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Author David Aldavert; Ricardo Toledo; Arnau Ramisa; Ramon Lopez de Mantaras edit  url
doi  isbn
openurl 
  Title (down) Efficient Object Pixel-Level Categorization using Bag of Features: Advances in Visual Computing Type Conference Article
  Year 2009 Publication 5th International Symposium on Visual Computing Abbreviated Journal  
  Volume 5875 Issue Pages 44–55  
  Keywords  
  Abstract In this paper we present a pixel-level object categorization method suitable to be applied under real-time constraints. Since pixels are categorized using a bag of features scheme, the major bottleneck of such an approach would be the feature pooling in local histograms of visual words. Therefore, we propose to bypass this time-consuming step and directly obtain the score from a linear Support Vector Machine classifier. This is achieved by creating an integral image of the components of the SVM which can readily obtain the classification score for any image sub-window with only 10 additions and 2 products, regardless of its size. Besides, we evaluated the performance of two efficient feature quantization methods: the Hierarchical K-Means and the Extremely Randomized Forest. All experiments have been done in the Graz02 database, showing comparable, or even better results to related work with a lower computational cost.  
  Address Las Vegas, USA  
  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 978-3-642-10330-8 Medium  
  Area Expedition Conference ISVC  
  Notes ADAS Approved no  
  Call Number Admin @ si @ ATR2009a Serial 1246  
Permanent link to this record
 

 
Author Jordi Gonzalez; Dani Rowe; Juan Andrade; Juan J. Villanueva edit  openurl
  Title (down) Efficient Management of Multiple Agent Tracking Through Observation Handling Type Miscellaneous
  Year 2006 Publication 6th IASTED International Conference on Visualization, Imaging and Image Processing (VIIP´06) Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Palma de Mallorca (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 Approved no  
  Call Number ISE @ ise @ GRA2006 Serial 662  
Permanent link to this record
 

 
Author Marçal Rusiñol; Josep Llados edit  openurl
  Title (down) Efficient Logo Retrieval Through Hashing Shape Context Descriptors Type Conference Article
  Year 2010 Publication 9th IAPR International Workshop on Document Analysis Systems Abbreviated Journal  
  Volume Issue Pages 215–222  
  Keywords  
  Abstract In this paper, we present an approach towards the retrieval of words from graphical document images. In graphical documents, due to presence of multi-oriented characters in non-structured layout, word indexing is a challenging task. The proposed approach uses recognition results of individual components to form character pairs with the neighboring components. An indexing scheme is designed to store the spatial description of components and to access them efficiently. Given a query text word (ascii/unicode format), the character pairs present in it are searched in the document. Next the retrieved character pairs are linked sequentially to form character string. Dynamic programming is applied to find different instances of query words. A string edit distance is used here to match the query word as the objective function. Recognition of multi-scale and multi-oriented character component is done using Support Vector Machine classifier. To consider multi-oriented character strings the features used in the SVM are invariant to character orientation. Experimental results show that the method is efficient to locate a query word from multi-oriented text in graphical documents.  
  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 Medium  
  Area Expedition Conference DAS  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RuL2010b Serial 1434  
Permanent link to this record
 

 
Author Suman Ghosh; Lluis Gomez; Dimosthenis Karatzas; Ernest Valveny edit   pdf
doi  openurl
  Title (down) Efficient indexing for Query By String text retrieval Type Conference Article
  Year 2015 Publication 6th IAPR International Workshop on Camera Based Document Analysis and Recognition CBDAR2015 Abbreviated Journal  
  Volume Issue Pages 1236 - 1240  
  Keywords  
  Abstract This paper deals with Query By String word spotting in scene images. A hierarchical text segmentation algorithm based on text specific selective search is used to find text regions. These regions are indexed per character n-grams present in the text region. An attribute representation based on Pyramidal Histogram of Characters (PHOC) is used to compare text regions with the query text. For generation of the index a similar attribute space based Pyramidal Histogram of character n-grams is used. These attribute models are learned using linear SVMs over the Fisher Vector [1] representation of the images along with the PHOC labels of the corresponding strings.  
  Address Nancy; France; August 2015  
  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 CBDAR  
  Notes DAG; 600.077 Approved no  
  Call Number Admin @ si @ GGK2015 Serial 2693  
Permanent link to this record
 

 
Author Ivan Huerta; Dani Rowe; Jordi Gonzalez; Juan J. Villanueva edit  openurl
  Title (down) Efficient Incorporation of Motionless Foreground Objects for Adaptive Background Segmentation Type Book Chapter
  Year 2006 Publication IV Conference on Articulated Motion and Deformable Objects (AMDO´06), LNCS 4069: 424–433 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Mallorca (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 Approved no  
  Call Number ISE @ ise @ HRG2006a Serial 702  
Permanent link to this record
 

