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Author David Fernandez; Josep Llados; Alicia Fornes
Title (up) A graph-based approach for segmenting touching lines in historical handwritten documents Type Journal Article
Year 2014 Publication International Journal on Document Analysis and Recognition Abbreviated Journal IJDAR
Volume 17 Issue 3 Pages 293-312
Keywords Text line segmentation; Handwritten documents; Document image processing; Historical document analysis
Abstract Text line segmentation in handwritten documents is an important task in the recognition of historical documents. Handwritten document images contain text lines with multiple orientations, touching and overlapping characters between consecutive text lines and different document structures, making line segmentation a difficult task. In this paper, we present a new approach for handwritten text line segmentation solving the problems of touching components, curvilinear text lines and horizontally overlapping components. The proposed algorithm formulates line segmentation as finding the central path in the area between two consecutive lines. This is solved as a graph traversal problem. A graph is constructed using the skeleton of the image. Then, a path-finding algorithm is used to find the optimum path between text lines. The proposed algorithm has been evaluated on a comprehensive dataset consisting of five databases: ICDAR2009, ICDAR2013, UMD, the George Washington and the Barcelona Marriages Database. The proposed method outperforms the state-of-the-art considering the different types and difficulties of the benchmarking data.
Address
Corporate Author Thesis
Publisher Springer Berlin Heidelberg Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1433-2833 ISBN Medium
Area Expedition Conference
Notes DAG; 600.056; 600.061; 602.006; 600.077 Approved no
Call Number Admin @ si @ FLF2014 Serial 2459
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Author Josep Llados; Enric Marti
Title (up) A graph-edit algorithm for hand-drawn graphical document recognition and their automatic introduction into CAD systems Type Journal Article
Year 1999 Publication Machine Graphics & Vision Abbreviated Journal
Volume 8 Issue Pages 195-211
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Address
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Notes DAG;IAM; Approved no
Call Number IAM @ iam @ LIM1999 Serial 1568
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Author Josep Llados; Enric Marti
Title (up) A graph-edit algorithm for hand-drawn graphical document recognition and their automatic introduction into CAD systems. Type Miscellaneous
Year 1999 Publication Machine Graphics & Vision, 8(2):195–211. Abbreviated Journal
Volume Issue Pages
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Address
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Notes DAG Approved no
Call Number DAG @ dag @ LlM1999a Serial 187
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Author Cristhian A. Aguilera-Carrasco; Luis Felipe Gonzalez-Böhme; Francisco Valdes; Francisco Javier Quitral Zapata; Bogdan Raducanu
Title (up) A Hand-Drawn Language for Human–Robot Collaboration in Wood Stereotomy Type Journal Article
Year 2023 Publication IEEE Access Abbreviated Journal ACCESS
Volume 11 Issue Pages 100975 - 100985
Keywords
Abstract This study introduces a novel, hand-drawn language designed to foster human-robot collaboration in wood stereotomy, central to carpentry and joinery professions. Based on skilled carpenters’ line and symbol etchings on timber, this language signifies the location, geometry of woodworking joints, and timber placement within a framework. A proof-of-concept prototype has been developed, integrating object detectors, keypoint regression, and traditional computer vision techniques to interpret this language and enable an extensive repertoire of actions. Empirical data attests to the language’s efficacy, with the successful identification of a specific set of symbols on various wood species’ sawn surfaces, achieving a mean average precision (mAP) exceeding 90%. Concurrently, the system can accurately pinpoint critical positions that facilitate robotic comprehension of carpenter-indicated woodworking joint geometry. The positioning error, approximately 3 pixels, meets industry standards.
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Publisher Place of Publication Editor
Language Summary Language Original Title
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Notes LAMP Approved no
Call Number Admin @ si @ AGV2023 Serial 3969
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Author Agata Lapedriza; David Masip; Jordi Vitria
Title (up) A Hierarchical Approach for Multi-task Logistic Regression Type Conference Article
Year 2007 Publication 3rd Iberian Conference on Pattern Recognition and Image Analysis Abbreviated Journal
Volume 4478 Issue Pages 258–265
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Abstract
Address Girona (Spain)
Corporate Author Thesis
Publisher Place of Publication Editor J. Marti et al.
