ACM Journal on

Computing and Cultural Heritage (JOCCH)

Latest Articles

The European Holocaust Research Infrastructure Portal

Over the course of the past century, there have been significant changes in the practices of... (more)

The Digital Music Lab

In musicology and music research generally, the increasing availability of digital music, storage capacities, and computing power enable and require new and intelligent systems. In the transition from traditional to digital musicology, many techniques and tools have been developed for the analysis of individual pieces of music, but large-scale... (more)

Improving Archaeologists’ Online Archive Experiences Through User-Centred Design

Traditionally, the preservation of archaeological data has been limited by the cost of materials and... (more)


In Memoriam of David Arnold, founder EiC of JOCCH, see obituary here. David died unexpectedly on the 25th of October 2016.

JOCCH to be indexed by ISI very soon

We are pleased to inform you that JOCCH has been accepted by ISI to be included into the Science Citation Index Expanded and the Arts & Humanities Citation Index. See more information.

JOCCH indexed on SCOPUS

The figures available as of April 2016  are:
- SCImago Journal Rank: 0.437
- Impact per Publication: 0.900
- Source Normalized Impact per Paper: 1.676

For more information on these figures see here.

Call open for the special issue on "Digital Infrastructure for Cultural Heritage" (deadline on the 30th of April 2016). See more information.


ACM is endorsing ORCID, a community-based effort to create a global registry of unique researcher identifiers for the purpose of ensuring proper attribution of works to their creators. JOCCH authors are invited to create an ORCID unique researcher identifier (see at ) and to add this id at submission time.

Impact Factor Update

The journal Impact Factor (IF) is produced by ISI. A pre-condition to the application process is a record of timely publication of journal issues over a two-year period. I am pleased to announce that JOCCH followed a regular publishing schedule from 2012 through 2013 and so the procedure for requesting the ISI IF certification started early 2014. The evaluation period will take approximately two years.
In the meantime, please note that ACM JOCCH is cited and measured in SCImago and in the Elsevier's Journal Metrics system, based on Scopus data.

In Memoriam: David Arnold (1951 - 2016)

From Reassembly to Object Completion - A Complete Systems Pipeline

The problem of restoration of broken artefacts, where large parts could be missing, is of high importance in archaeology. The typical manual restoration can become a tedious and error-prone process, which also does not scale well. In recent years, many methods have been proposed for assisting the process, most of which target specialized object types or operate under very strict constraints. We propose a digital shape restoration pipeline consisting of proven, robust methods for automatic fragment reassembly and shape completion of generic three-dimensional objects of arbitrary type. In this pipeline, first we introduce a novel unified approach for handling the reassembly of objects from heavily damaged fragments by exploiting both fracture surfaces and salient features on the intact sides of fragments, when available. Second, we propose an object completion procedure based on generalized symmetries and a complementary part extraction process that is suitable for driving the fabrication of missing geometry. We demonstrate the effectiveness of our approach using real-world fractured objects and software implemented as part of the EU-funded PRESIOUS project, which is also available for download from the project site.

A Web-Based Infrastructure for the Assisted Annotation of Heritage Collections

Annotations provide a valuable perspective on the semantic information present in digital heritage collections, and in recent years theyve been employed in a number of innovative, user-centric techniques that can personalise a users experience of heritage materials, such as by actively adapting exhibits as a user reveals their interests, or by guiding users to explore collections which are meaningfully linked to what they have previously encountered. Despite the captivating opportunities offered by these techniques, collecting annotations for a large heritage collection is no trivial task. A significant amount of work is required to manually annotate large quantities of heritage materials, and automated, computational approaches leave much to be desired regarding the level of insight and semantic richness that they can currently provide. By analysing the emergent relationships between the initial annotations in a collection, we propose a novel metadata-driven algorithm for assisting and augmenting the annotation process. This algorithm, called SAGA (Semantically-Annotated Graph Analysis), allows for semi-automatic annotation, which balances the value of the contributions of human annotators with the time and effort-saving benefits of an automatic, suggestion-driven process. SAGA uses an entity relationship-driven approach to make annotation suggestions. It is used in the context of a web-based infrastructure called SAGE (Semantic Annotation by Group Exploration), a multiagent environment which assists groups of experts in creating comprehensive annotation sets for heritage collections. SAGA and SAGE are evaluated from the perspectives of suggestion accuracy, explicit user acceptance and implicit user acceptance, and demonstrate strong results in each evaluation.

