent Design for Error-Correcting Output Codes |
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2008 |
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IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30(6):1041–1054 |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ ETP2008 |
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951 |
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Author |
S. Tanimoto; N. Bruining; David Rotger; Petia Radeva; J. Ligthart; R.T. van Domburg; P. W. Serryus |
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Title |
Late Stent Recoil of the Bioabsorbable Everolimus Eluting Coronary Stent and its Relationship with Stent Struts Distribution and Plaque Morphology |
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2008 |
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Journal of the American College of Cardiology, vol. 52(20):1616–1620 |
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Bridgewater, NJ 08807(USA) |
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MILAB |
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BCNPCL @ bcnpcl @ TBR2008 |
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953 |
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Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
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Interpretation of Complex Situations in a Semantic-based Surveillance Framework |
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2008 |
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Signal Processing: Image Communication, Special Issue on Semantic Analysis for Interactive Multimedia Services |
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23 |
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7 |
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554-569 |
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Cognitive vision system; Situation analysis; Applied ontologies |
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The integration of cognitive capabilities in computer vision systems requires both to enable high semantic expressiveness and to deal with high computational costs as large amounts of data are involved in the analysis. This contribution describes a cognitive vision system conceived to automatically provide high-level interpretations of complex real-time situations in outdoor and indoor scenarios, and to eventually maintain communication with casual end users in multiple languages. The main contributions are: (i) the design of an integrative multilevel architecture for cognitive surveillance purposes; (ii) the proposal of a coherent taxonomy of knowledge to guide the process of interpretation, which leads to the conception of a situation-based ontology; (iii) the use of situational analysis for content detection and a progressive interpretation of semantically rich scenes, by managing incomplete or uncertain knowledge, and (iv) the use of such an ontological background to enable multilingual capabilities and advanced end-user interfaces. Experimental results are provided to show the feasibility of the proposed approach. |
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ISE |
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ISE @ ise @ FBR2008 |
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954 |
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