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Author |
Pau Riba; Josep Llados; Alicia Fornes; Anjan Dutta |
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Title |
Large-scale Graph Indexing using Binary Embeddings of Node Contexts |
Type |
Conference Article |
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Year |
2015 |
Publication |
10th IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition |
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Volume |
9069 |
Issue |
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Pages |
208-217 |
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Keywords |
Graph matching; Graph indexing; Application in document analysis; Word spotting; Binary embedding |
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Abstract |
Graph-based representations are experiencing a growing usage in visual recognition and retrieval due to their representational power in front of classical appearance-based representations in terms of feature vectors. Retrieving a query graph from a large dataset of graphs has the drawback of the high computational complexity required to compare the query and the target graphs. The most important property for a large-scale retrieval is the search time complexity to be sub-linear in the number of database examples. In this paper we propose a fast indexation formalism for graph retrieval. A binary embedding is defined as hashing keys for graph nodes. Given a database of labeled graphs, graph nodes are complemented with vectors of attributes representing their local context. Hence, each attribute counts the length of a walk of order k originated in a vertex with label l. Each attribute vector is converted to a binary code applying a binary-valued hash function. Therefore, graph retrieval is formulated in terms of finding target graphs in the database whose nodes have a small Hamming distance from the query nodes, easily computed with bitwise logical operators. As an application example, we validate the performance of the proposed methods in a handwritten word spotting scenario in images of historical documents. |
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Beijing; China; May 2015 |
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Springer International Publishing |
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C.-L.Liu; B.Luo; W.G.Kropatsch; J.Cheng |
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0302-9743 |
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978-3-319-18223-0 |
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GbRPR |
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Notes |
DAG; 600.061; 602.006; 600.077 |
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no |
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Call Number |
Admin @ si @ RLF2015a |
Serial |
2618 |
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Author |
Pau Riba; Josep Llados; Alicia Fornes |
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Title |
Error-tolerant coarse-to-fine matching model for hierarchical graphs |
Type |
Conference Article |
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Year |
2017 |
Publication |
11th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition |
Abbreviated Journal |
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Volume |
10310 |
Issue |
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Pages |
107-117 |
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Keywords |
Graph matching; Hierarchical graph; Graph-based representation; Coarse-to-fine matching |
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Abstract |
Graph-based representations are effective tools to capture structural information from visual elements. However, retrieving a query graph from a large database of graphs implies a high computational complexity. Moreover, these representations are very sensitive to noise or small changes. In this work, a novel hierarchical graph representation is designed. Using graph clustering techniques adapted from graph-based social media analysis, we propose to generate a hierarchy able to deal with different levels of abstraction while keeping information about the topology. For the proposed representations, a coarse-to-fine matching method is defined. These approaches are validated using real scenarios such as classification of colour images and handwritten word spotting. |
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Address |
Anacapri; Italy; May 2017 |
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Springer International Publishing |
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Editor |
Pasquale Foggia; Cheng-Lin Liu; Mario Vento |
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GbRPR |
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Notes |
DAG; 600.097; 601.302; 600.121 |
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no |
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Call Number |
Admin @ si @ RLF2017a |
Serial |
2951 |
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Author |
Lei Kang; Juan Ignacio Toledo; Pau Riba; Mauricio Villegas; Alicia Fornes; Marçal Rusiñol |
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Title |
Convolve, Attend and Spell: An Attention-based Sequence-to-Sequence Model for Handwritten Word Recognition |
Type |
Conference Article |
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Year |
2018 |
Publication |
40th German Conference on Pattern Recognition |
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Pages |
459-472 |
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This paper proposes Convolve, Attend and Spell, an attention based sequence-to-sequence model for handwritten word recognition. The proposed architecture has three main parts: an encoder, consisting of a CNN and a bi-directional GRU, an attention mechanism devoted to focus on the pertinent features and a decoder formed by a one-directional GRU, able to spell the corresponding word, character by character. Compared with the recent state-of-the-art, our model achieves competitive results on the IAM dataset without needing any pre-processing step, predefined lexicon nor language model. Code and additional results are available in https://github.com/omni-us/research-seq2seq-HTR. |
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Stuttgart; Germany; October 2018 |
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GCPR |
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Notes |
DAG; 600.097; 603.057; 302.065; 601.302; 600.084; 600.121; 600.129 |
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no |
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Call Number |
Admin @ si @ KTR2018 |
Serial |
3167 |
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Author |
Mikhail Mozerov; Ariel Amato; Xavier Roca |
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Title |
Occlusion Handling in Trinocular Stereo using Composite Disparity Space Image |
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Conference Article |
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Year |
2009 |
Publication |
19th International Conference on Computer Graphics and Vision |
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69–73 |
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Abstract |
In this paper we propose a method that smartly improves occlusion handling in stereo matching using trinocular stereo. The main idea is based on the assumption that any occluded region in a matched stereo pair (middle-left images) in general is not occluded in the opposite matched pair (middle-right images). Then two disparity space images (DSI) can be merged in one composite DSI. The proposed integration differs from the known approach that uses a cumulative cost. A dense disparity map is obtained with a global optimization algorithm using the proposed composite DSI. The experimental results are evaluated on the Middlebury data set, showing high performance of the proposed algorithm especially in the occluded regions. One of the top positions in the rank of the Middlebury website confirms the performance of our method to be competitive with the best stereo matching. |
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Moscow (Russia) |
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978-5-317-02975-3 |
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GRAPHICON |
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ISE |
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no |
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Call Number |
ISE @ ise @ MAR2009b |
Serial |
1207 |
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Author |
Oscar Amoros; Sergio Escalera; Anna Puig |
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Title |
Adaboost GPU-based Classifier for Direct Volume Rendering |
Type |
Conference Article |
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Year |
2011 |
Publication |
International Conference on Computer Graphics Theory and Applications |
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Pages |
215-219 |
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Abstract |
In volume visualization, the voxel visibitity and materials are carried out through an interactive editing of Transfer Function. In this paper, we present a two-level GPU-based labeling method that computes in times of rendering a set of labeled structures using the Adaboost machine learning classifier. In a pre-processing step, Adaboost trains a binary classifier from a pre-labeled dataset and, in each sample, takes into account a set of features. This binary classifier is a weighted combination of weak classifiers, which can be expressed as simple decision functions estimated on a single feature values. Then, at the testing stage, each weak classifier is independently applied on the features of a set of unlabeled samples. We propose an alternative representation of these classifiers that allow a GPU-based parallelizated testing stage embedded into the visualization pipeline. The empirical results confirm the OpenCL-based classification of biomedical datasets as a tough problem where an opportunity for further research emerges. |
