Records |
Author |
David Sanchez-Mendoza; David Masip; Agata Lapedriza |
Title |
Emotion recognition from mid-level features |
Type |
Journal Article |
Year ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2015 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
Volume |
67 |
Issue |
Part 1 |
Pages |
66–74 |
Keywords |
Facial expression; Emotion recognition; Action units; Computer vision |
Abstract |
In this paper we present a study on the use of Action Units as mid-level features for automatically recognizing basic and subtle emotions. We propose a representation model based on mid-level facial muscular movement features. We encode these movements dynamically using the Facial Action Coding System, and propose to use these intermediate features based on Action Units (AUs) to classify emotions. AUs activations are detected fusing a set of spatiotemporal geometric and appearance features. The algorithm is validated in two applications: (i) the recognition of 7 basic emotions using the publicly available Cohn-Kanade database, and (ii) the inference of subtle emotional cues in the Newscast database. In this second scenario, we consider emotions that are perceived cumulatively in longer periods of time. In particular, we Automatically classify whether video shoots from public News TV channels refer to Good or Bad news. To deal with the different video lengths we propose a Histogram of Action Units and compute it using a sliding window strategy on the frame sequences. Our approach achieves accuracies close to human perception. |
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Elsevier B.V. |
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ISSN |
0167-8655 |
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Notes |
OR;MV |
Approved |
no |
Call Number |
Admin @ si @ SML2015 |
Serial |
2746 |
Permanent link to this record |
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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 ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
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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Notes |
;SIAI |
Approved |
no |
Call Number |
Admin @ si @MBS2015 |
Serial |
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 ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2015 |
Publication |
Artificial Intelligence Research and Development |
Abbreviated Journal |
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Volume |
277 |
Issue |
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Pages |
247 - 256 |
Keywords |
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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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Notes |
MILAB |
Approved |
no |
Call Number |
Admin @ si @TVR2015 |
Serial |
2780 |
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Author |
E. Tavalera; Mariella Dimiccoli; Marc Bolaños; Maedeh Aghaei; Petia Radeva |
Title |
Regularized Clustering for Egocentric Video Segmentation |
Type |
Book Chapter |
Year ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2015 |
Publication |
Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
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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 energyminimization 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 techniques in an energy-minimization framework that serves disambiguate the decision of both techniques and to complete the segmentation taking into account the temporal continuity of video frames 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. |
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Springer International Publishing |
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LNCS |
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ISBN |
978-3-319-19390-8 |
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MILAB |
Approved |
no |
Call Number |
Admin @ si @TDB2015a |
Serial |
2781 |
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Author |
Mariella Dimiccoli; Petia Radeva |
Title |
Lifelogging in the era of outstanding digitization |
Type |
Conference Article |
Year ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2015 |
Publication |
International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
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Abstract |
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 |
Call Number |
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 ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2015 |
Publication |
2015 MediaEval Retrieving Diverse Images Task |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
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Abstract |
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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Conference |
MediaEval |
Notes |
MILAB |
Approved |
no |
Call Number |
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 ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2015 |
Publication |
Internet Librarian International Conference |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
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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). |
Address |
London; UK; October 2015 |
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ILI |
Notes |
MV;SIAI |
Approved |
no |
Call Number |
Admin @ si @NVF2015 |
Serial |
2796 |
Permanent link to this record |
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Author |
Fernando Vilariño; Dimosthenis Karatzas |
Title |
The Library Living Lab |
Type |
Conference Article |
Year ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2015 |
Publication |
Open Living Lab Days |
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Address |
Istanbul; Turkey; August 2015 |
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Conference |
OLLD |
Notes |
MV; DAG;SIAI |
Approved |
no |
Call Number |
Admin @ si @ViK2015 |
Serial |
2797 |
Permanent link to this record |
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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 ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2015 |
Publication |
The White Book on Public Library Network from Diputació de Barcelona |
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Notes |
MV; DAG;SIAI |
Approved |
no |
Call Number |
Admin @ si @VKC2015 |
Serial |
2798 |
Permanent link to this record |
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Author |
Fernando Vilariño |
Title |
Computer Vision and Performing Arts |
Type |
Conference Article |
Year ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
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 ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2015 |
