Risultati di ricerca
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Connor, R., Vadicamo, L., Rabitti, F.: “High-Dimensional Simplexes for Supermetric Search”. In Proceedings of SISAP 2017, Springer International Publishing (Lecture Notes in Computing Science),pp. 96-109, October 2017
In a metric space, triangle inequality implies that, for any three objects, a triangle with edge lengths corresponding to their pairwise distances can be formed. The n-point property is a generalisation of this where, for any (n+1) objects in the space,...
https://phd.dii.unipi.it/pubblicazioni/item/1666-connor,-r-,-vadicamo,-l-,-rabitti,-f-“high-dimensional-simplexes-for-supermetric-search”-in-proceedings-of-sisap-2017,-springer-international-publishing-lecture-notes-in-computing-science-,pp-96-109,-october-2017.html -
Vadicamo, L., Carrara, F., Cimino, A., Cresci, S., Dell'Orletta, F., Falchi, F., Tesconi, M.: “Cross-Media Learning for Image Sentiment Analysis in the Wild”. In Proceedings of the International Conference on Computer Vision (ICCV) Workshops,Oct 2017
Much progress has been made in the field of sentiment analysis in the past years. Researchers relied on textual data for this task, while only recently they have started in- vestigating approaches to predict sentiments from multime- dia content. With...
https://phd.dii.unipi.it/pubblicazioni/item/1667-vadicamo,-l-,-carrara,-f-,-cimino,-a-,-cresci,-s-,-dell-orletta,-f-,-falchi,-f-,-tesconi,-m-“cross-media-learning-for-image-sentiment-analysis-in-the-wild”-in-proceedings-of-the-international-conference-on-computer-vision-iccv-workshops,oct-2017.html -
Amato, G., Falchi, F., and Vadicamo, L. : “Aggregating binary local descriptors for image retrieval”. Multimedia Tools and Applications (MTAP). pp. 1-31., March 2017
Content-Based Image Retrieval based on local features is computationally expensive because of the complexity of both extraction and matching of local feature. On one hand, the cost for extracting, representing, and comparing local visual descriptors has...
https://phd.dii.unipi.it/pubblicazioni/item/1668-amato,-g-,-falchi,-f-,-and-vadicamo,-l-“aggregating-binary-local-descriptors-for-image-retrieval”-multimedia-tools-and-applications-mtap-pp-1-31-,-march-2017.html -
Amato, G., Mannocci, A., Vadicamo L., and, Zoppi, F.: “Coping with interoperability in cultural her-itage data infrastructures: the Europeana network of Ancient Greek and Latin Epigraphy”, In Proceedings of AIUCD 2017, January 2017
The Cultural Heritage (CH) community is one of the most active in the realisation of Aggregative Data Infrastructures (ADIs). ADIs provide tools to integrate data sources to form uniform and richer information spaces. The realisation of ADIs for CH must...
https://phd.dii.unipi.it/pubblicazioni/item/1665-amato,-g-,-mannocci,-a-,-vadicamo-l-,-and,-zoppi,-f-“coping-with-interoperability-in-cultural-her-itage-data-infrastructures-the-europeana-network-of-ancient-greek-and-latin-epigraphy”,-in-pro-ceedings-of-the-6th-aiucd-conference-2017-aiucd-2017.html -
Barsocchi P., Basile D., Candela L., Ciancia V., Delle Piane M., Esuli A., Ferrari A., Girardi M., Gui-dotti R., Lonetti F., Moroni D., Nardini F. M., Rinzivillo S., Vadicamo L. ISTI Young Research Award 2017. Technical report, 2017.
The ISTI Young Researcher Award is an award for young people of Institute of Information Science and Technologies (ISTI) with high scientific production. In particular, the award is granted to young staff members (less than 35 years old) by assessing...
https://phd.dii.unipi.it/pubblicazioni/item/1664-barsocchi-p-,-basile-d-,-candela-l-,-ciancia-v-,-delle-piane-m-,-esuli-a-,-ferrari-a-,-girardi-m-,-gui-dotti-r-,-lonetti-f-,-moroni-d-,-nardini-f-m-,-rinzivillo-s-,-vadicamo-l-isti-young-research-award-2017-technical-report,-2017.html -
G. Amato, P. Bolettieri, F. Falchi, L. Vadicamo: “Sistema di riconoscimento delle immagini e mobile app”, Forma Urbis, vol. XXI (1) pp. 22 - 25. E.S.S. Editorial Service System, January 2016.
