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Author | Nicola Bellotto; Eric Sommerlade; Ben Benfold; Charles Bibby; I. Reid; Daniel Roth; Luc Van Gool; Carles Fernandez; Jordi Gonzalez | ||||
Title | A Distributed Camera System for Multi-Resolution Surveillance | Type | Conference Article | ||
Year | 2009 | Publication | 3rd ACM/IEEE International Conference on Distributed Smart Cameras | Abbreviated Journal | |
Volume | Issue | Pages | |||
Keywords | 10.1109/ICDSC.2009.5289413 | ||||
Abstract | We describe an architecture for a multi-camera, multi-resolution surveillance system. The aim is to support a set of distributed static and pan-tilt-zoom (PTZ) cameras and visual tracking algorithms, together with a central supervisor unit. Each camera (and possibly pan-tilt device) has a dedicated process and processor. Asynchronous interprocess communications and archiving of data are achieved in a simple and effective way via a central repository, implemented using an SQL database. Visual tracking data from static views are stored dynamically into tables in the database via client calls to the SQL server. A supervisor process running on the SQL server determines if active zoom cameras should be dispatched to observe a particular target, and this message is effected via writing demands into another database table. We show results from a real implementation of the system comprising one static camera overviewing the environment under consideration and a PTZ camera operating under closed-loop velocity control, which uses a fast and robust level-set-based region tracker. Experiments demonstrate the effectiveness of our approach and its feasibility to multi-camera systems for intelligent surveillance. | ||||
Address | Como, Italy | ||||
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Area | Expedition | Conference ![]() |
ICDSC | ||
Notes | Approved | no | |||
Call Number | ISE @ ise @ BSB2009 | Serial | 1205 | ||
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Author | Partha Pratim Roy; Umapada Pal; Josep Llados | ||||
Title | Morphology Based Handwritten Line Segmentation using Foreground and Background Information | Type | Conference Article | ||
Year | 2008 | Publication | International Conference on Frontiers in Handwriting Recognition, | Abbreviated Journal | |
Volume | Issue | Pages | 241–246 | ||
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Address | Montreal (Canada) | ||||
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Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ RPL2008a | Serial | 1050 | ||
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Author | Jose Antonio Rodriguez; Florent Perronnin | ||||
Title | Local Gradient Histogram Features for Word Spotting in Unconstrained Handwritten Documents | Type | Conference Article | ||
Year | 2008 | Publication | International Conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 7–12 | ||
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Abstract | |||||
Address | Montreal (Canada) | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
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Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | Approved | no | |||
Call Number | Admin @ si @ RoP2008b | Serial | 1066 | ||
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Author | Jose Antonio Rodriguez; Florent Perronnin | ||||
Title | Score Normalization for Hmm-based Word Spotting Using Universal Background Model | Type | Conference Article | ||
Year | 2008 | Publication | International Conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 82–87 | ||
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Abstract | |||||
Address | Montreal (Canada) | ||||
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 ![]() |
ICFHR | ||
Notes | Approved | no | |||
Call Number | Admin @ si @ RoP2008c | Serial | 1067 | ||
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Author | Alicia Fornes; Josep Llados | ||||
Title | A Symbol-dependent Writer Identifcation Approach in Old Handwritten Music Scores | Type | Conference Article | ||
Year | 2010 | Publication | 12th International Conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 634 - 639 | ||
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Abstract | Writer identification consists in determining the writer of a piece of handwriting from a set of writers. In this paper we introduce a symbol-dependent approach for identifying the writer of old music scores, which is based on two symbol recognition methods. The main idea is to use the Blurred Shape Model descriptor and a DTW-based method for detecting, recognizing and describing the music clefs and notes. The proposed approach has been evaluated in a database of old music scores, achieving very high writer identification rates. | ||||
Address | Kolkata (India) | ||||
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 | 978-1-4244-8353-2 | Medium | ||
Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ FoL2010 | Serial | 1321 | ||
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Author | Jon Almazan; David Fernandez; Alicia Fornes; Josep Llados; Ernest Valveny | ||||
Title | A Coarse-to-Fine Approach for Handwritten Word Spotting in Large Scale Historical Documents Collection | Type | Conference Article | ||