Editorial: Special Issue on Digital Infrastructures for Cultural Heritage

Automatic Single Page-based Algorithms for Medieval Manuscript Analysis

We propose three automatic algorithms for analyzing digitized medieval manuscripts: text block computation, text line segmentation and special component extraction, by taking advantage of previous clustering algorithms and a template matching technique. These three methods are completely automatic, so that no user intervention or input is required to make them work. Moreover, they are all per-page based; that is, unlike some prior methods--which need a set of pages from the same manuscript for training purposes--they are able to analyze a single page without requiring any additional pages for input, eliminating the need for training on additional pages with similar layout. We extensively evaluated the algorithms on 1771 images of pages of 6 different publicly available historical manuscripts, which differ significantly from each other in terms of layout structure, acquisition resolution, and writing style, etc. The experimental results indicate that they are able to achieve very satisfactory performance, i.e., the average precision and recall values obtained by the text block computation method can reach as high as 98% and 99%, respectively.

Cultural Heritage Routing: a Recreational Navigation based Approach in Exploring Cultural Heritage

Over the last years, thematic route planning is gaining popularity in recreational navigation. A growing number of people start to use route planning services to prepare, ride, explore and log their activities, with a particular focus on where they want to ride and what they want to see. In the context of cultural heritage, however, route planners still suffer from lack of data and route weighting/scoring mechanisms for achieving end-user satisfaction. Within this paper, we take advantage of mobile sensing and geotagging (r)evolution to tackle both issues and propose a novel framework for cultural heritage routing on top of RouteYou's existing recreational navigation platform. Our first improvement focuses on the automatic collection and multimodal enrichment of thematic cultural heritage points of interest. Secondly, we introduce a weighting procedure for these points of interest and analyze their meta(data) quality and spatial coverage in our route databases. Finally, we present a novel routing algorithm targeted to cultural heritage exploration. Experimental results show that the proposed framework improves cultural heritage POI coverage and quality with respect to traditional recreational navigation routing algorithms. Furthermore, the proposed framework can easily be used in other thematic routing applications due to its generic architecture, making it a widely applicable approach.

Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation

We present a system for automatically extracting hieroglyph strokes from images of degraded ancient Maya codices. Our system adopts a region-based image segmentation framework. Multi-resolution super-pixels are first extracted to represent each image. A SVM classifier is used to label each super-pixel region with a probability to belong to foreground glyph strokes. Pixel-wise probability maps from multiple super-pixel resolution scales are aggregated to cope with various stroke widths and background noise. A fully connected Conditional Random Field (CRF) model is then applied to improve the labeling consistency. Segmentation results show that our system preserves delicate local details of the historic Maya glyphs with various stroke widths, and also reduces background noise. As an application, we conduct retrieval experiments using the extracted binary images, to further evaluate our system. Experimental results show that our automatically extracted glyph strokes achieve comparable retrieval results with what was achieved using glyphs manually segmented by epigraphers in our team. Two Maya hieroglyph image datasets are contributed, which can be used as image segmentation and shape analysis benchmarks, and also to study the ancient Maya writing system.

Automatic analysis of UV induced fluorescence imagery of historical violins

In the last years, UV induced fluorescence (UVIFL) photography proved to be very effective for studying the surface of historical musical instruments, such as violins. This technique allows to highlight superficial details not clearly perceptible with visible light, e.g. retouchings, superficial distribution of varnishes or wear. The data retrieved are also important as a guide for further not invasive spectroscopic analyses useful to investigate the chemical composition of the surface. However, the interpretation of UVIFL imagery of a historical violin is not a trivial task. In fact, the constant playing and the multiple restorations occurred during the centuries have produced very complex surfaces. This work presents an automatic tool designed to facilitate this kind of analysis. Using a quantized histogram in HSV color space it is possible to highlight the distribution of the main colors on the surface of an instrument, to find recurrence of the same color in different areas of the same violin, or to compare different violins. UVIFL images of seven Stradivari violins kept in "Museo del Violino" in Cremona (Italy) have been used as test set. The achieved results endorse the validity of the proposed approach.