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title LNCS
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference IbPRIA
Notes OR; MV Approved no
Call Number BCNPCL @ bcnpcl @ LMV2007a Serial 902
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Author Francesco Ciompi; Oriol Pujol; Carlo Gatta; Xavier Carrillo; Josepa Mauri; Petia Radeva
Title (up) A Holistic Approach for the Detection of Media-Adventitia Border in IVUS Type Conference Article
Year 2011 Publication 14th International Conference on Medical Image Computing and Computer Assisted Intervention Abbreviated Journal
Volume 6893 Issue Pages 401-408
Keywords
Abstract In this paper we present a methodology for the automatic detection of media-adventitia border (MAb) in Intravascular Ultrasound. A robust computation of the MAb is achieved through a holistic approach where the position of the MAb with respect to other tissues of the vessel is used. A learned quality measure assures that the resulting MAb is optimal with respect to all other tissues. The mean distance error computed through a set of 140 images is 0.2164 (±0.1326) mm.
Address Toronto, Canada
Corporate Author Thesis
Publisher Springer Berlin Heidelberg Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title LNCS
Series Volume Series Issue Edition
ISSN 0302-9743 ISBN 978-3-642-23625-9 Medium
Area Expedition Conference MICCAI
Notes MILAB;HuPBA Approved no
Call Number Admin @ si @ CPG2011 Serial 1739
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Author Josep Llados; Enric Marti; Jaime Lopez-Krahe
Title (up) A Hough-based method for hatched pattern detection in maps and diagrams Type Conference Article
Year 1999 Publication Proceeding of the Fifth Int. Conf. Document Analysis and Recognition ICDAR ’99 Abbreviated Journal
Volume Issue Pages 479-482
Keywords
Abstract A hatched area is characterized by a set of parallel straight lines placed at regular intervals. In this paper, a Hough-based schema is introduced to recognize hatched areas in technical documents from attributed graph structures representing the document once it has been vectorized. Defining a Hough-based transform from a graph instead of the raster image allows to drastically reduce the processing time and, second, to obtain more reliable results because straight lines have already been detected in the vectorization step. A second advantage of the proposed method is that no assumptions must be made a priori about the slope and frequency of hatching patterns, but they are computed in run time for each hatched area.
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Publisher Place of Publication Editor
Language Summary Language Original Title
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Notes DAG;IAM; Approved no
Call Number IAM @ iam @ LIM1999b Serial 1580
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Author Josep Llados; J. Lopez-Krahe; Enric Marti
Title (up) A Hough-based method for hatched pattern detection in maps and diagrams. Type Miscellaneous
Year 1999 Publication Proceedings of the International Conference on Document Analysis and Recognition. Abbreviated Journal
Volume Issue Pages
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Address Bangalore-India
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Publisher Place of Publication Editor
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Area Expedition Conference
Notes DAG Approved no
Call Number DAG @ dag @ LlM1999b Serial 1
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Author Jordi Gonzalez; X. Varona; Xavier Roca; Juan J. Villanueva
Title (up) A Human Action Comparison Framework for Motion Understanding Type Miscellaneous
Year 2003 Publication Abbreviated Journal
Volume Issue Pages
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Abstract
Address Palma de Mallorca, Spain
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Publisher Place of Publication Editor
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Notes ISE Approved no
Call Number ISE @ ise @ GVR2003e Serial 361
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Author Jordi Gonzalez; J. Varona; Xavier Roca; Juan J. Villanueva
Title (up) A Human Action Comparison Framework for Motion Understanding Type Miscellaneous
Year 2003 Publication Frontiers in Artificial Intelligence and Applications 100, 331–340 Abbreviated Journal
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Notes ISE Approved no
Call Number ISE @ ise @ GVR2003c Serial 389
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Author Albert Gordo; Jaume Gibert; Ernest Valveny; Marçal Rusiñol
Title (up) A Kernel-based Approach to Document Retrieval Type Conference Article
Year 2010 Publication 9th IAPR International Workshop on Document Analysis Systems Abbreviated Journal
Volume Issue Pages 377–384
Keywords
Abstract In this paper we tackle the problem of document image retrieval by combining a similarity measure between documents and the probability that a given document belongs to a certain class. The membership probability to a specific class is computed using Support Vector Machines in conjunction with similarity measure based kernel applied to structural document representations. In the presented experiments, we use different document representations, both visual and structural, and we apply them to a database of historical documents. We show how our method based on similarity kernels outperforms the usual distance-based retrieval.
