| Records |
| Author |
Suman Ghosh; Ernest Valveny |
| Title |
Query by String word spotting based on character bi-gram indexing |
Type  |
Conference Article |
| Year |
2015 |
Publication |
13th International Conference on Document Analysis and Recognition ICDAR2015 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
881-885 |
| Keywords |
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| Abstract |
In this paper we propose a segmentation-free query by string word spotting method. Both the documents and query strings are encoded using a recently proposed word representa- tion that projects images and strings into a common atribute space based on a pyramidal histogram of characters(PHOC). These attribute models are learned using linear SVMs over the Fisher Vector representation of the images along with the PHOC labels of the corresponding strings. In order to search through the whole page, document regions are indexed per character bi- gram using a similar attribute representation. On top of that, we propose an integral image representation of the document using a simplified version of the attribute model for efficient computation. Finally we introduce a re-ranking step in order to boost retrieval performance. We show state-of-the-art results for segmentation-free query by string word spotting in single-writer and multi-writer standard datasets |
| Address |
Nancy; France; August 2015 |
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Expedition |
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Conference |
ICDAR |
| Notes |
DAG; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ GhV2015a |
Serial |
2715 |
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| Author |
Suman Ghosh; Ernest Valveny |
| Title |
A Sliding Window Framework for Word Spotting Based on Word Attributes |
Type |
Conference Article |
| Year |
2015 |
Publication |
Pattern Recognition and Image Analysis, Proceedings of 7th Iberian Conference , ibPRIA 2015 |
Abbreviated Journal |
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| Volume |
9117 |
Issue |
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Pages |
652-661 |
| Keywords |
Word spotting; Sliding window; Word attributes |
| Abstract |
In this paper we propose a segmentation-free approach to word spotting. Word images are first encoded into feature vectors using Fisher Vector. Then, these feature vectors are used together with pyramidal histogram of characters labels (PHOC) to learn SVM-based attribute models. Documents are represented by these PHOC based word attributes. To efficiently compute the word attributes over a sliding window, we propose to use an integral image representation of the document using a simplified version of the attribute model. Finally we re-rank the top word candidates using the more discriminative full version of the word attributes. We show state-of-the-art results for segmentation-free query-by-example word spotting in single-writer and multi-writer standard datasets. |
| Address |
Santiago de Compostela; June 2015 |
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Thesis |
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| Publisher |
Springer International Publishing |
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LNCS |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-319-19389-2 |
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Expedition |
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Conference |
IbPRIA |
| Notes |
DAG; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ GhV2015b |
Serial |
2716 |
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| Author |
Juan Ramon Terven Salinas; Bogdan Raducanu; Maria Elena Meza-de-Luna; Joaquin Salas |
| Title |
Evaluating Real-Time Mirroring of Head Gestures using Smart Glasses |
Type |
Conference Article |
| Year |
2015 |
Publication |
16th IEEE International Conference on Computer Vision Workshops |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
452-460 |
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| Abstract |
Mirroring occurs when one person tends to mimic the non-verbal communication of their counterparts. Even though mirroring is a complex phenomenon, in this study, we focus on the detection of head-nodding as a simple non-verbal communication cue due to its significance as a gesture displayed during social interactions. This paper introduces a computer vision-based method to detect mirroring through the analysis of head gestures using wearable cameras (smart glasses). In addition, we study how such a method can be used to explore perceived competence. The proposed method has been evaluated and the experiments demonstrate how static and wearable cameras seem to be equally effective to gather the information required for the analysis. |
| Address |
Santiago de Chile; December 2015 |
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Conference |
ICCVW |
| Notes |
LAMP; 600.068; 600.072; |
Approved |
no |
| Call Number |
Admin @ si @ TRM2015 |
Serial |
2722 |
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| Author |
M. Campos-Taberner; Adriana Romero; Carlo Gatta; Gustavo Camps-Valls |
| Title |
Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination |
Type |