A Knowledge Management Architecture For Digital Cultural Heritage

The increasing demand of technological facilities for galleries, museums and archives led to the need of designing practical and effective solutions for managing the digital life-cycle of cultural heritage collections. These facilities have to support users in addressing several challenges directly related to the creation, management, preservation, and visualization of digital collections. Such challenges include, for example, the support for a collaborative management of the produced information, their curation from a multilingual perspective in order to break the language barriers and make collections available to different stakeholders, and to provide services for exposing structured version of data to both users and machines. Platforms satisfying all these requirements have to support curators activities and, at the same time, to provide facilities for engaging the virtual consumers of the produced data. In this paper, we propose a description of an abstract architecture for managing digital collections built upon a set of components, services, and APIs able to address the challenges mentioned above. Then, an instantiation of this architecture is discussed, as well as the presentation of a use case concerning the management of a digital archive of verbo-visual art. Lessons learned from this experience are reported in order to outline future activities.


Ancient paintings can provide valuable information for historians and archeologist to study the history and humanity at the corresponding eras. How to determine the era in which a painting was created is a critical problem, since the topic of a painting can not be used as an effective basis without an era label. To address this problem, this paper proposes a novel computational method by using multi-view local color features extracted from the paintings. Firstly, we extract the multi-view local color features for all training images using a novel descriptor named Affine Lab-SIFT. Then, we can learn the codebook from all these features by K-mean clustering. Afterwords, we create feature histogram for each image in the form of bag-of-visual-words and use a supervised fashion to train a classifier, which is used for further painting classification. Experimental results from two total different datasets show the effect of the proposed classification system and the advantage of the proposed features, especially in the case of small-size training samples.

More than Meets the Eye: The Benefits of Augmented Reality and Holographic Displays for Digital Cultural Heritage

Cultural heritage artifacts connect us to past generations and provide links to previous worlds that are beyond our reach. The TombSeer application immerses the wearer in a museum space engaging two senses (sight and touch) through a holographic, augmented reality, heads-up interface that brings virtual, historical artifacts "back to life" through gestural interactivity. The purpose of the TombSeer prototype is to introduce more embodied interaction to museum visits using an emerging hardware platform for 3D interactive holographic images (e.g., META Head-mounted display) in combination with customized software. This paper discusses the first prototype case study with the Tomb of Kitines, which was conducted at The Royal Ontario Museum in Toronto, Canada. TombSeer's embodied gestural and visual augmented reality experience functions to aesthetically enhance museum exhibits, cultural heritage sites, and galleries.

Big Data meets Digital Cultural Heritage: design and implementation of SCRABS

Information and Communication technologies have radically changed the modern Cultural Heritage domain, from traditional information management system associated to cultural artifacts, to complex system containing huge quantity of informations extracted from a variety of data sources (such as Sensor Networks, Social Networks, Digital Libraries, Multimedia Collections, Web Data Service), thus providing a great number of applications that enhance the users' experience. In this paper we describe SCRABS , a Smart Context-awaRe Browsing assistant for cultural EnvironmentS, a system for managing and context-driven browsing of cultural environments, developed during the Cultural heritage Information Systems (CHIS) national project and promoted by DATABENC, the Cultural Heritage Technological District of Campania Region, Italia. SCRABS has been designed on the top of a BIG DATA technological stack, and is the results of a multidisciplinary project carried out from Computer Scientists, Archeologists, Architects and Humanities experts. We describe the main ideas beyond the proposed system, showing how it is useful in some real application scenarios located in the Paestum Archeologica Sites.

Digging Wikipedia. The online encyclopedia as digital cultural heritage gateway and site

The online encyclopedia Wikipedia is both a cultural reference to store, refer to, and organize digitized and digital information as well as a key contemporary digital heritage endeavor in itself. Capitalizing on this dual nature of the project, this article introduces Wikipedia as a digital gateway to and site of active engagement with cultural heritage. We have developed the open source and freely available analysis architecture Contropedia to examine already existing volunteer user-generated participation around cultural heritage and to promote further engagement with it. Conceptually, we employ the notion of memory work as it helps to employ Wikipedias articles, edit histories, and discussion pages as a rich resource to study how cultural heritage is received and (re-)worked in and across different languages and cultures. Contropedias architecture allows for the study of the negotiations around and appreciation of cultural heritage without assuming an unchallenged and universal understanding of cultural heritage. The analysis facilitated by Contropedia thus sheds light on the contentious articulation of perspectives on tangible and intangible heritage grounded by conflicting conceptions of events, ideas, places, or persons. Technologically, Contropedia combines techniques based on mining article edit histories and analyzing discussion patterns in talk pages to identify and visualize heritage-related disputes within an article, and to compare these across language versions. In terms of digital heritage, Contropedia presents a powerful tool that opens up a core resource to cultural heritage studies. Moreover, it can form part of a conceptually grounded, technically advanced, and practically enrolled infrastructure for public education that opens up the dynamic formation of both knowledge about cultural heritage and new forms of digital cultural heritage that show a considerable amount of friction.

