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Author (down) Jose Carlos Rubio edit  openurl
  Title Graph matching based on graphical models with application to vehicle tracking and classification at night Type Report
  Year 2009 Publication CVC Technical Report Abbreviated Journal  
  Volume 144 Issue Pages  
  Keywords  
  Abstract  
  Address  
  Corporate Author Computer Vision Center Thesis Master's thesis  
  Publisher Place of Publication Bellaterra, Barcelona 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 CIC Approved no  
  Call Number Admin @ si @ Rub2009 Serial 2398  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados edit  openurl
  Title Automatic Interpretation of Proofreading Sketches Type Miscellaneous
  Year 2006 Publication 3rd Eurographics Workshop on Sketch Based Interfaces and Modeling (SBIM´06), 35–42 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Vienna (Austria)  
  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  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RSL2006a Serial 716  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados edit  openurl
  Title Rejection strategies involving classifier combination for handwriting recognition Type Book Chapter
  Year 2007 Publication 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4478:97–104 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Girona (Spain)  
  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  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RSL2007a Serial 777  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados edit  openurl
  Title A Pen-based Interface for Real-time Document Edition Type Conference Article
  Year 2007 Publication 9th International Conference on Document Analysis and Recognition. Abbreviated Journal  
  Volume 2 Issue Pages 939–944  
  Keywords  
  Abstract  
  Address Curitiba (Brazil)  
  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 ICDAR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RSL2007b Serial 883  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados edit  openurl
  Title Categorization of Digital Ink Elements using Spectral Features Type Conference Article
  Year 2007 Publication Seventh IAPR International Workshop on Graphics Recognition Abbreviated Journal  
  Volume Issue Pages 63–64  
  Keywords  
  Abstract  
  Address Curitiba (Brazil)  
  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 Approved no  
  Call Number DAG @ dag @ RSL2007c Serial 888  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados edit  openurl
  Title Categorization of Digital Ink Elements using Spectral Features Type Book Chapter
  Year 2008 Publication Graphics Recognition: Recent Advances and New Opportunities Abbreviated Journal  
  Volume 5046 Issue Pages 188–198  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Springer–Verlag Place of Publication Editor W. Liu, J. Llados, J.M. Ogier  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RSL2008 Serial 1099  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez; Florent Perronnin; Gemma Sanchez; Josep Llados edit  doi
openurl 
  Title Unsupervised writer style adaptation for handwritten word spotting Type Conference Article
  Year 2008 Publication Pattern Recognition. 19th International Conference on, IBM Best Student Paper Award. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Tampa, 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 ICPR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RPS2008 Serial 1077  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez; Florent Perronnin; Gemma Sanchez; Josep Llados edit  url
doi  openurl
  Title Unsupervised writer adaptation of whole-word HMMs with application to word-spotting Type Journal Article
  Year 2010 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 31 Issue 8 Pages 742–749  
  Keywords Word-spotting; Handwriting recognition; Writer adaptation; Hidden Markov model; Document analysis  
  Abstract In this paper we propose a novel approach for writer adaptation in a handwritten word-spotting task. The method exploits the fact that the semi-continuous hidden Markov model separates the word model parameters into (i) a codebook of shapes and (ii) a set of word-specific parameters.

Our main contribution is to employ this property to derive writer-specific word models by statistically adapting an initial universal codebook to each document. This process is unsupervised and does not even require the appearance of the keyword(s) in the searched document. Experimental results show an increase in performance when this adaptation technique is applied. To the best of our knowledge, this is the first work dealing with adaptation for word-spotting. The preliminary version of this paper obtained an IBM Best Student Paper Award at the 19th International Conference on Pattern Recognition.		  
  Address  
  Corporate Author Thesis  
  Publisher Elsevier 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 DAG Approved no  
  Call Number DAG @ dag @ RPS2010 Serial 1290  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez; Florent Perronnin edit  openurl
  Title Local Gradient Histogram Features for Word Spotting in Unconstrained Handwritten Documents Type Book Chapter
  Year 2008 Publication Graphics Recognition: Recent Advances and New Opportunities Abbreviated Journal  
  Volume 5046 Issue Pages 188–198  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor W. Liu, J. Llados, J.M. Ogier  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ RoP2008a Serial 992  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez; Florent Perronnin edit  doi
openurl 
  Title Handwritten word-spotting using hidden Markov models and universal vocabularies Type Journal Article
  Year 2009 Publication Pattern Recognition Abbreviated Journal PR  
  Volume 42 Issue 9 Pages 2103-2116  
  Keywords Word-spotting; Hidden Markov model; Score normalization; Universal vocabulary; Handwriting recognition  
  Abstract Handwritten word-spotting is traditionally viewed as an image matching task between one or multiple query word-images and a set of candidate word-images in a database. This is a typical instance of the query-by-example paradigm. In this article, we introduce a statistical framework for the word-spotting problem which employs hidden Markov models (HMMs) to model keywords and a Gaussian mixture model (GMM) for score normalization. We explore the use of two types of HMMs for the word modeling part: continuous HMMs (C-HMMs) and semi-continuous HMMs (SC-HMMs), i.e. HMMs with a shared set of Gaussians. We show on a challenging multi-writer corpus that the proposed statistical framework is always superior to a traditional matching system which uses dynamic time warping (DTW) for word-image distance computation. A very important finding is that the SC-HMM is superior when labeled training data is scarce—as low as one sample per keyword—thanks to the prior information which can be incorporated in the shared set of Gaussians.  
  Address  
  Corporate Author Thesis  
  Publisher Elsevier Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0031-3203 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ RoP2009 Serial 1053  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez; Florent Perronnin edit  openurl
  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  
  Keywords  
  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 @ RoP2008b Serial 1066  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez; Florent Perronnin edit  openurl
  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  
  Keywords  
  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  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez edit  openurl
  Title Pen-based Interfaces and Recognition: Application to Proofreading Interpretation Type Report
  Year 2006 Publication CVC Technical Report #96 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address CVC (UAB)  
  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  
  Notes Approved no  
  Call Number Admin @ si @ Rod2006 Serial 669  
Permanent link to this record
 