Conference Article |
| Year |
2015 |
Publication |
IEEE International Geoscience and Remote Sensing Symposium IGARSS2015 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
4169 - 4172 |
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| Abstract |
This paper studies the level of complementary information conveyed by extremely high resolution LiDAR and optical images. We pursue this goal following an indirect approach via unsupervised spatial-spectral feature extraction. We used a recently presented unsupervised convolutional neural network trained to enforce both population and lifetime spar-sity in the feature representation. We derived independent and joint feature representations, and analyzed the sparsity scores and the discriminative power. Interestingly, the obtained results revealed that the RGB+LiDAR representation is no longer sparse, and the derived basis functions merge color and elevation yielding a set of more expressive colored edge filters. The joint feature representation is also more discriminative when used for clustering and topological data visualization. |
| Address |
Milan; Italy; July 2015 |
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IGARSS |
| Notes |
LAMP; 600.079;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ CRG2015 |
Serial |
2724 |
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| Author |
R. Bertrand; Oriol Ramos Terrades; P. Gomez-Kramer; P. Franco; Jean-Marc Ogier |
| Title |
A Conditional Random Field model for font forgery detection |
Type |
Conference Article |
| Year |
2015 |
Publication |
13th International Conference on Document Analysis and Recognition ICDAR2015 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
576 - 580 |
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| Abstract |
Nowadays, document forgery is becoming a real issue. A large amount of documents that contain critical information as payment slips, invoices or contracts, are constantly subject to fraudster manipulation because of the lack of security regarding this kind of document. Previously, a system to detect fraudulent documents based on its intrinsic features has been presented. It was especially designed to retrieve copy-move forgery and imperfection due to fraudster manipulation. However, when a set of characters is not present in the original document, copy-move forgery is not feasible. Hence, the fraudster will use a text toolbox to add or modify information in the document by imitating the font or he will cut and paste characters from another document where the font properties are similar. This often results in font type errors. Thus, a clue to detect document forgery consists of finding characters, words or sentences in a document with font properties different from their surroundings. To this end, we present in this paper an automatic forgery detection method based on document font features. Using the Conditional Random Field a measurement of probability that a character belongs to a specific font is made by comparing the character font features to a knowledge database. Then, the character is classified as a genuine or a fake one by comparing its probability to belong to a certain font type with those of the neighboring characters. |
| Address |
Nancy; France; August 2015 |
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Conference |
ICDAR |
| Notes |
DAG; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ BRG2015 |
Serial |
2725 |
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| Author |
Lluis Pere de las Heras; Oriol Ramos Terrades; Josep Llados; David Fernandez; Cristina Cañero |
| Title |
Use case visual Bag-of-Words techniques for camera based identity document classification |
Type |
Conference Article |
| Year |
2015 |
Publication |
13th International Conference on Document Analysis and Recognition ICDAR2015 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
721 - 725 |
| Keywords |
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| Abstract |
Nowadays, automatic identity document recognition, including passport and driving license recognition, is at the core of many applications within the administrative and service sectors, such as police, hospitality, car renting, etc. In former years, the document information was manually extracted whereas today this data is recognized automatically from images obtained by flat-bed scanners. Yet, since these scanners tend to be expensive and voluminous, companies in the sector have recently turned their attention to cheaper, small and yet computationally powerful scanners: the mobile devices. The document identity recognition from mobile images enclose several new difficulties w.r.t traditional scanned images, such as the loss of a controlled background, perspective, blurring, etc. In this paper we present a real application for identity document classification of images taken from mobile devices. This classification process is of extreme importance since a prior knowledge of the document type and origin strongly facilitates the subsequent information extraction. The proposed method is based on a traditional Bagof-Words in which we have taken into consideration several key aspects to enhance recognition rate. The method performance has been studied on three datasets containing more than 2000 images from 129 different document classes. |