Ubiquitous Access to Digital Cultural Heritage

The digitization initiatives in the past decades have lead to a tremendous increase of digitized objects in the cultural heritage domain. Although digitally available, these objects are often not easily accessible for interested users because of the distributed allocation of the content in different repositories and the variety in data structure and standards. When users search for cultural content they first need to identify the specific repository and then need to know how to search within this platform (e.g., usage of specific vocabulary). The goal of the EEXCESS project is to design and implement an infrastructure that enables ubiquitous access to digital cultural heritage data. In addition, cultural content should be made available in the channels users habitually visit and be tailored to their current context without the need to manually search multiple portals or content repositories. In order to realize this goal open-source software components and services have been developed which can either be used as an integrated infrastructure or as modular components suitable to be integrated in other products and services. The EEXCESS modules and components comprise (i) web-based context detection, (ii) information retrieval-based, federated content aggregation, (iii) metadata definition and mapping, and (iv) a component responsible for privacy-preservation. Various applications have been realized based on these components that bring cultural content to the user in content consumption and content creation scenarios. Content consumption is for example realized by a browser extension generating automatic search queries from the current page context and the focus paragraph and presenting related results aggregated from different data providers. A Google Docs add-on allows to retrieve relevant content aggregated from multiple data providers while collaboratively writing a document. These relevant resources then can be included in the current document either as citation, an image or link (with preview), without having to leave disrupt the current writing task for an explicit search in various content providers' portals.

Innovation through Large-scale Integration of Legacy Records: Assessing the ¿Value Added¿ in Cultural Heritage Resources

Using the Chaco Research Archive as a case study, in this paper we discuss the variable scales of intellectual and computational labor embedded in digital curation projects and how these layered processes all add value to digital data. We outline some of the pitfalls of conventional academic metrics for scholarly impact and provide some alternative means to assess the value of digital heritage resources. Lastly, we explore how a focused digital heritage resource can enable vast opportunities for research and foster communities of co-creation.

The arrigo showcase reloaded—towards a sustainable link between 3D and semantics

Research challenges for digital archives of 3D cultural heritage models

A taxonomy of visualization strategies for cultural heritage applications

Using ontological and document similarity to estimate museum exhibit relatedness

A visitor's guide in an active museum: Presentations, communications, and reflection

IsoCam: Interactive Visual Exploration of Massive Cultural Heritage Models on Large Projection Setups

Dynamic shading enhancement for reflectance transformation imaging

Modeling visitors' profiles: A study to investigate adaptation aspects for museum learning technologies

Nrityakosha: Preserving the intangible heritage of Indian classical dance

A serious game model for cultural heritage


Publication Years 2008-2017
Publication Count 158
Citation Count 304
Available for Download 158
Downloads (6 weeks) 1187
Downloads (12 Months) 10522
Downloads (cumulative) 65755
Average downloads per article 416
Average citations per article 2
First Name Last Name Award
Ugur Gudukbay ACM Senior Member (2008)
Tsvi Kuflik ACM Distinguished Member (2013)
ACM Senior Member (2012)
George Lepouras ACM Senior Member (2008)
Holly E Rushmeier ACM Distinguished Member (2006)

