|
Records |
Links |
|
Author |
Miguel Angel Bautista; Oriol Pujol; Xavier Baro; Sergio Escalera |
![goto web page url](img/www.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Introducing the Separability Matrix for Error Correcting Output Codes Coding |
Type |
Conference Article |
|
Year |
2011 |
Publication |
10th International Conference on Multiple Classifier Systems |
Abbreviated Journal |
|
|
|
Volume |
6713 |
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
227-236 |
|
|
Keywords |
|
|
|
Abstract |
Error Correcting Output Codes (ECOC) have demonstrate to be a powerful tool for treating multi-class problems. Nevertheless, predefined ECOC designs may not benefit from Error-correcting principles for particular multi-class data. In this paper, we introduce the Separability matrix as a tool to study and enhance designs for ECOC coding. In addition, a novel problem-dependent coding design based on the Separability matrix is tested over a wide set of challenging multi-class problems, obtaining very satisfactory results. |
|
|
Address |
Napoles, Italy |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
Springer-Verlag Berlin, Heidelberg |
Place of Publication |
|
Editor |
Carlo Sansone; Josef Kittler; Fabio Roli |
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
0302-9743 |
ISBN |
978-3-642-21556-8 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
MCS |
|
|
Notes |
MILAB; OR;HuPBA;MV |
Approved |
no |
|
|
Call Number |
Admin @ si @ BPB2011b |
Serial |
1887 |
|
Permanent link to this record |
|
|
|
|
Author |
Ruth Aylett; Ginevra Castellano; Bogdan Raducanu; Ana Paiva; Marc Hanheide |
![goto web page url](img/www.gif)
![find book details (via ISBN) isbn](img/isbn.gif)
|
|
Title |
Long-term socially perceptive and interactive robot companions: challenges and future perspectives |
Type |
Conference Article |
|
Year |
2011 |
Publication |
13th International Conference on Multimodal Interaction |
Abbreviated Journal |
|
|
|
Volume |
|
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
323-326 |
|
|
Keywords |
human-robot interaction, multimodal interaction, social robotics |
|
|
Abstract |
This paper gives a brief overview of the challenges for multi-model perception and generation applied to robot companions located in human social environments. It reviews the current position in both perception and generation and the immediate technical challenges and goes on to consider the extra issues raised by embodiment and social context. Finally, it briefly discusses the impact of systems that must function continually over months rather than just for a few hours. |
|
|
Address |
Alicante |
|
|
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 |
978-1-4503-0641-6 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
ICMI |
|
|
Notes |
OR;MV |
Approved |
no |
|
|
Call Number |
Admin @ si @ ACR2011 |
Serial |
1888 |
|
Permanent link to this record |
|
|
|
|
Author |
Fadi Dornaika; Alireza Bosaghzadeh; Bogdan Raducanu |
![download PDF file pdf](img/file_PDF.gif)
|
|
Title |
LSDA Solution Schemes for Modelless 3D Head Pose Estimation |
Type |
Conference Article |
|
Year |
2012 |
Publication |
IEEE Workshop on the Applications of Computer Vision |
Abbreviated Journal |
|
|
|
Volume |
|
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
393-398 |
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
Breckenridge; 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 |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
WACV |
|
|
Notes |
OR;MV |
Approved |
no |
|
|
Call Number |
Admin @ si @ DBR2012 |
Serial |
1889 |
|
Permanent link to this record |
|
|
|
|
Author |
Bogdan Raducanu; Fadi Dornaika |
![download PDF file pdf](img/file_PDF.gif)
![find book details (via ISBN) isbn](img/isbn.gif)
|
|
Title |
Appearance-based Face Recognition Using A Supervised Manifold Learning Framework |
Type |
Conference Article |
|
Year |
2012 |
Publication |
IEEE Workshop on the Applications of Computer Vision |
Abbreviated Journal |
|
|
|
Volume |
|
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
465-470 |
|
|
Keywords |
|
|
|
Abstract |
Many natural image sets, depicting objects whose appearance is changing due to motion, pose or light variations, can be considered samples of a low-dimension nonlinear manifold embedded in the high-dimensional observation space (the space of all possible images). The main contribution of our work is represented by a Supervised Laplacian Eigemaps (S-LE) algorithm, which exploits the class label information for mapping the original data in the embedded space. Our proposed approach benefits from two important properties: i) it is discriminative, and ii) it adaptively selects the neighbors of a sample without using any predefined neighborhood size. Experiments were conducted on four face databases and the results demonstrate that the proposed algorithm significantly outperforms many linear and non-linear embedding techniques. Although we've focused on the face recognition problem, the proposed approach could also be extended to other category of objects characterized by large variance in their appearance. |