In this paper, we present a system for visually retrieving ancient inscriptions, developed in the context of the ongoing Europeana network of Ancient Greek and Latin Epigraphy (EAGLE) EU Project. The system allows the user in front of an inscription...
https://phd.dii.unipi.it/pubblicazioni/item/1119-g-amato,-p-bolettieri,-f-falchi,-l-vadicamo-“sistema-di-riconoscimento-delle-immagini-e-mobile-app”,-forma-vrbis,-vol-xxi-1-pp-22-25-e-s-s-editorial-service-system,-january-2016.html -
G.Amato,F.Falchi,C.Gennaro,L.Vadicamo:“Deep Permutations: Deep Convolutional Neural Networks and Permutation Based Indexing”,9th International Conference on Similiarty Search and Applications (SISAP 2016). Springer International Publishing, Oct 2016
The activation of the Deep Convolutional Neural Networks hidden layers can be successfully used as features, often referred as Deep Features, in generic visual similarity search tasks. Recently scientists have shown that permutation-based methods o ffer...
https://phd.dii.unipi.it/pubblicazioni/item/1118-g-amato,f-falchi,c-gennaro,l-vadicamo-“deep-permutations-deep-convolutional-neural-networks-and-permutation-based-indexing”,9th-international-conference-on-similiarty-search-and-applications-sisap-2016-springer-international-publishing,-oct-2016.html -
R. Connor, L. Vadicamo, F. A. Cardillo, F. Rabitti: “Supermetric Search with the Four-Point Proper-ty”, Proceedings of the 9th International Conference on Similiarty Search and Applications (SISAP 2016). Springer International Publishing. Oct 2016
Metric indexing research is concerned with the efficient evaluation of queries in metric spaces. In general, a large space of objects is arranged in such a way that, when a further object is presented as a query, those objects most similar to the query...
https://phd.dii.unipi.it/pubblicazioni/item/1117-r-connor,-l-vadicamo,-f-a-cardillo,-f-rabitti-“supermetric-search-with-the-four-point-proper-ty”,-proceedings-of-the-9th-international-conference-on-similiarty-search-and-applications-sisap-2016-springer-international-publishing-oct-2016.html -
G. Amato, F. Falchi, F. Rabitti, and L. Vadicamo: “Combining Fisher Vector and Convolutional Neural Networks for image retrieval”, In Proceedings 7th Italian Information Retrieval Workshop (IIR 2016), CEUR Workshop Proceedings, May 2016
Abstract. Fisher Vector (FV) and deep Convolutional Neural Network (CNN) are two popular approaches for extracting e ective image representations. FV aggregates local information (e.g., SIFT) and have been state-of-the-art before the recent success of...
https://phd.dii.unipi.it/pubblicazioni/item/1116-g-amato,-f-falchi,-f-rabitti,-and-l-vadicamo-“combining-fisher-vector-and-convolutional-neu-ral-networks-for-image-retrieval”,-in-proceedings-7th-italian-information-retrieval-workshop-iir-2016-,-ceur-workshop-proceedings,-may-2016.html -
G. Amato,P. Bolettieri,F. Falchi,C. Gennaro,L. Vadicamo:"Using Apache Lucene to Search Vector of Locally Aggregated Descriptors",Proceedings of the 11th International Conference on Computer Vision Theory and Applications- Volume 4: VISAPP, Feb 2016
Abstract : Surrogate Text Representation (STR) is a profitable solution to efficient similarity search on metric space using conventional text search engines, such as Apache Lucene. This technique is based on comparing the permutations of some reference...