| Address |
Nancy; France; August 2015 |
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Conference |
ICDAR |
| Notes |
DAG; 600.077; 600.061; |
Approved |
no |
| Call Number |
Admin @ si @ HRL2015a |
Serial |
2726 |
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| Author |
Lluis Pere de las Heras; Oriol Ramos Terrades; Josep Llados |
| Title |
Attributed Graph Grammar for floor plan analysis |
Type |
Conference Article |
| Year |
2015 |
Publication |
13th International Conference on Document Analysis and Recognition ICDAR2015 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
726 - 730 |
| Keywords |
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| Abstract |
In this paper, we propose the use of an Attributed Graph Grammar as unique framework to model and recognize the structure of floor plans. This grammar represents a building as a hierarchical composition of structurally and semantically related elements, where common representations are learned stochastically from annotated data. Given an input image, the parsing consists on constructing that graph representation that better agrees with the probabilistic model defined by the grammar. The proposed method provides several advantages with respect to the traditional floor plan analysis techniques. It uses an unsupervised statistical approach for detecting walls that adapts to different graphical notations and relaxes strong structural assumptions such are straightness and orthogonality. Moreover, the independence between the knowledge model and the parsing implementation allows the method to learn automatically different building configurations and thus, to cope the existing variability. These advantages are clearly demonstrated by comparing it with the most recent floor plan interpretation techniques on 4 datasets of real floor plans with different notations. |
| Address |
Nancy; France; August 2015 |
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Conference |
ICDAR |
| Notes |
DAG; 600.077; 600.061 |
Approved |
no |
| Call Number |
Admin @ si @ HRL2015b |
Serial |
2727 |
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| Author |
Gloria Fernandez Esparrach; Jorge Bernal; Cristina Rodriguez de Miguel; Debora Gil; Fernando Vilariño; Henry Cordova; Cristina Sanchez Montes; I.Araujo ; Maria Lopez Ceron; J.Llach; F. Javier Sanchez |
| Title |
Colonic polyps are correctly identified by a computer vision method using wm-dova energy maps |
Type |
Conference Article |
| Year |
2015 |
Publication |
Proceedings of 23 United European- UEG Week 2015 |
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Pages |
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Conference |
UEG |
| Notes |
MV; IAM; 600.075;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ FBR2015 |
Serial |
2732 |
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| Author |
Aleksandr Setkov; Fabio Martinez Carillo; Michele Gouiffes; Christian Jacquemin; Maria Vanrell; Ramon Baldrich |
| Title |
DAcImPro: A Novel Database of Acquired Image Projections and Its Application to Object Recognition |
Type |
Conference Article |
| Year |
2015 |
Publication |
Advances in Visual Computing. Proceedings of 11th International Symposium, ISVC 2015 Part II |
Abbreviated Journal |
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| Volume |
9475 |
Issue |
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Pages |
463-473 |
| Keywords |
Projector-camera systems; Feature descriptors; Object recognition |
| Abstract |
Projector-camera systems are designed to improve the projection quality by comparing original images with their captured projections, which is usually complicated due to high photometric and geometric variations. Many research works address this problem using their own test data which makes it extremely difficult to compare different proposals. This paper has two main contributions. Firstly, we introduce a new database of acquired image projections (DAcImPro) that, covering photometric and geometric conditions and providing data for ground-truth computation, can serve to evaluate different algorithms in projector-camera systems. Secondly, a new object recognition scenario from acquired projections is presented, which could be of a great interest in such domains, as home video projections and public presentations. We show that the task is more challenging than the classical recognition problem and thus requires additional pre-processing, such as color compensation or projection area selection. |
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| Publisher |
Springer International Publishing |
Place of Publication |
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LNCS |
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Edition |
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0302-9743 |
ISBN |
978-3-319-27862-9 |
Medium |
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Conference |
ISVC |
| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ SMG2015 |
Serial |
2736 |
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| Author |
Mariella Dimiccoli; Petia Radeva |
| Title |
