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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 |
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MV;SIAI |
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Admin @ si @NVF2015 |
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2796 |
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| Author |
Fernando Vilariño; Dimosthenis Karatzas |
| Title |
The Library Living Lab |
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Conference Article |
| Year |
2015 |
Publication |
Open Living Lab Days |
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Istanbul; Turkey; August 2015 |
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OLLD |
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MV; DAG;SIAI |
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no |
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Admin @ si @ViK2015 |
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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 |
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2015 |
Publication |
Korean Scholars of Marketing Science |
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Seoul; Korea; October 2015 |
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KAMS |
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MV;SIAI |
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no |
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Admin @ si @Vil2015 |
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2799 |
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| Author |
Fernando Vilariño; Dan Norton; Onur Ferhat |
| Title |
Memory Fields: DJs in the Library |
Type |
Conference Article |
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2015 |
Publication |
21 st Symposium of Electronic Arts |
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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 |
Serial |
2800 |
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| Author |
Pau Riba; Alicia Fornes; Josep Llados |
| Title |
Towards the Alignment of Handwritten Music Scores |
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Conference Article |
| Year |
2015 |
Publication |
11th IAPR International Workshop on Graphics Recognition |
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It is very common to find different versions of the same music work in archives of Opera Theaters. These differences correspond to modifications and annotations from the musicians. From the musicologist point of view, these variations are very interesting and deserve study. This paper explores the alignment of music scores as a tool for automatically detecting the passages that contain such differences. Given the difficulties in the recognition of handwritten music scores, our goal is to align the music scores and at the same time, avoid the recognition of music elements as much as possible. After removing the staff lines, braces and ties, the bar lines are detected. Then, the bar units are described as a whole using the Blurred Shape Model. The bar units alignment is performed by using Dynamic Time Warping. The analysis of the alignment path is used to detect the variations in the music scores. The method has been evaluated on a subset of the CVC-MUSCIMA dataset, showing encouraging results. |
| Address |
Nancy; France; August 2015 |
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Springer International Publishing |
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Bart Lamiroy; Rafael Dueire Lins |
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978-3-319-52158-9 |
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GREC |
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DAG |
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no |
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Admin @ si @ |
Serial |
2874 |
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| Author |
Marçal Rusiñol; Dimosthenis Karatzas; Josep Llados |
| Title |
Automatic Verification of Properly Signed Multi-page Document Images |
Type |
Conference Article |
| Year |
2015 |
Publication |
Proceedings of the Eleventh International Symposium on Visual Computing |
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| Volume |
9475 |
Issue |
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Pages |
327-336 |
| Keywords |
Document Image; Manual Inspection; Signature Verification; Rejection Criterion; Document Flow |
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In this paper we present an industrial application for the automatic screening of incoming multi-page documents in a banking workflow aimed at determining whether these documents are properly signed or not. The proposed method is divided in three main steps. First individual pages are classified in order to identify the pages that should contain a signature. In a second step, we segment within those key pages the location where the signatures should appear. The last step checks whether the signatures are present or not. Our method is tested in a real large-scale environment and we report the results when checking two different types of real multi-page contracts, having in total more than 14,500 pages. |
| Address |
Las Vegas, Nevada, USA; December 2015 |
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LNCS |
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9475 |
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ISVC |
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DAG; 600.077 |
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no |
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Admin @ si @ |
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3189 |
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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 |
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277 |
Issue |
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247 - 256 |
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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 |
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2780 |
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