First Name Last Name Paper Counts
Roberto Scopigno 6
Enrico Gobbetti 5
Marco Callieri 5
Ruggero Pintus 4
Matteo Dellepiane 4
Fabio Marton 3
Fabio Bettio 3
Martin Doerr 3
Paolo Cignoni 3
Livio Luca 3
Massimiliano Corsini 3
Angeliki Antoniou 2
Thomas Funkhouser 2
Marcos Rodriguez 2
Gregory Crane 2
Markku Reunanen 2
Rudolf Gschwind 2
Fabrizio Falchi 2
Riccardo Berta 2
Nick Corps 2
Alessandro De Gloria 2
Carlos Sanchez-Belenguer 2
Eduardo Vendrell-Vidal 2
Marco Agus 2
Francesco Bellotti 2
Szymon Rusinkiewicz 2
Tim Weyrich 2
Matthias Zeppelzauer 2
Alberto Villanueva 2
Dieter Fellner 2
Jonathan Schler 2
Chaya Liebeskind 2
Valentina Fiore 2
Alan Chalmers 2
David Mortimore 2
Nadine Couture 2
Ido Dagan 2
George Lepouras 2
Lily Diaz 2
Hijung Shin 2
Graham Bell 2
Anke Lüdeling 2
Giuseppe Amato 2
Markus Seidl 2
Stephen Laycock 2
Christian Breiteneder 2
Volker Settgast 2
Etienne De La Vaissiere 1
Tommi Horttana 1
Paolo Mazzoleni 1
Jetmir Xhembulla 1
Giovanni Malnati 1
Theano Moussouri 1
Georg Poier 1
Christopher Power 1
Maarten De Rijke 1
Katie Green 1
Ekta Walia 1
Samer Abdallah 1
Reto Speck 1
Christian Hörr 1
Elisabeth Lindinger 1
Chunko Hsieh 1
Khurshid Ahmad 1
Jerome Barthelemy 1
Roeland Ordelman 1
Aimilia Tzanavari 1
Richard Brownlow 1
Erica Calogero 1
Ryohei Nakatsu 1
Adrian Cheok 1
Craig Sapp 1
Barbara Pavlek 1
Helen Miles 1
Benjamin Edwards 1
Katharina Moller 1
Chawee Busayarat 1
Nadav Kashtan 1
Enzhi Ni 1
Stefano Valtolina 1
Nicolas Mellado 1
Patrick Callet 1
Mark Greco 1
Annamaria D'ursi 1
Paul Clough 1
Mihalis Exarhos 1
Qing Sun 1
Hisham El-Shishiny 1
Amalia De Götzen 1
Vinay Das 1
Simon Flöry 1
Øyvind Eide 1
Ruth Tringham 1
Lukas Rosenthaler 1
Wei Luo 1
Moshe Ben-Ezra 1
Michael Brown 1
Kenneth Steiglitz 1
Torsten Ullrich 1
Fermin Gomez 1
Noor Mohd Yatim 1
Daryl Baldwin 1
Andreas Aristidou 1
Pierre Drap 1
Lior Shamir 1
Josef Froschauer 1
Dieter Merkl 1
Yiting Huang 1
Patrick Brundell 1
Steve Benford 1
C Chaffardon 1
Zhongke Wu 1
Maria Zapata 1
Emilia Gómez 1
Niels Raes 1
Raphaële Héno 1
Gianvito Pio 1
Michelangelo Ceci 1
Stefano Paci 1
Elvira Aura-Castro 1
Karina Rodriguez-Echavarria 1
Ran Song 1
Amir Zeldes 1
David Mimno 1
Julian Richards 1
Mark Eramian 1
Isaac Sijaranamual 1
Conny Kristel 1
Daniel Isemann 1
Charalambos Poullis 1
Naokazu Yokoya 1
Luciana Martins 1
Jane Hunter 1
David Tidmarsh 1
Antonio Pizzo 1
Bernard Tiddeman 1
M Vetter 1
Frank Bauer 1
Mona Hess 1
Stuart Robson 1
Margaret Serpico 1
James Gain 1
Fabian Bohnert 1
Changle Zhou 1
Andrea Adami 1
Nuno Correia 1
Sotiris Manitsaris 1
Frédéric Bevilacqua 1
M Gaiani 1
Sarah Kenderdine 1
Emmanuel Durand 1
Frédéric Mérienne 1
Loic Espinasse 1
Panayiotis Roussopoulos 1
Bin Ma 1
Yogesh Garg 1
Thomas Hurtut 1
James Clarke 1
Cinzia Perlingieri 1
İsmail Altıngövde 1
Fedelucio Narducci 1
Andrew Day 1
Brett Ridel 1
Atte Timonen 1
Luc Long 1
George Leifman 1
Rohith Mv 1