Address Boston; USA;
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN 978-1-60558-773-8 Medium
Area Expedition Conference DAS
Notes DAG Approved no
Call Number DAG @ dag @ GGV2010 Serial 1431
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Author Alicia Fornes; Volkmar Frinken; Andreas Fischer; Jon Almazan; G. Jackson; Horst Bunke
Title (up) A Keyword Spotting Approach Using Blurred Shape Model-Based Descriptors Type Conference Article
Year 2011 Publication Proceedings of the 2011 Workshop on Historical Document Imaging and Processing Abbreviated Journal
Volume Issue Pages 83-90
Keywords
Abstract The automatic processing of handwritten historical documents is considered a hard problem in pattern recognition. In addition to the challenges given by modern handwritten data, a lack of training data as well as effects caused by the degradation of documents can be observed. In this scenario, keyword spotting arises to be a viable solution to make documents amenable for searching and browsing. For this task we propose the adaptation of shape descriptors used in symbol recognition. By treating each word image as a shape, it can be represented using the Blurred Shape Model and the De-formable Blurred Shape Model. Experiments on the George Washington database demonstrate that this approach is able to outperform the commonly used Dynamic Time Warping approach.
Address
Corporate Author Thesis
Publisher ACM Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN 978-1-4503-0916-5 Medium
Area Expedition Conference HIP
Notes DAG Approved no
Call Number Admin @ si @ FFF2011a Serial 1823
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Author Fernando Vilariño; Dimosthenis Karatzas
Title (up) A Living Lab approach for Citizen Science in Libraries Type Conference Article
Year 2016 Publication 1st International ECSA Conference Abbreviated Journal
Volume Issue Pages
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Address Berlin; Germany; May 2016
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Publisher Place of Publication Editor
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Area Expedition Conference ECSA
Notes MV; DAG; 600.084; 600.097;SIAI Approved no
Call Number Admin @ si @ViK2016 Serial 2804
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Author Michael Holte; Bhaskar Chakraborty; Jordi Gonzalez; Thomas B. Moeslund
Title (up) A Local 3D Motion Descriptor for Multi-View Human Action Recognition from 4D Spatio-Temporal Interest Points Type Journal Article
Year 2012 Publication IEEE Journal of Selected Topics in Signal Processing Abbreviated Journal J-STSP
Volume 6 Issue 5 Pages 553-565
Keywords
Abstract In this paper, we address the problem of human action recognition in reconstructed 3-D data acquired by multi-camera systems. We contribute to this field by introducing a novel 3-D action recognition approach based on detection of 4-D (3-D space $+$ time) spatio-temporal interest points (STIPs) and local description of 3-D motion features. STIPs are detected in multi-view images and extended to 4-D using 3-D reconstructions of the actors and pixel-to-vertex correspondences of the multi-camera setup. Local 3-D motion descriptors, histogram of optical 3-D flow (HOF3D), are extracted from estimated 3-D optical flow in the neighborhood of each 4-D STIP and made view-invariant. The local HOF3D descriptors are divided using 3-D spatial pyramids to capture and improve the discrimination between arm- and leg-based actions. Based on these pyramids of HOF3D descriptors we build a bag-of-words (BoW) vocabulary of human actions, which is compressed and classified using agglomerative information bottleneck (AIB) and support vector machines (SVMs), respectively. Experiments on the publicly available i3DPost and IXMAS datasets show promising state-of-the-art results and validate the performance and view-invariance of the approach.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1932-4553 ISBN Medium
Area Expedition Conference
Notes ISE Approved no
Call Number Admin @ si @ HCG2012 Serial 1994
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Author Anonymous
Title (up) A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors Type Journal
Year 2006 Publication IEEE Transactions on Geoscience and Remote Sensing, 44(6): 1683–1691 Abbreviated Journal
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Notes Approved no
Call Number CAT @ cat @ GOF2006 Serial 650
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