|
|
Address |
Breckenridge; CO; USA |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
IEEE Xplore |
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
1550-5790 |
ISBN |
978-1-4673-0233-3 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
WACV |
|
|
Notes |
OR;MV |
Approved |
no |
|
|
Call Number |
Admin @ si @ RaD2012d |
Serial |
1890 |
|
Permanent link to this record |
|
|
|
|
Author |
Antonio Hernandez; Carlos Primo; Sergio Escalera |
![goto web page (via DOI) doi](img/doi.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Automatic user interaction correction via Multi-label Graph cuts |
Type |
Conference Article |
|
Year |
2011 |
Publication |
In ICCV 2011 1st IEEE International Workshop on Human Interaction in Computer Vision HICV |
Abbreviated Journal |
|
|
|
Volume |
|
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
1276-1281 |
|
|
Keywords |
|
|
|
Abstract |
Most applications in image segmentation requires from user interaction in order to achieve accurate results. However, user wants to achieve the desired segmentation accuracy reducing effort of manual labelling. In this work, we extend standard multi-label α-expansion Graph Cut algorithm so that it analyzes the interaction of the user in order to modify the object model and improve final segmentation of objects. The approach is inspired in the fact that fast user interactions may introduce some pixel errors confusing object and background. Our results with different degrees of user interaction and input errors show high performance of the proposed approach on a multi-label human limb segmentation problem compared with classical α-expansion algorithm. |
|
|
Address |
|
|
|
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 |
978-1-4673-0062-9 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
HICV |
|
|
Notes |
MILAB; HuPBA |
Approved |
no |
|
|
Call Number |
Admin @ si @ HPE2011 |
Serial |
1892 |
|
Permanent link to this record |
|
|
|
|
Author |
Miguel Reyes; Gabriel Dominguez; Sergio Escalera |
![goto web page url](img/www.gif)
![find book details (via ISBN) isbn](img/isbn.gif)
|
|
Title |
Feature Weighting in Dynamic Time Warping for Gesture Recognition in Depth Data |
Type |
Conference Article |
|
Year |
2011 |
Publication |
1st IEEE Workshop on Consumer Depth Cameras for Computer Vision |
Abbreviated Journal |
|
|
|
Volume |
|
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
1182-1188 |
|
|
Keywords |
|
|
|
Abstract |
We present a gesture recognition approach for depth video data based on a novel Feature Weighting approach within the Dynamic Time Warping framework. Depth features from human joints are compared through video sequences using Dynamic Time Warping, and weights are assigned to features based on inter-intra class gesture variability. Feature Weighting in Dynamic Time Warping is then applied for recognizing begin-end of gestures in data sequences. The obtained results recognizing several gestures in depth data show high performance compared with classical Dynamic Time Warping approach. |
|
|
Address |
|
|
|
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 |
978-1-4673-0062-9 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
CDC4CV |
|
|
Notes |
HuPBA;MILAB |
Approved |
no |
|
|
Call Number |
Admin @ si @ RDE2011 |
Serial |
1893 |
|
Permanent link to this record |
|
|
|
|
Author |
Jorge Bernal; David Vazquez (eds) |
![download PDF file pdf](img/file_PDF.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Computer vision Trends and Challenges |
Type |
Book Whole |
|
Year |
2013 |
Publication |
Computer vision Trends and Challenges |
Abbreviated Journal |
|
|
|
Volume |
|
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
|
|
|
Keywords |
CVCRD; Computer Vision |
|
|
Abstract |
This book contains the papers presented at the Eighth CVC Workshop on Computer Vision Trends and Challenges (CVCR&D'2013). The workshop was held at the Computer Vision Center (Universitat Autònoma de Barcelona), the October 25th, 2013. The CVC workshops provide an excellent opportunity for young researchers and project engineers to share new ideas and knowledge about the progress of their work, and also, to discuss about challenges and future perspectives. In addition, the workshop is the welcome event for new people that recently have joined the institute.