Kris Naessens 1
Daniele Mori 1
Johannes Kohler 1
Antonio Castañeda 1
Jin Liu 1
Vanessa Lardinois 1
Gulcan Can 1
Philip Sapirstein 1
Eric Psota 1
Marc Deseilligny 1
Donato Malerba 1
Fabio Gadducci 1
Christine Chevrier 1
Germana Barone 1
Claudia Barberis 1
Eliana Siotto 1
Fabrice Evrard 1
Horst Bischof 1
Michael Bryant 1
Michal Frankl 1
Alain Bonardi 1
Kyriakos Herakleous 1
Fumio Okura 1
Giorgio Trumpy 1
Immanuel Normann 1
Alejandro León 1
M Luzón 1
Stuart Dunn 1
Jaime Kaminski 1
Elwira Holowko 1
Jeffrey Trevino 1
Jonathan Roberts 1
Panagiotis Ritsos 1
Claus Madsen 1
Michael Zollhöfer 1
Ivor Pridden 1
Liz Sonenberg 1
Massimo Zancanaro 1
Maria Melo 1
Christian Pere 1
Irving Finkle 1
Judith Aston 1
João Moura 1
Fabio Remondino 1
David Koller 1
Blanca Acuña 1
Zhijun Sun 1
Marco De Gemmis 1
Cataldo Musto 1
Sven Schutte 1
Andreas Vlachopoulos 1
D Drinkwater 1
Nazrita Ibrahim 1
Luís Magalhães 1
Panayiotis Charalambous 1
Bianca Falcidieno 1
Qingquan Li 1
Ilan Shimshoni 1
Jennifer Gutierrez 1
Chandra Kambhamettu 1
Qiong Li 1
Doron Goldfarb 1
Gerd Reis 1
Didier Stricker 1
Werner Purgathofer 1
Stefan Rennick-Egglestone 1
Mauricio Hincapié 1
Jean Odobez 1
Edgar Roman-Rangel 1
Mariam Samaan 1
Giovanni Puglisi 1
Dalibor Mitrović 1
Fabiana Zeppa 1
David Smith 1
Andrew Lewis 1
Steven Hargreaves 1
Veerle Daelen 1
Rene Van Horik 1
Guido Brunnett 1
Yiping Hung 1
Albert Kavelar 1
Klaus Riede 1
Franciska De Jong 1
Masayuki Kanbara 1
Kirk Woolford 1
Hera Almpanoudi 1
Xuan Wang 1
Robert Sitnik 1
Maria Moritz 1
Andrew Wilson 1
Jacob Madsen 1
Christian Siegl 1
Christopher Schwartz 1
Patrick Marais 1
Sadek Jbara 1
Eva Pietroni 1
Teresa Romão 1
A Miranda 1
Jérémy Laviole 1
Xavier Granier 1
S Baldissini 1
Kaizhong Zhang 1
Michael Hofer 1
Stefano Girardi 1
Alessandro Rizzi 1
Uğur Güdükbay 1
Isaac Besora 1
Claus Fleischer 1
Rachid Thami 1
Jaakko Suominen 1
Efstathios Stavrakis 1
Yiorgos Chrysanthou 1
Zhi Gao 1
Claudio Gennaro 1
Michael Kolomenkin 1
Ayellet Tal 1
Angelos Yannopoulos 1
Wei Ma 1
Yizhou Wang 1
Xin Ma 1
Wen Gao 1
César Gonzalez-Perez 1
Michela Mortara 1
Lauto Magnani 1
Emilio Merella 1
Chiara Leoni 1
Roberto Turco 1
Maarten Heerlien 1
Nadine Kroher 1
José Díaz-Báñez 1
Kirsten Van Hulsen 1
Andreas Reichinger 1
Stéphane Marchand-Maillet 1
S Siano 1
S May 1
I Finkel 1
Irene Rubino 1
Cecilia Pisa 1
Brittany Chan 1
Emmanouil Benetos 1
Nicolas Gold 1
Tillman Weyde 1
Willemijn Heeren 1
Stefano Capuzzi 1
Alexandra Poulovassilis 1
Chihhao Yu 1
Greta Franzini 1
Vincenzo Lombardo 1
Raimund Karl 1
Seren Griffiths 1
Michael Weinmann 1
Karl Grieser 1
Timothy Baldwin 1
Tsvi Kuflik 1
Elisa Bertino 1
Alina Glushkova 1
Nikolaos Aletras 1
Petros Daras 1
Gianpaolo Palma 1
Constantin Papaodysseus 1
Dimitris Arabadjis 1
Michail Panagopoulos 1
Deyun Zhang 1
Yifeng Fan 1
Francis Schmitt 1
René Berndt 1
Özgür Ulusoy 1
Greg Humphreys 1
Jordi Moyes 1
Giovanni Semeraro 1