 
Author Fadi Dornaika; Alireza Bosaghzadeh; Bogdan Raducanu edit   pdf
doi  isbn
openurl 
  Title (down) Efficient Graph Construction for Label Propagation based Multi-observation Face Recognition Type Conference Article
  Year 2013 Publication Human Behavior Understanding 4th International Workshop Abbreviated Journal  
  Volume 8212 Issue Pages 124-135  
  Keywords  
  Abstract Workshop on Human Behavior Understanding
Human-machine interaction is a hot topic nowadays in the communities of multimedia and computer vision. In this context, face recognition algorithms (used as primary cue for a person’s identity assessment) work well under controlled conditions but degrade significantly when tested in real-world environments. Recently, graph-based label propagation for multi-observation face recognition was proposed. However, the associated graphs were constructed in an ad-hoc manner (e.g., using the KNN graph) that cannot adapt optimally to the data. In this paper, we propose a novel approach for efficient and adaptive graph construction that can be used for multi-observation face recognition as well as for other recognition problems. Experimental results performed on Honda video face database, show a distinct advantage of the proposed method over the standard graph construction methods.
 
  Address Barcelona  
  Corporate Author Thesis  
  Publisher Springer International Publishing 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 978-3-319-02713-5 Medium  
  Area Expedition Conference HBU  
  Notes OR;MV Approved no  
  Call Number Admin @ si @ DBR2013 Serial 2315  
Permanent link to this record
 

 
Author M.A. Garcia; Angel Sappa edit  openurl
  Title (down) Efficient Generation of Discontinuity-Preserving Adaptive Triangulations from Range Images Type Journal
  Year 2004 Publication IEEE Trans. on Systems, Man, and Cybernetics (Part B), 34(5):2003–2014 (IF: 1.052) Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  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 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number ADAS @ adas @ GaS2004 Serial 457  
Permanent link to this record
 

 
Author Fadi Dornaika; Bogdan Raducanu edit  openurl
  Title (down) Efficient Facial Expression Recognition for Human Robot Interaction Type Conference Article
  Year 2007 Publication Computational and Ambient Intelligence, 9th International Work–Conference on Artificial Neural Networks Abbreviated Journal  
  Volume 4507 Issue Pages 700–708  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference IWANN  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ DoR2007a Serial 792  
Permanent link to this record
 

 
Author Jon Almazan; Albert Gordo; Alicia Fornes; Ernest Valveny edit   pdf
url  isbn
openurl 
  Title (down) Efficient Exemplar Word Spotting Type Conference Article
  Year 2012 Publication 23rd British Machine Vision Conference Abbreviated Journal  
  Volume Issue Pages 67.1- 67.11  
  Keywords  
  Abstract In this paper we propose an unsupervised segmentation-free method for word spotting in document images.
Documents are represented with a grid of HOG descriptors, and a sliding window approach is used to locate the document regions that are most similar to the query. We use the exemplar SVM framework to produce a better representation of the query in an unsupervised way. Finally, the document descriptors are precomputed and compressed with Product Quantization. This offers two advantages: first, a large number of documents can be kept in RAM memory at the same time. Second, the sliding window becomes significantly faster since distances between quantized HOG descriptors can be precomputed. Our results significantly outperform other segmentation-free methods in the literature, both in accuracy and in speed and memory usage.
 
  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 1-901725-46-4 Medium  
  Area Expedition Conference BMVC  
  Notes DAG Approved no  
  Call Number DAG @ dag @ AGF2012 Serial 1984  
Permanent link to this record
 

 
Author Angel Sappa; Mohammad Rouhani edit  doi
isbn  openurl
  Title (down) Efficient Distance Estimation for Fitting Implicit Quadric Surfaces Type Conference Article
  Year 2009 Publication 16th IEEE International Conference on Image Processing Abbreviated Journal  
  Volume Issue Pages 3521–3524  
  Keywords  
  Abstract This paper presents a novel approach for estimating the shortest Euclidean distance from a given point to the corresponding implicit quadric fitting surface. It first estimates the orthogonal orientation to the surface from the given point; then the shortest distance is directly estimated by intersecting the implicit surface with a line passing through the given point according to the estimated orthogonal orientation. The proposed orthogonal distance estimation is easily obtained without increasing computational complexity; hence it can be used in error minimization surface fitting frameworks. Comparisons of the proposed metric with previous approaches are provided to show both improvements in CPU time as well as in the accuracy of the obtained results. Surfaces fitted by using the proposed geometric distance estimation and state of the art metrics are presented to show the viability of the proposed approach.  
  Address Cairo, Egypt  
  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 1522-4880 ISBN 978-1-4244-5653-6 Medium  
  Area Expedition Conference ICIP  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SaR2009 Serial 1232  
Permanent link to this record
 

