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Author  |
J.M. Sanchez; X. Binefa; J.R. Kender |
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Title |
Multiple Feature Temporal Models for Object Detection in Video. |
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2002 |
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Proceeding of the International Conference on Multimedia and Expo ICME 2002 |
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Lausanne |
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no |
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Admin @ si @ SBK2002b |
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299 |
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Author |
J.M. Sanchez; X. Binefa |
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Title |
Automatic digital TV commercial recognition. |
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Miscellaneous |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes, 1: 313–320 |
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Bilbao. |
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Admin @ si @ SaV1999 |
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181 |
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Author |
J.M. Sanchez; X. Binefa |
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Title |
Semantics from motion in news videos. |
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Miscellaneous |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:79–84. |
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Admin @ si @ SBi2001 |
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210 |
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Author |
J.M. Sanchez; X. Binefa |
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Title |
Color Normalization for Appearance Based Recognition of Video Key-frames. |
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Conference Article |
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2000 |
Publication |
15 th International Conference on Pattern Recognition |
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1 |
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815-818 |
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Barcelona. |
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ICPR |
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no |
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Call Number |
Admin @ si @ SaB2000 |
Serial |
220 |
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Author |
J.M. Sanchez; X. Binefa |
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Title |
Color normalization for digital video processing |
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Report |
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1999 |
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CVC Technical Report #37 |
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CVC (UAB) |
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no |
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Admin @ si @ SaB1999 |
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525 |
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Author |
J.M. Sanchez |
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Title |
Semantic retrieval from digital video libraries in the TV commercials domain |
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Report |
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1999 |
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CVC Technical Report #29 |
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CVC (UAB) |
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no |
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Admin @ si @ San1999 |
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191 |
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Author |
J.L.Bruguera; R.Casado; M.Martinez; I.Corral; Enric Marti; L.A.Branda |
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Title |
El apoyo institucional como elemento favorecedor de la coordinación docente: experiencias en diferentes universidades |
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2009 |
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Revista Red-U |
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IAM |
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no |
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Call Number |
IAM @ iam @ BCM2009 |
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1490 |
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Author |
J.L. Pech-Pacheco; J. Alvarez-Borrego; Gabriel Cristobal; Matthias S. Keil |
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Title |
Automatic object identification irrespective to geometric changes |
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2003 |
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Optical Engineering, 42(2): 551–559 (IF: 0.877) |
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Admin @ si @ PAC2003 |
Serial |
632 |
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Author |
J.Kuhn; A.Nussbaumer; J.Pirker; Dimosthenis Karatzas; A. Pagani; O.Conlan; M.Memmel; C.M.Steiner; C.Gutl; D.Albert; Andreas Dengel |
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Title |
Advancing Physics Learning Through Traversing a Multi-Modal Experimentation Space |
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Conference Article |
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2015 |
Publication |
Workshop Proceedings on the 11th International Conference on Intelligent Environments |
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19 |
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Pages |
373-380 |
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Abstract |
Translating conceptual knowledge into real world experiences presents a significant educational challenge. This position paper presents an approach that supports learners in moving seamlessly between conceptual learning and their application in the real world by bringing physical and virtual experiments into everyday settings. Learners are empowered in conducting these situated experiments in a variety of physical settings by leveraging state of the art mobile, augmented reality, and virtual reality technology. A blend of mobile-based multi-sensory physical experiments, augmented reality and enabling virtual environments can allow learners to bridge their conceptual learning with tangible experiences in a completely novel manner. This approach focuses on the learner by applying self-regulated personalised learning techniques, underpinned by innovative pedagogical approaches and adaptation techniques, to ensure that the needs and preferences of each learner are catered for individually. |
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Praga; Chzech Republic; July 2015 |
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IE |
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Notes |
DAG; 600.077 |
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no |
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Call Number |
Admin @ si @ KNP2015 |
Serial |
2694 |
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Author |
J.A.Perez; Enric Marti; Juan J.Villanueva |
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Title |
Interfase de Usuario de Entrada de Datos 3D en un CAD de Cartografía Urbana a partir de Pares Estereoscópicos |
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Year |
1992 |
Publication |
II Congreso Español de Informática Gráfica |
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47-60 |
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CEIG |
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IAM;ISE |
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no |
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IAM @ iam @ PVM1992 |
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1624 |
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Author |
J. Weickert; Bart M. Ter Haar Romeny; Antonio Lopez; W. Van Enk |
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Title |
Orientation Analysis by Coherence-Enhancing Diffusion. |
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Miscellaneous |
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1997 |
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Proc. of the Real World Computing Symposium. |
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ADAS |
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ADAS @ adas @ WTL1997 |
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211 |
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Author |
J. Varona; Jordi Gonzalez; Xavier Roca; Juan J. Villanueva |
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Title |
Appearance Tracking for Video Surveillance |
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Miscellaneous |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:1041–1048 |
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Springer-Verlag |
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ISE |
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ISE @ ise @ VGR2003b |
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425 |
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Author |
J. Suri; S. Singh; S. Laxminarayan; R. Cesar; H. Jelinek; Petia Radeva; B. Roysam; Ch. Stewart; K. Frizche; J. Williams; H. Tek |
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Title |
A Note on Future Research in Vascular and Plaque Segmentation |
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Miscellaneous |
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2003 |
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Angiography and Plaque Imaging: Advanced Segmentation Techniques, Editorial: CRC, pp.501–522, ISBN: 0849317401 |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ SSL2003 |
Serial |
419 |
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Author |
J. Stöttinger; A. Hanbury; N. Sebe; Theo Gevers |
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Title |
Spars Color Interest Points for Image Retrieval and Object Categorization |
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2012 |
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IEEE Transactions on Image Processing |
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TIP |
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21 |
Issue |
5 |
Pages |
2681-2692 |
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Abstract |
Impact factor 2010: 2.92
IF 2011/2012?: 3.32
Interest point detection is an important research area in the field of image processing and computer vision. In particular, image retrieval and object categorization heavily rely on interest point detection from which local image descriptors are computed for image matching. In general, interest points are based on luminance, and color has been largely ignored. However, the use of color increases the distinctiveness of interest points. The use of color may therefore provide selective search reducing the total number of interest points used for image matching. This paper proposes color interest points for sparse image representation. To reduce the sensitivity to varying imaging conditions, light-invariant interest points are introduced. Color statistics based on occurrence probability lead to color boosted points, which are obtained through saliency-based feature selection. Furthermore, a principal component analysis-based scale selection method is proposed, which gives a robust scale estimation per interest point. From large-scale experiments, it is shown that the proposed color interest point detector has higher repeatability than a luminance-based one. Furthermore, in the context of image retrieval, a reduced and predictable number of color features show an increase in performance compared to state-of-the-art interest points. Finally, in the context of object recognition, for the Pascal VOC 2007 challenge, our method gives comparable performance to state-of-the-art methods using only a small fraction of the features, reducing the computing time considerably. |
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1057-7149 |
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ALTRES;ISE |
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Admin @ si @ SHS2012 |
Serial |
1847 |
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Author |
J. Queralt |
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Title |
Un metode de vectoritzacio basat en la correspondencia de contorns i en la Teoria de Grafs |
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2000 |
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CVC Technical Report #39 |
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CVC (UAB) |
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Admin @ si @ Que2000 |
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340 |
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