Stephan Schreiber 1
Klaus Hinzen 1
Christos Doumas 1
Veronica Sundstedt 1
Anna Sivula 1
Douglas Troy 1
Silvia Biasotti 1
Bilal Hijazi 1
Mo Shan 1
Emmanuelle Seguin 1
Debra Norris 1
Stephanie Schnorr 1
Suzanne De Jong-Kole 1
Corey Toler-Franklin 1
Christian Diaz 1
Joaquin Mora 1
Daniel Gatica-Perez 1
Gregory Knight 1
Marco Mason 1
P Nieri 1
G Cox 1
Filippo Stanco 1
Santanu Chaudhury 1
Hiranmay Ghosh 1
David Bamman 1
Martin Kampel 1
Karl Lampe 1
Douglas Oard 1
Irene Katsouri 1
Stavroula Bampatzia 1
David Arnold 1
Marc Stamminger 1
Chiara Stefani 1
Julie Lombardo 1
Philippe Véron 1
Ariel Gorfinkel 1
Xiaojun Ding 1
Athina Kritsotaki 1
A Ricardo 1
R Castro 1
R Carvalho 1
Fabien Moutarde 1
Patrick Reuter 1
Paul Matthews 1
Patrick Reuter 1
Guillaume Riviere 1
Stefania Serafin 1
Yann Gousseau 1
Barbara Thuswaldner 1
Ismet Yalniz 1
Peter Fornaro 1
Alessandro Foni 1
Guido Ranzuglia 1
Pere Brunet 1
Pasquale Lops 1
Jeremy Hutchings 1
Nazlena Mohamad Ali 1
Alexandrino Gonçalves 1
Victor Obonyo 1
Michela Spagnuolo 1
Bertrand Chemisky 1
Hadas Zohar 1
Yingqing Xu 1
Tanguy Coenen 1
Lien Mostmans 1
Tobias Nöll 1
Daniel O’donnell 1
Holly Rushmeier 1
Benedict Brown 1
Davide Angheleddu 1
Stefan Maierhofer 1
David Buglio 1
Diego Jimenez-Badillo 1
Fabio Fumarola 1
Carmen Diaz-Marin 1
Bilel Elayeb 1
Yahya Slimani 1
Samuel Schulter 1
Lucia Vadicamo 1
Gabriele Fangi 1
Anupama Mallik 1
Hagen Hirschmann 1
F Soler 1
Engtat Khoo 1
Jerzy Wojsz 1
Holly Rushmeier 1
John Ffrench 1
Frédéric Labrosse 1
Joseph Mearman 1
Serdar Aybek 1
Tonya Nelson 1
Bruce Merry 1
Oliviero Stock 1
Katerina Boutsika 1
Daniel Aliaga 1
Tarquinio Mota 1
Leith Chan 1
Michael Makridis 1
Ashraf Hussein 1
Gualtiero Volpe 1
Farida Chériet 1
Robert Kalasek 1
Qixing Huang 1
Sven Havemann 1
Bernard Frischer 1
Florian Muller 1
George Papagiannakis 1
Nadia Magnenat-Thalmann 1
Antoni Chica 1
Zheng Lu 1
Mohamed Djibril 1
Diego Gutierrez 1
Stephania Himona 1
Djamel Merad 1
Jean Boï 1
Jane Tarakhovsky 1
Max Arends 1
Joost Van Leusen 1
Ying Yang 1
David Dobkin 1
Gabriele Guidi 1
Amy Friedlander 1
Nasseh Tabrizi 1
Jacques Roger 1
I Cacciari 1
Antonio Felle 1
Giovanni Cignoni 1
Miguel Sanchez-Lopez 1
George Roussos 1
Ibrahim Bounhas 1
Christian Reinbacher 1
Helen Petrie 1
Daniel Wolff 1
Tobias Blanke 1
Wenching Liao 1
Mengchieh Yu 1
Sebastian Zambanini 1
Dolores Iorizzo 1
Sven Helmer 1
Juan Torres 1
Maciej Karaszewski 1
Min Kim 1
Irma Passeri 1
Rossana Damiano 1
B Dreyer 1
Giancarlo Amati 1
Roland Ruiters 1
Reinhard Klein 1
Shahar Kats 1
Julia Sheidin 1
Minjun Jiang 1
Jeffrey Shaw 1
Mark Stevenson 1
Stephanie Mahut 1
Mark Mudge 1
Antonio Camurri 1
Hilke Thur 1
Lorenzo Gonzo 1
Michael Ashley 1
Jonathan Smith 1
Robert Laycock 1
Genfang Chen 1
Andrea Cerri 1
Julien Seinturier 1
Gowri Somanath 1
Charlotte Hug 1
Chihhong Huang 1
Alonzo Addison 1
Sofia Pescarin 1
Boriana Koleva 1
Maria Roussou 1
Camilo Mesias 1