Lifelogging in the era of outstanding digitization |
Type |
Conference Article |
| Year |
2015 |
Publication |
International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage |
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Pages |
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In this paper, we give an overview on the emerging trend of the digitized self, focusing on visual lifelogging through wearable cameras. This is about continuously recording our life from a first-person view by wearing a camera that passively captures images. On one hand, visual lifelogging has opened the door to a large number of applications, including health. On the other, it has also boosted new challenges in the field of data analysis as well as new ethical concerns. While currently increasing efforts are being devoted to exploit lifelogging data for the improvement of personal well-being, we believe there are still many interesting applications to explore, ranging from tourism to the digitization of human behavior. |
| Address |
Verliko Tarmovo; Bulgaria; September 2015 |
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DiPP |
| Notes |
MILAB |
Approved |
no |
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Admin @ si @DiR2016 |
Serial |
2792 |
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| Author |
Aniol Lidon; Xavier Giro; Marc Bolaños; Petia Radeva; Markus Seidl; Matthias Zeppelzauer |
| Title |
UPC-UB-STP @ MediaEval 2015 diversity task: iterative reranking of relevant images |
Type |
Conference Article |
| Year |
2015 |
Publication |
2015 MediaEval Retrieving Diverse Images Task |
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This paper presents the results of the UPC-UB-STP team in the 2015 MediaEval Retrieving Diverse Images Task. The goal of the challenge is to provide a ranked list of Flickr photos for a predefined set of queries. Our approach firstly generates a ranking of images based on a query-independent estimation of its relevance. Only top results are kept and iteratively re-ranked based on their intra-similarity to introduce diversity. |
| Address |
Wurzen; Germany; September 2015 |
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MediaEval |
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MILAB |
Approved |
no |
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Admin @ si @LGB2016 |
Serial |
2793 |
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| Author |
Dan Norton; Fernando Vilariño; Onur Ferhat |
| Title |
Memory Field – Creative Engagement in Digital Collections |
Type |
Conference Article |
| Year |
2015 |
Publication |
Internet Librarian International Conference |
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“Memory Fields” is a trans-disciplinary project aiming at the (re)valorisation of digital collections.Its main deliverable is an interface for a dual screen installation, used to access and mix the public library digital collections. The collections being used in this case are a collection of digitised posters from the Spanish Civil War, belonging to the Arxiu General de Catalunya, and a collection of field recordings made by Dan Norton. The system generates visualisations, and the images and sounds are mixed together using narrative primitives of video dj. Users contribute to the digital collections by adding personal memories and observations. The comments and recollections appear as flowers growing in a “memory field” and memories remain public in a Twitter feed (@Memoryfields). |
| Address |
London; UK; October 2015 |
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ILI |
| Notes |
MV;SIAI |
Approved |
no |
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Admin @ si @NVF2015 |
Serial |
2796 |
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| Author |
Fernando Vilariño; Dimosthenis Karatzas |
| Title |
The Library Living Lab |
Type |
Conference Article |
| Year |
2015 |
Publication |
Open Living Lab Days |
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| Address |
Istanbul; Turkey; August 2015 |
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OLLD |
| Notes |
MV; DAG;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ViK2015 |
Serial |
2797 |
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| Author |
Fernando Vilariño |
| Title |
Computer Vision and Performing Arts |
Type |
Conference Article |
| Year |
2015 |
Publication |
Korean Scholars of Marketing Science |
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Seoul; Korea; October 2015 |
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KAMS |
| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
Admin @ si @Vil2015 |
Serial |
2799 |
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| Author |
Fernando Vilariño; Dan Norton; Onur Ferhat |
| Title |
Memory Fields: DJs in the Library |
Type |
Conference Article |
| Year |
2015 |
Publication |
21 st Symposium of Electronic Arts |
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Vancouver; Canada; August 2015 |
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ISEA |
| Notes |
;SIAI |
Approved |
no |
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Admin @ si @VNF2015 |
Serial |
2800 |
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