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Algarve, Portugal |
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GRAPP |
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Notes |
MILAB; HuPBA |
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no |
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Call Number |
Admin @ si @ AEP2011 |
Serial |
1774 |
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Author |
Salim Jouili; Salvatore Tabbone; Ernest Valveny |
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Title |
Comparing Graph Similarity Measures for Graphical Recognition |
Type |
Book Chapter |
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Year |
2010 |
Publication |
Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
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Volume |
6020 |
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Pages |
37-48 |
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In this paper we evaluate four graph distance measures. The analysis is performed for document retrieval tasks. For this aim, different kind of documents are used including line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each graph distance measure depends on the kind of data and the graph representation technique. |
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Springer Berlin Heidelberg |
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0302-9743 |
ISBN |
978-3-642-13727-3 |
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GREC |
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DAG |
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no |
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Call Number |
Admin @ si @ JTV2010 |
Serial |
2404 |
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Author |
W. Liu; Josep Llados |
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Title |
Graphics Recognition. Ten Years Review and Future Perspectives |
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Book Whole |
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Year |
2006 |
Publication |
6th International Workshop |
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Volume |
3926 |
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Address |
Hong Kong (China) |
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GREC |
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DAG |
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no |
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Call Number |
DAG @ dag @ LiL2006 |
Serial |
800 |
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Author |
Partha Pratim Roy; Eduard Vazquez; Josep Llados; Ramon Baldrich; Umapada Pal |
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Title |
A System to Retrieve Text/Symbols from Color Maps using Connected Component and Skeleton Analysis |
Type |
Conference Article |
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Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
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Pages |
79–78 |
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Curitiba (Brasil) |
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J. Llados, W. Liu, J.M. Ogier |
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GREC |
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Notes |
CAT; DAG;CIC |
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no |
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Call Number |
CAT @ cat @ RVL2007 |
Serial |
836 |
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Author |
Mathieu Nicolas Delalandre; Tony Pridmore; Ernest Valveny; Eric Trupin; Herve Locteau |
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Title |
Building Synthetic Graphical Documents for Performance Evaluation |
Type |
Conference Article |
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Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
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Pages |
84–87 |
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Curitiba (Brasil) |
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GREC |
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DAG |
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no |
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Call Number |
DAG @ dag @ DPV2007 |
Serial |
840 |
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Author |
Mathieu Nicolas Delalandre; Jean-Marc Ogier; Josep Llados |
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Title |
A Fast System for the Retrieval of Ornamental Letter Image |
Type |
Conference Article |
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Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
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51–54 |
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Curitiba (Brasil) |
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GREC |
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DAG |
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no |
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Call Number |
DAG @ dag @ DOL2007 |
Serial |
841 |
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Author |
Joan Mas; J.A. Jorge; Gemma Sanchez; Josep Llados |
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Title |
Describing and Parising Hand-Drawn Sketches using a Syntactic Approach |
Type |
Conference Article |
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Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
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61–62 |
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Curitiba (Brasil) |
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J. Llados, W. Liu, J.M. Ogier |
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GREC |
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DAG |
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no |
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Call Number |
DAG @ dag @ MJS2007 |
Serial |
845 |
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Author |
Marçal Rusiñol; Josep Llados |
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Title |
A Region-Based Hashing Approach for Symbol Spotting in Thechnical Documents |
Type |
Conference Article |
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Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
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41–42 |
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Curitiba (Brazil) |
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J. Llados, W. Liu, J.M. Ogier |
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GREC |
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DAG |
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DAG @ dag @ RuL2007a |
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846 |
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Author |
Oriol Ramos Terrades; Ernest Valveny; Salvatore Tabbone |
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Title |
On the Combination of Ridgelets Descriptors for Symbol Recognition |
Type |
Conference Article |
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Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
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18–20 |
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Curitiba (Brazil) |
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GREC |
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DAG |
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no |
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DAG @ dag @ RVT2007 |
Serial |
886 |
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Author |
Alicia Fornes; Josep Llados; Gemma Sanchez |
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Title |
Old Handwritten Musical Symbol Classification by a Dynamic Time Warping Based Method |
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Conference Article |
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Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
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26–27 |
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Curitiba (Brazil) |
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GREC |
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DAG |
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DAG @ dag @ FLS2007 |
Serial |
887 |
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Author |
Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados |
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Title |
Categorization of Digital Ink Elements using Spectral Features |
Type |
Conference Article |
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Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
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63–64 |
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Curitiba (Brazil) |
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Publisher |
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Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
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ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
GREC |
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Notes |
DAG |
Approved |
no |
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Call Number |
DAG @ dag @ RSL2007c |
Serial |
888 |
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