Records |
Author |
Joan M. Nuñez; Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
Title |
Growing Algorithm for Intersection Detection (GRAID) in branching patterns |
Type |
Journal Article |
Year |
2015 |
Publication |
Machine Vision and Applications |
Abbreviated Journal |
MVAP |
Volume |
26 |
Issue |
2 |
Pages |
387-400 |
Keywords |
Bifurcation ; Crossroad; Intersection ;Retina ; Vessel |
Abstract |
Analysis of branching structures represents a very important task in fields such as medical diagnosis, road detection or biometrics. Detecting intersection landmarks Becomes crucial when capturing the structure of a branching pattern. We present a very simple geometrical model to describe intersections in branching structures based on two conditions: Bounded Tangency condition (BT) and Shortest Branch (SB) condition. The proposed model precisely sets a geometrical characterization of intersections and allows us to introduce a new unsupervised operator for intersection extraction. We propose an implementation that handles the consequences of digital domain operation that,unlike existing approaches, is not restricted to a particular scale and does not require the computation of the thinned pattern. The new proposal, as well as other existing approaches in the bibliography, are evaluated in a common framework for the first time. The performance analysis is based on two manually segmented image data sets: DRIVE retinal image database and COLON-VESSEL data set, a newly created data set of vascular content in colonoscopy frames. We have created an intersection landmark ground truth for each data set besides comparing our method in the only existing ground truth. Quantitative results confirm that we are able to outperform state-of-the-art performancelevels with the advantage that neither training nor parameter tuning is needed. |
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;SIAI |
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no |
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Admin @ si @MBS2015 |
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2777 |
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Author |
Jordina Torrents-Barrena; Aida Valls; Petia Radeva; Meritxell Arenas; Domenec Puig |
Title |
Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis |
Type |
Book Chapter |
Year |
2015 |
Publication |
Artificial Intelligence Research and Development |
Abbreviated Journal |
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Volume |
277 |
Issue |
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Pages |
247 - 256 |
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Abstract |
Breast cancer disease has recently been classified into four subtypes regarding the molecular properties of the affected tumor region. For each patient, an accurate diagnosis of the specific type is vital to decide the most appropriate therapy in order to enhance life prospects. Nowadays, advanced therapeutic diagnosis research is focused on gene selection methods, which are not robust enough. Hence, we hypothesize that computer vision algorithms can offer benefits to address the problem of discriminating among them through X-Ray images. In this paper, we propose a novel approach driven by texture feature descriptors and machine learning techniques. First, we segment the tumour part through an active contour technique and then, we perform a complete fractal analysis to collect qualitative information of the region of interest in the feature extraction stage. Finally, several supervised and unsupervised classifiers are used to perform multiclass classification of the aforementioned data. The experimental results presented in this paper support that it is possible to establish a relation between each tumor subtype and the extracted features of the patterns revealed on mammograms. |
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IOS Press |
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Frontiers in Artificial Intelligence and Applications |
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MILAB |
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no |
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Admin @ si @TVR2015 |
Serial |
2780 |
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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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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. |
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Verliko Tarmovo; Bulgaria; September 2015 |
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DiPP |
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MILAB |
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no |
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Admin @ si @DiR2016 |
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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 |
Notes |
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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Abstract |
“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). |
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London; UK; October 2015 |
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ILI |
Notes |
MV;SIAI |
Approved |
no |
Call Number |
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 |
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no |
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Admin @ si @ViK2015 |
Serial |
2797 |
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Author |
Fernando Vilariño; Dimosthenis Karatzas; Marcos Catalan; Alberto Valcarcel |
Title |
An horizon for the Public Library as a place for innovation and creativity. The Library Living Lab in Volpelleres |
Type |
Book Chapter |
Year |
2015 |
Publication |
The White Book on Public Library Network from Diputació de Barcelona |
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MV; DAG;SIAI |
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no |
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Admin @ si @VKC2015 |
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2798 |
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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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Address |
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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Address |
Vancouver; Canada; August 2015 |
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ISEA |
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;SIAI |
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no |
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Admin @ si @VNF2015 |
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2800 |
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Author |
Marc Bolaños; Maite Garolera; Petia Radeva |
Title |
Object Discovery using CNN Features in Egocentric Videos |
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 |
67-74 |
Keywords |
Object discovery; Egocentric videos; Lifelogging; CNN |
Abstract |
Lifelogging devices based on photo/video are spreading faster everyday. This growth can represent great benefits to develop methods for extraction of meaningful information about the user wearing the device and his/her environment. In this paper, we propose a semi-supervised strategy for easily discovering objects relevant to the person wearing a first-person camera. The egocentric video sequence acquired by the camera, uses both the appearance extracted by means of a deep convolutional neural network and an object refill methodology that allow to discover objects even in case of small amount of object appearance in the collection of images. We validate our method on a sequence of 1000 egocentric daily images and obtain results with an F-measure of 0.5, 0.17 better than the state of the art approach. |
Address |
Santiago de Compostela; España; June 2015 |
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LNCS |
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0302-9743 |
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978-3-319-19389-2 |
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IbPRIA |
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MILAB |