Year | 2012 | Publication | 13th International Conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 453-458 | ||
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Abstract | In this paper we propose an approach for word spotting in handwritten document images. We state the problem from a focused retrieval perspective, i.e. locating instances of a query word in a large scale dataset of digitized manuscripts. We combine two approaches, namely one based on word segmentation and another one segmentation-free. The first approach uses a hashing strategy to coarsely prune word images that are unlikely to be instances of the query word. This process is fast but has a low precision due to the errors introduced in the segmentation step. The regions containing candidate words are sent to the second process based on a state of the art technique from the visual object detection field. This discriminative model represents the appearance of the query word and computes a similarity score. In this way we propose a coarse-to-fine approach achieving a compromise between efficiency and accuracy. The validation of the model is shown using a collection of old handwritten manuscripts. We appreciate a substantial improvement in terms of precision regarding the previous proposed method with a low computational cost increase. | ||||
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Language | Summary Language | Original Title | |||
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ISSN | ISBN | 978-1-4673-2262-1 | Medium | ||
Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ AFF2012 | Serial | 1983 | ||
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Author | Marçal Rusiñol; Josep Llados | ||||
Title | The Role of the Users in Handwritten Word Spotting Applications: Query Fusion and Relevance Feedback | Type | Conference Article | ||
Year | 2012 | Publication | 13th International Conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 55-60 | ||
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Abstract | In this paper we present the importance of including the user in the loop in a handwritten word spotting framework. Several off-the-shelf query fusion and relevance feedback strategies have been tested in the handwritten word spotting context. The increase in terms of precision when the user is included in the loop is assessed using two datasets of historical handwritten documents and a baseline word spotting approach based on a bag-of-visual-words model. | ||||
Address | Bari, Italy | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
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Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-1-4673-2262-1 | Medium | ||
Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ RuL2012 | Serial | 2054 | ||
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Author | Volkmar Frinken; Markus Baumgartner; Andreas Fischer; Horst Bunke | ||||
Title | Semi-Supervised Learning for Cursive Handwriting Recognition using Keyword Spotting | Type | Conference Article | ||
Year | 2012 | Publication | 13th International Conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 49-54 | ||
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Abstract | State-of-the-art handwriting recognition systems are learning-based systems that require large sets of training data. The creation of training data, and consequently the creation of a well-performing recognition system, requires therefore a substantial amount of human work. This can be reduced with semi-supervised learning, which uses unlabeled text lines for training as well. Current approaches estimate the correct transcription of the unlabeled data via handwriting recognition which is not only extremely demanding as far as computational costs are concerned but also requires a good model of the target language. In this paper, we propose a different approach that makes use of keyword spotting, which is significantly faster and does not need any language model. In a set of experiments we demonstrate its superiority over existing approaches. | ||||
Address | Bari, Italy | ||||
Corporate Author | Thesis | ||||
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Language | Summary Language | Original Title | |||
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ISSN | 10.1109/ICFHR.2012.268 | ISBN | 978-1-4673-2262-1 | Medium | |
Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ FBF2012 | Serial | 2055 | ||
Permanent link to this record | |||||
Author | Emanuel Indermühle; Volkmar Frinken; Horst Bunke | ||||
Title | Mode Detection in Online Handwritten Documents using BLSTM Neural Networks | Type | Conference Article | ||
Year | 2012 | Publication | 13th International Conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 302-307 | ||
Keywords | |||||
Abstract | Mode detection in online handwritten documents refers to the process of distinguishing different types of contents, such as text, formulas, diagrams, or tables, one from another. In this paper a new approach to mode detection is proposed that uses bidirectional long-short term memory (BLSTM) neural networks. The BLSTM neural network is a novel type of recursive neural network that has been successfully applied in speech and handwriting recognition. In this paper we show that it has the potential to significantly outperform traditional methods for mode detection, which are usually based on stroke classification. As a further advantage over previous approaches, the proposed system is trainable and does not rely on user-defined heuristics. Moreover, it can be easily adapted to new or additional types of modes by just providing the system with new training data. | ||||