The program of CVCR&D is organized in a single-track single-day workshop. It comprises several sessions dedicated to specific topics. For each session, a doctor working on the topic introduces the general research lines. The PhD students expose their specific research. A poster session will be held for open questions. Session topics cover the current research lines and development projects of the CVC: Medical Imaging, Medical Imaging, Color & Texture Analysis, Object Recognition, Image Sequence Evaluation, Advanced Driver Assistance Systems, Machine Vision, Document Analysis, Pattern Recognition and Applications. We want to thank all paper authors and Program Committee members. Their contribution shows that the CVC has a dynamic, active, and promising scientific community.
We hope you all enjoy this Eighth workshop and we are looking forward to meeting you and new people next year in the Ninth CVCR&D. |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
Jorge Bernal; David Vazquez |
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
978-84-940902-2-6 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
|
Approved |
no |
|
|
Call Number |
ADAS @ adas @ BeV2013 |
Serial |
2339 |
|
Permanent link to this record |
|
|
|
|
Author |
Santiago Segui; Michal Drozdzal; Petia Radeva; Jordi Vitria |
![download PDF file pdf](img/file_PDF.gif)
|
|
Title |
An Integrated Approach to Contextual Face Detection |
Type |
Conference Article |
|
Year |
2012 |
Publication |
1st International Conference on Pattern Recognition Applications and Methods |
Abbreviated Journal |
|
|
|
Volume |
|
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
143-150 |
|
|
Keywords |
|
|
|
Abstract |
Face detection is, in general, based on content-based detectors. Nevertheless, the face is a non-rigid object with well defined relations with respect to the human body parts. In this paper, we propose to take benefit of the context information in order to improve content-based face detections. We propose a novel framework for integrating multiple content- and context-based detectors in a discriminative way. Moreover, we develop an integrated scoring procedure that measures the ’faceness’ of each hypothesis and is used to discriminate the detection results. Our approach detects a higher rate of faces while minimizing the number of false detections, giving an average increase of more than 10% in average precision when comparing it to state-of-the art face detectors |
|
|
Address |
Vilamoura, Algarve, Portugal |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
Springer |
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
ICPRAM |
|
|
Notes |
MILAB; OR;MV |
Approved |
no |
|
|
Call Number |
Admin @ si @ SDR2012 |
Serial |
1895 |
|
Permanent link to this record |
|
|
|
|
Author |
Michal Drozdzal; Santiago Segui; Petia Radeva; Jordi Vitria; Laura Igual |
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
System and Method for Displaying Motility Events in an in Vivo Image Stream |
Type |
Patent |
|
Year |
2011 |
Publication |
US 61/592,786 |
Abbreviated Journal |
|
|
|
Volume |
|
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
|
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
Given Imaging |
|
|
Corporate Author |
US Patent Office |
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 |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
MILAB; OR;MV |
Approved |
no |
|
|
Call Number |
Admin @ si @ DSR2011 |
Serial |
1897 |
|
Permanent link to this record |
|
|
|
|
Author |
Carles Sanchez;F. Javier Sanchez; Antoni Rosell; Debora Gil |
![download PDF file pdf](img/file_PDF.gif)
![goto web page (via DOI) doi](img/doi.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
An illumination model of the trachea appearance in videobronchoscopy images |
Type |
Book Chapter |
|
Year |
2012 |
Publication |
Image Analysis and Recognition |
Abbreviated Journal |
LNCS |
|
|
Volume |
7325 |
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
313-320 |
|
|
Keywords |
Bronchoscopy, tracheal ring, stenosis assesment, trachea appearance model, segmentation |
|
|
Abstract |
Videobronchoscopy is a medical imaging technique that allows interactive navigation inside the respiratory pathways. This imaging modality provides realistic images and allows non-invasive minimal intervention procedures. Tracheal procedures are routinary interventions that require assessment of the percentage of obstructed pathway for injury (stenosis) detection. Visual assessment in videobronchoscopic sequences requires high expertise of trachea anatomy and is prone to human error.