 
Author (down) Jose Antonio Rodriguez edit  openurl
  Title Statistical frameworks and prior information modeling in handwritten word-spotting Type Book Whole
  Year 2009 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract Handwritten word-spotting (HWS) is the pattern analysis task that consists in finding keywords in handwritten document images. So far, HWS has been applied mostly to historical documents in order to build search engines for such image collections. This thesis addresses the problem of word-spotting for detecting important keywords in business documents. This is a first step towards the process of automatic routing of correspondence based on content.

However, the application of traditional HWS techniques fails for this type of documents. As opposed to historical documents, real business documents present a very high variability in terms of writing styles, spontaneous writing, crossed-out words, spelling mistakes, etc. The main goal of this thesis is the development of pattern recognition techniques that lead to a high-performance HWS system for this challenging type of data.

We develop a statistical framework in which word models are expressed in terms of hidden Markov models and the a priori information is encoded in a universal vocabulary of Gaussian codewords. This systems leads to a very robust performance in word-spotting task. We also find that by constraining the word models to the universal vocabulary, the a priori information of the problem of interest can be exploited for developing new contributions. These include a novel writer adaptation method, a system for searching handwritten words by generating typed text images, and a novel model-based similarity between feature vector sequences.		  
  Address Barcelona (Spain)  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Ediciones Graficas Rey Place of Publication Editor Gemma Sanchez;Josep Llados;Florent Perronnin  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ Rod2009 Serial 1266  
Permanent link to this record
 
 
Author (down) Jose A. Garcia; David Masip; Valerio Sbragaglia; Jacopo Aguzzi edit   pdf
openurl 
  Title Automated Identification and Tracking of Nephrops norvegicus (L.) Using Infrared and Monochromatic Blue Light Type Conference Article
  Year 2016 Publication 19th International Conference of the Catalan Association for Artificial Intelligence Abbreviated Journal  
  Volume Issue Pages  
  Keywords computer vision; video analysis; object recognition; tracking; behaviour; social; decapod; Nephrops norvegicus  
  Abstract Automated video and image analysis can be a very efficient tool to analyze
animal behavior based on sociality, especially in hard access environments
for researchers. The understanding of this social behavior can play a key role in the sustainable design of capture policies of many species. This paper proposes the use of computer vision algorithms to identify and track a specific specie, the Norway lobster, Nephrops norvegicus, a burrowing decapod with relevant commercial value which is captured by trawling. These animals can only be captured when are engaged in seabed excursions, which are strongly related with their social behavior.
This emergent behavior is modulated by the day-night cycle, but their social
interactions remain unknown to the scientific community. The paper introduces an identification scheme made of four distinguishable black and white tags (geometric shapes). The project has recorded 15-day experiments in laboratory pools, under monochromatic blue light (472 nm.) and darkness conditions (recorded using Infra Red light). Using this massive image set, we propose a comparative of state-ofthe-art computer vision algorithms to distinguish and track the different animals’ movements. We evaluate the robustness to the high noise presence in the infrared video signals and free out-of-plane rotations due to animal movement. The experiments show promising accuracies under a cross-validation protocol, being adaptable to the automation and analysis of large scale data. In a second contribution, we created an extensive dataset of shapes (46027 different shapes) from four daily experimental video recordings, which will be available to the community.		  
  Address Barcelona; Spain; October 2016  
  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 CCIA  
  Notes OR;MV; Approved no  
  Call Number Admin @ si @ GMS2016 Serial 2816  
Permanent link to this record
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