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no |
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Admin @ si @ BGR2015 |
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2596 |
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Author |
Estefania Talavera; Mariella Dimiccoli; Marc Bolaños; Maedeh Aghaei; Petia Radeva |
Title |
R-clustering for egocentric video segmentation |
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 |
327-336 |
Keywords |
Temporal video segmentation; Egocentric videos; Clustering |
Abstract |
In this paper, we present a new method for egocentric video temporal segmentation based on integrating a statistical mean change detector and agglomerative clustering(AC) within an energy-minimization framework. Given the tendency of most AC methods to oversegment video sequences when clustering their frames, we combine the clustering with a concept drift detection technique (ADWIN) that has rigorous guarantee of performances. ADWIN serves as a statistical upper bound for the clustering-based video segmentation. We integrate both techniques in an energy-minimization framework that serves to disambiguate the decision of both techniques and to complete the segmentation taking into account the temporal continuity of video frames descriptors. We present experiments over egocentric sets of more than 13.000 images acquired with different wearable cameras, showing that our method outperforms state-of-the-art clustering methods. |
Address |
Santiago de Compostela; España; June 2015 |
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Springer International Publishing |
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LNCS |
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0302-9743 |
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978-3-319-19389-2 |
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IbPRIA |
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MILAB |
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no |
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Admin @ si @ TDB2015 |
Serial |
2597 |
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Author |
Pau Riba; Josep Llados; Alicia Fornes; Anjan Dutta |
Title |
Large-scale Graph Indexing using Binary Embeddings of Node Contexts |
Type |
Conference Article |
Year |
2015 |
Publication |
10th IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition |
Abbreviated Journal |
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Volume |
9069 |
Issue |
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Pages |
208-217 |
Keywords |
Graph matching; Graph indexing; Application in document analysis; Word spotting; Binary embedding |
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. |
Address |
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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LNCS |
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0302-9743 |
ISBN |
978-3-319-18223-0 |
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GbRPR |
Notes |
DAG; 600.061; 602.006; 600.077 |
Approved |
no |
Call Number |
Admin @ si @ RLF2015a |
Serial |
2618 |
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Author |
Juan Ignacio Toledo; Jordi Cucurull; Jordi Puiggali; Alicia Fornes; Josep Llados |
Title |
Document Analysis Techniques for Automatic Electoral Document Processing: A Survey |
Type |
Conference Article |
Year |
2015 |
Publication |
E-Voting and Identity, Proceedings of 5th international conference, VoteID 2015 |
Abbreviated Journal |
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Issue |
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Pages |
139-141 |
Keywords |
Document image analysis; Computer vision; Paper ballots; Paper based elections; Optical scan; Tally |
Abstract |
In this paper, we will discuss the most common challenges in electoral document processing and study the different solutions from the document analysis community that can be applied in each case. We will cover Optical Mark Recognition techniques to detect voter selections in the Australian Ballot, handwritten number recognition for preferential elections and handwriting recognition for write-in areas. We will also propose some particular adjustments that can be made to those general techniques in the specific context of electoral documents. |
Address |
Bern; Switzerland; September 2015 |
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LNCS |
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VoteID |
Notes |
DAG; 600.061; 602.006; 600.077 |
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no |
Call Number |
Admin @ si @ TCP2015 |
Serial |
2641 |
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Author |
Onur Ferhat; Arcadi Llanza; Fernando Vilariño |
Title |
A Feature-Based Gaze Estimation Algorithm for Natural Light Scenarios |
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 |
569-576 |
Keywords |
Eye tracking; Gaze estimation; Natural light; Webcam |
Abstract |
We present an eye tracking system that works with regular webcams. We base our work on open source CVC Eye Tracker [7] and we propose a number of improvements and a novel gaze estimation method. The new method uses features extracted from iris segmentation and it does not fall into the traditional categorization of appearance–based/model–based methods. Our experiments show that our approach reduces the gaze estimation errors by 34 % in the horizontal direction and by 12 % in the vertical direction compared to the baseline system. |
Address |
Santiago de Compostela; June 2015 |
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Springer International Publishing |
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LNCS |
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0302-9743 |
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978-3-319-19389-2 |
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IbPRIA |
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MV;SIAI |
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no |
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Admin @ si @ FLV2015a |
Serial |
2646 |
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Author |
Dennis G.Romero; Anselmo Frizera; Angel Sappa; Boris X. Vintimilla; Teodiano F.Bastos |
Title |
A predictive model for human activity recognition by observing actions and context |
Type |
Conference Article |
Year |
2015 |
Publication |
Advanced Concepts for Intelligent Vision Systems, Proceedings of 16th International Conference, ACIVS 2015 |
Abbreviated Journal |
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Volume |
9386 |
Issue |
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Pages |
323-333 |
Keywords |
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Abstract |
This paper presents a novel model to estimate human activities — a human activity is defined by a set of human actions. The proposed approach is based on the usage of Recurrent Neural Networks (RNN) and Bayesian inference through the continuous monitoring of human actions and its surrounding environment. In the current work human activities are inferred considering not only visual analysis but also additional resources; external sources of information, such as context information, are incorporated to contribute to the activity estimation. The novelty of the proposed approach lies in the way the information is encoded, so that it can be later associated according to a predefined semantic structure. Hence, a pattern representing a given activity can be defined by a set of actions, plus contextual information or other kind of information that could be relevant to describe the activity. Experimental results with real data are provided showing the validity of the proposed approach. |
Address |
Catania; Italy; October 2015 |
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Springer International Publishing |
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LNCS |
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0302-9743 |
ISBN |
978-3-319-25902-4 |
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ACIVS |
Notes |
ADAS; 600.076 |
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no |
Call Number |
Admin @ si @ RFS2015 |
Serial |
2661 |
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