Publication |
21 st Symposium of Electronic Arts |
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Address |
Vancouver; Canada; August 2015 |
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ISEA |
Notes |
;SIAI |
Approved |
no |
Call Number |
Admin @ si @VNF2015 |
Serial |
2800 |
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Author |
Pau Riba; Alicia Fornes; Josep Llados |
Title |
Towards the Alignment of Handwritten Music Scores |
Type |
Conference Article |
Year ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2015 |
Publication |
11th IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
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Abstract |
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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Thesis |
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Publisher |
Springer International Publishing |
Place of Publication |
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Editor |
Bart Lamiroy; Rafael Dueire Lins |
Language |
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Summary Language |
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Original Title |
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LNCS |
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ISBN |
978-3-319-52158-9 |
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Conference |
GREC |
Notes |
DAG |
Approved |
no |
Call Number |
Admin @ si @ |
Serial |
2874 |
Permanent link to this record |
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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 ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2015 |
Publication |
Proceedings of the Eleventh International Symposium on Visual Computing |
Abbreviated Journal |
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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 |
Abstract |
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 |
Notes |
DAG; 600.077 |
Approved |
no |
Call Number |
Admin @ si @ |
Serial |
3189 |
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Author |
C. Butakoff; Simone Balocco; F.M. Sukno; C. Hoogendoorn; C. Tobon-Gomez; G. Avegliano; A.F. Frangi |
Title |
Left-ventricular Epi- and Endocardium Extraction from 3D Ultrasound Images Using an Automatically Constructed 3D ASM |
Type |
Journal Article |
Year ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2016 |
Publication |
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization |
Abbreviated Journal |
CMBBE |
Volume |
4 |
Issue |
5 |
Pages |
265-280 |
Keywords |
ASM; cardiac segmentation; statistical model; shape model; 3D ultrasound; cardiac segmentation |
Abstract |
In this paper, we propose an automatic method for constructing an active shape model (ASM) to segment the complete cardiac left ventricle in 3D ultrasound (3DUS) images, which avoids costly manual landmarking. The automatic construction of the ASM has already been addressed in the literature; however, the direct application of these methods to 3DUS is hampered by a high level of noise and artefacts. Therefore, we propose to construct the ASM by fusing the multidetector computed tomography data, to learn the shape, with the artificially generated 3DUS, in order to learn the neighbourhood of the boundaries. Our artificial images were generated by two approaches: a faster one that does not take into account the geometry of the transducer, and a more comprehensive one, implemented in Field II toolbox. The segmentation accuracy of our ASM was evaluated on 20 patients with left-ventricular asynchrony, demonstrating plausibility of the approach. |
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ISSN |
2168-1163 |
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MILAB |
Approved |
no |
Call Number |
Admin @ si @ BBS2016 |
Serial |
2449 |
Permanent link to this record |
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Author |
Svebor Karaman; Andrew Bagdanov; Lea Landucci; Gianpaolo D'Amico; Andrea Ferracani; Daniele Pezzatini; Alberto del Bimbo |
Title |
Personalized multimedia content delivery on an interactive table by passive observation of museum visitors |
Type |
Journal Article |
Year ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2016 |
Publication |
Multimedia Tools and Applications |
Abbreviated Journal |
MTAP |
Volume |
75 |
Issue |
7 |
Pages |
3787-3811 |
Keywords |
Computer vision; Video surveillance; Cultural heritage; Multimedia museum; Personalization; Natural interaction; Passive profiling |
Abstract |
The amount of multimedia data collected in museum databases is growing fast, while the capacity of museums to display information to visitors is acutely limited by physical space. Museums must seek the perfect balance of information given on individual pieces in order to provide sufficient information to aid visitor understanding while maintaining sparse usage of the walls and guaranteeing high appreciation of the exhibit. Moreover, museums often target the interests of average visitors instead of the entire spectrum of different interests each individual visitor might have. Finally, visiting a museum should not be an experience contained in the physical space of the museum but a door opened onto a broader context of related artworks, authors, artistic trends, etc. In this paper we describe the MNEMOSYNE system that attempts to address these issues through a new multimedia museum experience. Based on passive observation, the system builds a profile of the artworks of interest for each visitor. These profiles of interest are then used to drive an interactive table that personalizes multimedia content delivery. The natural user interface on the interactive table uses the visitor’s profile, an ontology of museum content and a recommendation system to personalize exploration of multimedia content. At the end of their visit, the visitor can take home a personalized summary of their visit on a custom mobile application. In this article we describe in detail each component of our approach as well as the first field trials of our prototype system built and deployed at our permanent exhibition space at LeMurate (http://www.lemurate.comune.fi.it/lemurate/) in Florence together with the first results of the evaluation process during the official installation in the National Museum of Bargello (http://www.uffizi.firenze.it/musei/?m=bargello). |
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Springer US |
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ISSN |
1380-7501 |
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Notes |
LAMP; 601.240; 600.079 |
Approved |
no |
Call Number |
Admin @ si @ KBL2016 |
Serial |
2520 |
Permanent link to this record |