 
Author Marco Pedersoli; Jordi Gonzalez; Andrew Bagdanov; Xavier Roca edit  doi
openurl 
  Title (down) Efficient Discriminative Multiresolution Cascade for Real-Time Human Detection Applications Type Journal Article
  Year 2011 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 32 Issue 13 Pages 1581-1587  
  Keywords  
  Abstract Human detection is fundamental in many machine vision applications, like video surveillance, driving assistance, action recognition and scene understanding. However in most of these applications real-time performance is necessary and this is not achieved yet by current detection methods.

This paper presents a new method for human detection based on a multiresolution cascade of Histograms of Oriented Gradients (HOG) that can highly reduce the computational cost of detection search without affecting accuracy. The method consists of a cascade of sliding window detectors. Each detector is a linear Support Vector Machine (SVM) composed of HOG features at different resolutions, from coarse at the first level to fine at the last one.

In contrast to previous methods, our approach uses a non-uniform stride of the sliding window that is defined by the feature resolution and allows the detection to be incrementally refined as going from coarse-to-fine resolution. In this way, the speed-up of the cascade is not only due to the fewer number of features computed at the first levels of the cascade, but also to the reduced number of windows that need to be evaluated at the coarse resolution. Experimental results show that our method reaches a detection rate comparable with the state-of-the-art of detectors based on HOG features, while at the same time the detection search is up to 23 times faster.
 
  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 Medium  
  Area Expedition Conference  
  Notes ISE Approved no  
  Call Number Admin @ si @ PGB2011a Serial 1707  
Permanent link to this record
 

 
Author David Dueñas; Mostafa Kamal; Petia Radeva edit  openurl
  Title (down) Efficient Deep Learning Ensemble for Skin Lesion Classification Type Conference Article
  Year 2023 Publication Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications Abbreviated Journal  
  Volume Issue Pages 303-314  
  Keywords  
  Abstract Vision Transformers (ViTs) are deep learning techniques that have been gaining in popularity in recent years.
In this work, we study the performance of ViTs and Convolutional Neural Networks (CNNs) on skin lesions classification tasks, specifically melanoma diagnosis. We show that regardless of the performance of both architectures, an ensemble of them can improve their generalization. We also present an adaptation to the Gram-OOD* method (detecting Out-of-distribution (OOD) using Gram matrices) for skin lesion images. Moreover, the integration of super-convergence was critical to success in building models with strict computing and training time constraints. We evaluated our ensemble of ViTs and CNNs, demonstrating that generalization is enhanced by placing first in the 2019 and third in the 2020 ISIC Challenge Live Leaderboards
(available at https://challenge.isic-archive.com/leaderboards/live/).
 
  Address Lisboa; Portugal; February 2023  
  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 VISIGRAPP  
  Notes MILAB Approved no  
  Call Number Admin @ si @ DKR2023 Serial 3928  
Permanent link to this record
 

 
Author Judit Martinez; F. Thomas edit  doi
openurl 
  Title (down) Efficient Computation of Local Geometric Moments Type Journal Article
  Year 2002 Publication IEEE Transactions on Image Porcessing, (IF: 2.553) Abbreviated Journal  
  Volume 11 Issue 9 Pages 1102-1111  
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  Notes Approved no  
  Call Number Admin @ si @ MaT2002 Serial 271  
Permanent link to this record
 

 
Author Antonio Lopez; Felipe Lumbreras; Joan Serrat edit  openurl
  Title (down) Efficient computation of local creaseness Type Report
  Year 1997 Publication CVC Technical Report Abbreviated Journal  
  Volume Issue 15 Pages  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication CVC, Bellaterra (Spain) 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 ADAS Approved no  
  Call Number ADAS @ adas @ LLS1997b Serial 527  
Permanent link to this record
 

 
Author A. Pujol; Juan J. Villanueva; Jose Luis Alba edit  openurl
  Title (down) Efficient Computation of Face Shape Similarity Using Distance Transform Eigendecomposition and Valleys. Type Miscellaneous
  Year 2001 Publication IEEE International Conference on Image Processing (ICIP 2001), 1:1030–1033 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Grecia  
  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 ISE @ ise @ PVA2001 Serial 203  
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