This paper introduces an automatic method for the estimation of steneosed trachea percentage reduction in videobronchoscopic images. We look for tracheal rings , whose deformation determines the degree of obstruction. For ring extraction , we present a ring detector based on an illumination and appearance model. This model allows us to parametrise the ring detection. Finally, we can infer optimal estimation parameters for any video resolution. |
|
|
Address |
Aveiro, Portugal |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
Springer Berlin Heidelberg |
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
Lecture Notes in Computer Science |
Abbreviated Series Title |
LNCS |
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
0302-9743 |
ISBN |
978-3-642-31297-7 |
Medium |
|
|
|
Area |
800 |
Expedition |
|
Conference |
ICIAR |
|
|
Notes |
MV;IAM |
Approved |
no |
|
|
Call Number |
IAM @ iam @ SSR2012 |
Serial |
1898 |
|
Permanent link to this record |
|
|
|
|
Author |
Albert Andaluz; Francesc Carreras; Cristina Santa Marta;Debora Gil |
![download PDF file pdf](img/file_PDF.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Myocardial torsion estimation with Tagged-MRI in the OsiriX platform |
Type |
Conference Article |
|
Year |
2012 |
Publication |
ISBI Workshop on Open Source Medical Image Analysis software |
Abbreviated Journal |
|
|
|
Volume |
|
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
|
|
|
Keywords |
|
|
|
Abstract |
Myocardial torsion (MT) plays a crucial role in the assessment of the functionality of the
left ventricle. For this purpose, the IAM group at the CVC has developed the Harmonic Phase Flow (HPF) plugin for the Osirix DICOM platform . We have validated its funcionalty on sequences acquired using different protocols and including healthy and pathological cases. Results show similar torsion trends for SPAMM acquisitions, with pathological cases introducing expected deviations from the ground truth. Finally, we provide the plugin free of charge at http://iam.cvc.uab.es |
|
|
Address |
Barcelona, Spain |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
IEEE |
Place of Publication |
|
Editor |
Wiro Niessen (Erasmus MC) and Marc Modat (UCL) |
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
ISBI |
|
|
Notes |
IAM |
Approved |
no |
|
|
Call Number |
IAM @ iam @ ACS2012 |
Serial |
1900 |
|
Permanent link to this record |
|
|
|
|
Author |
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate |
![download PDF file pdf](img/file_PDF.gif)
![goto web page (via DOI) doi](img/doi.gif)
|
|
Title |
Evaluation of the Capabilities of Confidence Measures for Assessing Optical Flow Quality |
Type |
Conference Article |
|
Year |
2013 |
Publication |
ICCV Workshop on Computer Vision in Vehicle Technology: From Earth to Mars |
Abbreviated Journal |
|
|
|
Volume |
|
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
624-631 |
|
|
Keywords |
|
|
|
Abstract |
Assessing Optical Flow (OF) quality is essential for its further use in reliable decision support systems. The absence of ground truth in such situations leads to the computation of OF Confidence Measures (CM) obtained from either input or output data. A fair comparison across the capabilities of the different CM for bounding OF error is required in order to choose the best OF-CM pair for discarding points where OF computation is not reliable. This paper presents a statistical probabilistic framework for assessing the quality of a given CM. Our quality measure is given in terms of the percentage of pixels whose OF error bound can not be determined by CM values. We also provide statistical tools for the computation of CM values that ensures a given accuracy of the flow field. |
|
|
Address |
Sydney; Australia; December 2013 |
|
|
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 |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
CVTT:E2M |
|
|
Notes |
IAM; ADAS; 600.044; 600.057; 601.145 |
Approved |
no |
|
|
Call Number |
Admin @ si @ MGH2013b |
Serial |
2351 |
|
Permanent link to this record |
|
|
|
|
Author |
Francesco Ciompi; Rui Hua; Simone Balocco; Marina Alberti; Oriol Pujol; Carles Caus; J. Mauri; Petia Radeva |
![goto web page (via DOI) doi](img/doi.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Learning to Detect Stent Struts in Intravascular Ultrasound |
Type |
Conference Article |
|
Year |
2013 |
Publication |
6th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
|
|
|
Volume |
7887 |
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
