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Author | David Aldavert; Ricardo Toledo; Arnau Ramisa; Ramon Lopez de Mantaras | ||||
Title ![]() |
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 | |
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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 | ||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
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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 | ||
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Author | Jordi Gonzalez; Dani Rowe; Juan Andrade; Juan J. Villanueva | ||||
Title ![]() |
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 | |
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Address | Palma de Mallorca (Spain) | ||||
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Notes | Approved | no | |||
Call Number | ISE @ ise @ GRA2006 | Serial | 662 | ||
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Author | Marçal Rusiñol; Josep Llados | ||||
Title ![]() |
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 | ||
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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 | ||||
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Area | Expedition | Conference | DAS | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ RuL2010b | Serial | 1434 | ||
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Author | Suman Ghosh; Lluis Gomez; Dimosthenis Karatzas; Ernest Valveny | ||||
Title ![]() |
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 | ||
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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 | ||||
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Area | Expedition | Conference | CBDAR | ||
Notes | DAG; 600.077 | Approved | no | ||
Call Number | Admin @ si @ GGK2015 | Serial | 2693 | ||
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Author | Ivan Huerta; Dani Rowe; Jordi Gonzalez; Juan J. Villanueva | ||||
Title ![]() |
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 | |
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Address | Mallorca (Spain) | ||||
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Notes | Approved | no | |||
Call Number | ISE @ ise @ HRG2006a | Serial | 702 | ||
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Author | Fadi Dornaika; Alireza Bosaghzadeh; Bogdan Raducanu | ||||
Title ![]() |
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 | |
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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. |
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Address | Barcelona | ||||
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Publisher | Springer International Publishing | Place of Publication | Editor | ||
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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 | ||
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Author | M.A. Garcia; Angel Sappa | ||||
Title ![]() |
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 | |
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Notes | Approved | no | |||
Call Number | ADAS @ adas @ GaS2004 | Serial | 457 | ||
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Author | Fadi Dornaika; Bogdan Raducanu | ||||
Title ![]() |
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 | |
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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Area | Expedition | Conference | IWANN | ||
Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DoR2007a | Serial | 792 | ||
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Author | Jon Almazan; Albert Gordo; Alicia Fornes; Ernest Valveny | ||||
Title ![]() |
Efficient Exemplar Word Spotting | Type | Conference Article | ||
Year | 2012 | Publication | 23rd British Machine Vision Conference | Abbreviated Journal | |
Volume | Issue | Pages | 67.1- 67.11 | ||
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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. |
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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 | ||||
Title ![]() |
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 | ||
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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 | ||||
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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 | ||
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Author | Marco Pedersoli; Jordi Gonzalez; Andrew Bagdanov; Xavier Roca | ||||
Title ![]() |
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 |
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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. |
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Notes | ISE | Approved | no | ||
Call Number | Admin @ si @ PGB2011a | Serial | 1707 | ||
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Author | David Dueñas; Mostafa Kamal; Petia Radeva | ||||
Title ![]() |
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 | ||
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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/). |
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Address | Lisboa; Portugal; February 2023 | ||||
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Area | Expedition | Conference | VISIGRAPP | ||
Notes | MILAB | Approved | no | ||
Call Number | Admin @ si @ DKR2023 | Serial | 3928 | ||
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Author | Judit Martinez; F. Thomas | ||||
Title ![]() |
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 | ||
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Author | Antonio Lopez; Felipe Lumbreras; Joan Serrat | ||||
Title ![]() |
Efficient computation of local creaseness | Type | Report | ||
Year | 1997 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | Issue | 15 | Pages | ||
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Publisher | Place of Publication | CVC, Bellaterra (Spain) | Editor | ||
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Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ LLS1997b | Serial | 527 | ||
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Author | A. Pujol; Juan J. Villanueva; Jose Luis Alba | ||||
Title ![]() |
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 | |
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Address | Grecia | ||||
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Notes | Approved | no | |||
Call Number | ISE @ ise @ PVA2001 | Serial | 203 | ||
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