Address | Bari, italy | ||||
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 | 978-1-4673-2262-1 | Medium | ||
Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ IFB2012 | Serial | 2056 | ||
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Author | David Fernandez; Josep Llados; Alicia Fornes; R.Manmatha | ||||
Title | On Influence of Line Segmentation in Efficient Word Segmentation in Old Manuscripts | Type | Conference Article | ||
Year | 2012 | Publication | 13th International Conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 763-768 | ||
Keywords | document image processing;handwritten character recognition;history;image segmentation;Spanish document;historical document;line segmentation;old handwritten document;old manuscript;word segmentation;Bifurcation;Dynamic programming;Handwriting recognition;Image segmentation;Measurement;Noise;Skeleton;Segmentation;document analysis;document and text processing;handwriting analysis;heuristics;path-finding | ||||
Abstract | he objective of this work is to show the importance of a good line segmentation to obtain better results in the segmentation of words of historical documents. We have used the approach developed by Manmatha and Rothfeder [1] to segment words in old handwritten documents. In their work the lines of the documents are extracted using projections. In this work, we have developed an approach to segment lines more efficiently. The new line segmentation algorithm tackles with skewed, touching and noisy lines, so it is significantly improves word segmentation. Experiments using Spanish documents from the Marriages Database of the Barcelona Cathedral show that this approach reduces the error rate by more than 20% | ||||
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Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-1-4673-2262-1 | Medium | ||
Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ FLF2012 | Serial | 2200 | ||
Permanent link to this record | |||||
Author | David Fernandez; Pau Riba; Alicia Fornes; Josep Llados | ||||
Title | On the Influence of Key Point Encoding for Handwritten Word Spotting | Type | Conference Article | ||
Year | 2014 | Publication | 14th International Conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 476 - 481 | ||
Keywords | Local descriptors; Interest points; Handwritten documents; Word spotting; Historical document analysis | ||||
Abstract | In this paper we evaluate the influence of the selection of key points and the associated features in the performance of word spotting processes. In general, features can be extracted from a number of characteristic points like corners, contours, skeletons, maxima, minima, crossings, etc. A number of descriptors exist in the literature using different interest point detectors. But the intrinsic variability of handwriting vary strongly on the performance if the interest points are not stable enough. In this paper, we analyze the performance of different descriptors for local interest points. As benchmarking dataset we have used the Barcelona Marriage Database that contains handwritten records of marriages over five centuries. | ||||
Address | Creete Island; Grecia; September 2014 | ||||
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 | 2167-6445 | ISBN | 978-1-4799-4335-7 | Medium | |
Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG; 600.056; 600.061; 602.006; 600.077 | Approved | no | ||
Call Number | Admin @ si @ FRF2014 | Serial | 2460 | ||
Permanent link to this record | |||||
Author | Pau Riba; Jon Almazan; Alicia Fornes; David Fernandez; Ernest Valveny; Josep Llados | ||||
Title | e-Crowds: a mobile platform for browsing and searching in historical demographyrelated manuscripts | Type | Conference Article | ||
Year | 2014 | Publication | 14th International Conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 228 - 233 | ||
Keywords | |||||
Abstract | This paper presents a prototype system running on portable devices for browsing and word searching through historical handwritten document collections. The platform adapts the paradigm of eBook reading, where the narrative is not necessarily sequential, but centered on the user actions. The novelty is to replace digitally born books by digitized historical manuscripts of marriage licenses, so document analysis tasks are required in the browser. With an active reading paradigm, the user can cast queries of people names, so he/she can implicitly follow genealogical links. In addition, the system allows combined searches: the user can refine a search by adding more words to search. As a second contribution, the retrieval functionality involves as a core technology a word spotting module with an unified approach, which allows combined query searches, and also two input modalities: query-by-example, and query-by-string. | ||||
Address | Creete Island; Grecia; September 2014 | ||||
Corporate Author | Thesis | ||||