575-583 |
|
|
Keywords |
|
|
|
Abstract |
In this paper we tackle the automatic detection of struts elements (metallic braces of a stent device) in Intravascular Ultrasound (IVUS) sequences. The proposed method is based on context-aware classification of IVUS images, where we use Multi-Class Multi-Scale Stacked Sequential Learning (M2SSL). Additionally, we introduce a novel technique to reduce the amount of required contextual features. The comparison with binary and multi-class learning is also performed, using a dataset of IVUS images with struts manually annotated by an expert. The best performing configuration reaches a F-measure F = 63.97% . |
|
|
Address |
Madeira; Portugal; June 2013 |
|
|
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 |
0302-9743 |
ISBN |
978-3-642-38627-5 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
IbPRIA |
|
|
Notes |
MILAB; HuPBA; 605.203; 600.046 |
Approved |
no |
|
|
Call Number |
Admin @ si @ CHB2013 |
Serial |
2349 |
|
Permanent link to this record |
|
|
|
|
Author |
Marçal Rusiñol; V. Poulain d'Andecy; Dimosthenis Karatzas; Josep Llados |
![download PDF file pdf](img/file_PDF.gif)
|
|
Title |
Classification of Administrative Document Images by Logo Identification |
Type |
Conference Article |
|
Year |
2013 |
Publication |
10th IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
|
|
|
Volume |
|
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
|
|
|
Keywords |
|
|
|
Abstract |
This paper is focused on the categorization of administrative document images (such as invoices) based on the recognition of the supplier's graphical logo. Two different methods are proposed, the first one uses a bag-of-visual-words model whereas the second one tries to locate logo images described by the blurred shape model descriptor within documents by a sliding-window technique. Preliminar results are reported with a dataset of real administrative documents. |
|
|
Address |
Bethlehem; PA; USA; August 2013 |
|
|
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 |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
GREC |
|
|
Notes |
DAG; 600.056; 600.045; 605.203 |
Approved |
no |
|
|
Call Number |
Admin @ si @ |
Serial |
2348 |
|
Permanent link to this record |
|
|
|
|
Author |
Anjan Dutta; Josep Llados; Horst Bunke; Umapada Pal |
![download PDF file pdf](img/file_PDF.gif)
![find book details (via ISBN) isbn](img/isbn.gif)
|
|
Title |
A Product Graph Based Method for Dual Subgraph Matching Applied to Symbol Spotting |
Type |
Book Chapter |
|
Year |
2014 |
Publication |
Graphics Recognition. Current Trends and Challenges |
Abbreviated Journal |
|
|
|
Volume |
8746 |
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
|
Pages |
7-11 |
|
|
Keywords |
Product graph; Dual edge graph; Subgraph matching; Random walks; Graph kernel |
|
|
Abstract |
Product graph has been shown as a way for matching subgraphs. This paper reports the extension of the product graph methodology for subgraph matching applied to symbol spotting in graphical documents. Here we focus on the two major limitations of the previous version of the algorithm: (1) spurious nodes and edges in the graph representation and (2) inefficient node and edge attributes. To deal with noisy information of vectorized graphical documents, we consider a dual edge graph representation on the original graph representing the graphical information and the product graph is computed between the dual edge graphs of the pattern graph and the target graph. The dual edge graph with redundant edges is helpful for efficient and tolerating encoding of the structural information of the graphical documents. The adjacency matrix of the product graph locates the pair of similar edges of two operand graphs and exponentiating the adjacency matrix finds similar random walks of greater lengths. Nodes joining similar random walks between two graphs are found by combining different weighted exponentials of adjacency matrices. An experimental investigation reveals that the recall obtained by this approach is quite encouraging. |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
Springer Berlin Heidelberg |
Place of Publication |
|
Editor |
Bart Lamiroy; Jean-Marc Ogier |
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
0302-9743 |
ISBN |
978-3-662-44853-3 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
DAG; 600.077 |
Approved |
no |
|
|
Call Number |
Admin @ si @ DLB2014 |
Serial |
2698 |
|
Permanent link to this record |