https://phd.dii.unipi.it/pubblicazioni/item/1115-g-amato,-p-bolettieri,-f-falchi,-c-gennaro,-l-vadicamo-using-apache-lucene-to-search-vector-of-locally-aggregated-descriptors-,-in-proceedings-of-the-11th-international-conference-on-com-puter-vision-theory-and-applications-volume-4-visapp.html -
G. Amato, F. Falchi, L. Vadicamo: "How Effective Are Aggregation Methods on Binary Features?", In: Proceedings of the 11th International Conference on Computer Vision Theory and Applications- Volume 4: VISAPP 2016, pages 566-573, February 2016
During the last decade, various local features have been proposed and used to support Content Based Image Retrieval and object recognition tasks. Local features allow to effectively match local structures between images, but the cost of extraction and...
https://phd.dii.unipi.it/pubblicazioni/item/1114-g-amato,-f-falchi,-l-vadicamo-how-effective-are-aggregation-methods-on-binary-features-,-in-proceedings-of-the-11th-international-conference-on-computer-vision-theory-and-applications-volume-4-visapp-2016,-pages-566-573,-february-2016.html -
R. Connor, F. A. Cardillo, L. Vadicamo, F. Rabitti: "Hilbert Exclusion: Improved Metric Search through Finite Isometric Embeddings", ACM Transactions on Information Systems (TOIS), 35(3), 17, June 2017
Most research into similarity search in metric spaces relies upon the triangle inequality property. This property allows the space to be arranged according to relative distances to avoid searching some subspaces. We show that many common metric spaces,...
https://phd.dii.unipi.it/pubblicazioni/item/1113-r-connor,-f-a-cardillo,-l-vadicamo,-f-rabitti-hilbert-exclusion-improved-metric-search-through-finite-isometric-embeddings-,-acm-transactions-on-information-systems-tois-,-35-3-,-17,-june-2017.html -
G. Amato, F. Falchi, L. Vadicamo: "Visual Recognition of Ancient Inscriptions using Convolutional Neural Network and Fisher Vector ", Journal on Computing and Cultural Heritage (JOCCH), 9(4), 21, December 2016
By bringing together the most prominent European institutions and archives in the eld of Classical Latin and Greek epigraphy, the EAGLE project has collected the vast majority of the surviving Greco-Latin inscriptions into a single readily-searchable...
https://phd.dii.unipi.it/pubblicazioni/item/1112-g-amato,-f-falchi,-l-vadicamo-visual-recognition-of-ancient-inscriptions-using-convolutional-neural-network-and-fisher-vector-,-journal-on-computing-and-cultural-heritage-jocch-,-9-4-,-21,-december-2016.html -
P. Bolettieri, V. Casarosa, F. Falchi, L. Vadicamo, P. Martineau, S. Orlandi and R. Santucci: "Searching the EAGLE epigraphic material through image recognition via a mobile device", SISAP 2015, October 2015
This demonstration paper describes the mobile application developed by the EAGLE project to increase the use and visibility of its epigraphic material. The EAGLE project (European network of Ancient Greek and Latin Epigraphy) is gathering a...
https://phd.dii.unipi.it/pubblicazioni/item/658-p-bolettieri,-v-casarosa,-f-falchi,-l-vadicamo,-p-martineau,-s-orlandi-and-r-santucci-searching-the-eagle-epigraphic-material-through-image-recognition-via-a-mobile-device-,-in-press.html -
G. Amato, P. Bolettieri, F. Falchi, F. Rabitti, L. Vadicamo: "Visual Recognition in the EAGLE Project", Proceedings of the 6th Italian Information Retrieval Workshop (IIR 2015), Cagliari, Italy, May 25-26, 2015
In this paper, we present a system for visually retrieving ancient inscriptions, developed in the context of the ongoing Europeana network of Ancient Greek and Latin Epigraphy (EAGLE) EU Project. The system allows the user in front of an inscription...
https://phd.dii.unipi.it/pubblicazioni/item/650-g-amato,-p-bolettieri,-f-falchi,-f-rabitti,-l-vadicamo-visual-recognition-in-the-eagle-project-,-proceedings-of-the-6th-italian-information-retrieval-workshop-iir-2015,-ceur-workshop-pro-ceedings,-2015.html
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