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Language | Summary Language | Original Title | |||
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Series Volume | Series Issue | Edition | |||
ISSN | 2167-6445 | ISBN | 978-1-4799-4335-7 | Medium | |
Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG; 600.056; 600.045; 600.061; 602.006; 600.077 | Approved | no | ||
Call Number | Admin @ si @ RAF2014 | Serial | 2463 | ||
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Author | Arnau Baro; Pau Riba; Alicia Fornes | ||||
Title | Towards the recognition of compound music notes in handwritten music scores | Type | Conference Article | ||
Year | 2016 | Publication | 15th international conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | The recognition of handwritten music scores still remains an open problem. The existing approaches can only deal with very simple handwritten scores mainly because of the variability in the handwriting style and the variability in the composition of groups of music notes (i.e. compound music notes). In this work we focus on this second problem and propose a method based on perceptual grouping for the recognition of compound music notes. Our method has been tested using several handwritten music scores of the CVC-MUSCIMA database and compared with a commercial Optical Music Recognition (OMR) software. Given that our method is learning-free, the obtained results are promising. | ||||
Address | Shenzhen; China; October 2016 | ||||
Corporate Author | Thesis | ||||
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Series Volume | Series Issue | Edition | |||
ISSN | 2167-6445 | ISBN | Medium | ||
Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG; 600.097 | Approved | no | ||
Call Number | Admin @ si @ BRF2016 | Serial | 2903 | ||
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Author | Veronica Romero; Alicia Fornes; Enrique Vidal; Joan Andreu Sanchez | ||||
Title | Using the MGGI Methodology for Category-based Language Modeling in Handwritten Marriage Licenses Books | Type | Conference Article | ||
Year | 2016 | Publication | 15th international conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | Handwritten marriage licenses books have been used for centuries by ecclesiastical and secular institutions to register marriages. The information contained in these historical documents is useful for demography studies and
genealogical research, among others. Despite the generally simple structure of the text in these documents, automatic transcription and semantic information extraction is difficult due to the distinct and evolutionary vocabulary, which is composed mainly of proper names that change along the time. In previous works we studied the use of category-based language models to both improve the automatic transcription accuracy and make easier the extraction of semantic information. Here we analyze the main causes of the semantic errors observed in previous results and apply a Grammatical Inference technique known as MGGI to improve the semantic accuracy of the language model obtained. Using this language model, full handwritten text recognition experiments have been carried out, with results supporting the interest of the proposed approach. |
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Address | Shenzhen; China; October 2016 | ||||
Corporate Author | Thesis | ||||
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Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG; 600.097; 602.006 | Approved | no | ||
Call Number | Admin @ si @ RFV2016 | Serial | 2909 | ||
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Author | Jialuo Chen; Pau Riba; Alicia Fornes; Juan Mas; Josep Llados; Joana Maria Pujadas-Mora | ||||
Title | Word-Hunter: A Gamesourcing Experience to Validate the Transcription of Historical Manuscripts | Type | Conference Article | ||
Year | 2018 | Publication | 16th International Conference on Frontiers in Handwriting Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 528-533 | ||
Keywords | Crowdsourcing; Gamification; Handwritten documents; Performance evaluation | ||||
Abstract | Nowadays, there are still many handwritten historical documents in archives waiting to be transcribed and indexed. Since manual transcription is tedious and time consuming, the automatic transcription seems the path to follow. However, the performance of current handwriting recognition techniques is not perfect, so a manual validation is mandatory. Crowdsourcing is a good strategy for manual validation, however it is a tedious task. In this paper we analyze experiences based in gamification
in order to propose and design a gamesourcing framework that increases the interest of users. Then, we describe and analyze our experience when validating the automatic transcription using the gamesourcing application. Moreover, thanks to the combination of clustering and handwriting recognition techniques, we can speed up the validation while maintaining the performance. |
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Address | Niagara Falls, USA; August 2018 | ||||
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Area | Expedition | Conference ![]() |
ICFHR | ||
Notes | DAG; 600.097; 603.057; 600.121 | Approved | no | ||
Call Number | Admin @ si @ CRF2018 | Serial | 3169 | ||
Permanent link to this record |