Affiliation Paper Counts
University of Padua 1
Emirates College of Technology 1
University of Macedonia 1
Austrian Academy of Sciences 1
University of Ioannina 1
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EHESS Ecole des Hautes Etudes en Sciences Sociales 1
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IRIT Institut de Recherche Informatique de Toulouse 1
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Tata Consultancy Services India 1
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Cultural Heritage Imaging, California 1
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E2v 1
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INRIA Institut National de Rechereche en Informatique et en Automatique 2
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East Carolina University 2
Universidad de Zaragoza 2
Mohammed V University in Rabat 2
University of the West of England 2
Maulana Azad National Institute of Technology 2
Manchester Metropolitan University 2
Queen Mary, University of London 2
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Politecnico di Milano 2
St. Polten University of Applied Sciences 2
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TELECOM ParisTech 2
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Indian Institute of Technology, Delhi 2
Universitat Pompeu Fabra 2
University of Seville 2
European Commission Joint Research Centre, Ispra 2
University of Manouba 2
Zoologisches Forschungsmuseum Alexander Koenig 2
Centro de Quimica fina e Biotecnologia 2
Fondazione Bruno Kessler 2
Universite de Bordeaux 2
Faculty of Social Sciences and Humanities, Universidade Nova de Lisboa 2
University of Cape Town 3
University of Erlangen-Nuremberg 3
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University of Turin 3
Institut de Recherche et Coordination Acoustique Musique 3
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University of Twente 3
University of Virginia 3
Aalborg University 3
Technion - Israel Institute of Technology 3
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Nara Institute of Science and Technology 3
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University of Melbourne 3
Vrije Universiteit Brussel 3
Swiss Federal Institute of Technology, Lausanne 3
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Marche Polytechnic University 3
Miami University Oxford 3
Arts et Metiers ParisTech 3
University of East Anglia 4
Humboldt University of Berlin 4
Warsaw University of Technology 4
University of Peloponnese 4
National Taiwan University 4
University of Bonn 4
Universitat Politecnica de Catalunya 4
Universidad Politecnica de Valencia 4
King's College London 4
Polytechnic Institute of Turin 4
Bilkent University 4
University of Nottingham 4
Xiamen University 4
Universidad de Granada 4
University of Athens 4
New University of Lisbon 4
Institute of Computer Science Crete 4
University of Cyprus 4
German Research Center for Artificial Intelligence (DFKI) 4
Cyprus University of Technology 4
Universidad de Medellin 4
National Technical University of Athens 5
University of Geneva 5
University of Brighton 5
University of York 5
University of Delaware 5
University of Pisa 5
Microsoft Research Asia 5
Laboratoire des sciences de l'information et des sytemes, Marseille 5
CNRS Centre National de la Recherche Scientifique 6
Birkbeck University of London 6
University of Basel 6
Bangor University 6
Bar-Ilan University 7
University of Haifa 7
National University of Singapore 7
Aalto University 7
Italian National Research Council 8
Yale University 9
Princeton University 10
Graz University of Technology 10
University of Bari 10
University College London 13
University of Genoa 13
Vienna University of Technology 16
Istituto di Scienza e Tecnologie dell'Informazione A. Faedo 25
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