ACM Journal on

Computing and Cultural Heritage (JOCCH)

Latest Articles

Rule-Based Generation of Ancient Chinese Architecture from the Song Dynasty

Ancient Chinese architecture from the Song dynasty is a prominent example of the ancient oriental architectures. The cai-fen system was a module... (more)

Methodological Framework for the Design and Development of Applications for Reactivation of Cultural Heritage

The need to preserve and live in cities with value and care for cultural heritage makes information... (more)

Displacement Mapping as a Metric Tool for Optimizing Mesh Models Originated by 3D Digitization

In the past 20 years, several methods have been proposed for re-coding 3D models with a... (more)

Corpus COFLA

Flamenco is a music tradition from Southern Spain that attracts a growing community of enthusiasts around the world. Its unique melodic and rhythmic elements, the typically spontaneous and improvised interpretation, and its diversity regarding styles make this still largely undocumented art form a particularly interesting material for musicological... (more)

Families and Mobile Devices in Museums

This article presents an observational study of eight families engaging with a bespoke tablet experience produced for a space science centre. It documents the various ways in which family members orientate themselves to the usage of technology in this environment, with a particular focus on the work done to manage the tablet and facilitate the... (more)


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.

Forthcoming Articles

Interactive 3D Segmentation of Rock-Art by Enhanced Depth Maps and Gradient Preserving Regularization

Petroglyphs (rock engravings) have been pecked and engraved by humans into natural rock surfaces thousands of years ago and are among the oldest artifacts that document early human life and culture. Some of these rock engravings have survived until the present and serve today as a unique document of ancient human life. Since petroglyphs are pecked into the surface of natural rocks they are threatened by environmental factors as weather and erosion. To document and preserve these valuable artifacts of human history the 3D digitization of rock surfaces has become a suitable approach due to the development of powerful 3D reconstruction techniques in recent years. The results of 3D reconstruction are huge 3D point clouds which represent the local surface geometry in high resolution. In this paper, we present an automatic 3D segmentation approach that is able to extract rock engravings from reconstructed 3D surfaces. To solve this computationally complex problem, we transfer the task of segmentation to the image-space in order to efficiently perform segmentation. Adaptive learning is applied to realize interactive segmentation and a gradient preserving energy minimization assures smooth boundaries for the segmented figures. Our experiments demonstrate the efficiency and the strong segmentation capabilities of the approach. The precise segmentation of petroglyphs from 3D surfaces provides the foundation for compiling large petroglyph databases which can then be indexed and searched automatically.

Pattern matching and the analysis of damaged ancient objects: the case of the column drum

We describe a common problem in the curating and analysis of archaeological materials: restoring the orientation and dimensions of damaged objects. Our focus is a common architectural type in Mediterranean sites, the Doric column drum, which we investigate at one of the earliest and best-preserved Doric temples in the Greek world, the Hera temple at Olympia. The 3D modeling and analysis of this building by the Digital Architecture Project since 2013 has revealed new insights into the construction history of its stone colonnades. This paper concerns the analysis of the 3D models of the in situ material, using the almost 100 fallen drums and capitals to digitally reconstruct the colonnades. In order to accomplish this, we propose two novel methods for training the machine to estimate the dimensions of a fragmentary column drum. One approach is a modification of ICP, where the fragment is compared to an intact, ideal model of a drum, which is resized iteratively until concluding with a satisfactory fit. Another approach recasts the scan data into polar coordinates and uses RANSAC to identify the exterior profiles of the piece and remove points likely to belong to damaged areas. The filtered points are then examined by the algorithm to estimate the radii and taper of the fluting. Besides saving a great deal of time in the field, we demonstrate that the accuracy of these methods exceeds that which can be attained manually, with estimates correct to within 0.2% of the total radius for well-preserved material, and 1% for even the most fragmentary drums at Olympia. These data have allowed the digital reconstruction of 80% of the displaced drums and all of the capitals from Olympia. Our algorithms can be used to measure any fluted column drums, and we discuss the potential value of our approach for other categories of archaeological artifacts.

Classification and Retrieval of Archaeological Potsherds using Histograms of Spherical Orientations

We address the problem of statistical description of 3D surfaces with purposes of automatic classification of archaeological potsherds. This is a particularly interesting problem in archaeology, as pottery constitutes the major type of findings in archaeological excavations, and their analysis brings relevant cues for understanding the daily life of ancient groups. In particular, we introduce a new local shape descriptor for 3D surfaces, which we have named Histogram of Spherical Orientations (HoSO), and that we use in combination with a bag-of-words approach to compute visual similarity between 3D surfaces. Namely, given a point of interest, its local shape descriptor (HoSO) captures the distribution of the spherical orientations of its neighboring points. In turn, those spherical orientations are computed with respect to the point of interest itself, both in the azimuth and the zenith axis. Besides being invariant to scale transformations, and highly robust to rotation and noise, the proposed HoSO descriptor is efficient as it exploits the information of the position of the 3D points in the model only, and disregards other type of information like faces. We performed experiments on a set of 3D surfaces representing potsherds from the Teotihuacan civilization. Our results show that our methodology is effective for describing 3D models, and that it improves classification performance with respect to previous local descriptors.

Analysing the Decorative Style of 3D Heritage Collections based on Shape Saliency

As technologies for 3D acquisition become widely available, it is expected that 3D content documenting heritage artefacts will become increasingly popular. Nevertheless, to provide access and enable the creative use of this content, it is necessary to address challenges for its access. These include the automatic enrichment of 3D content with suitable metadata so that content does not get lost. To address these challenges, this paper presents research on developing technologies to support the organisation and discoverability of 3D content in the Cultural Heritage (CH) domain. This research takes advantage on the fact that heritage artefacts have been designed throughout the centuries with distinctive design styles. Hence, the shape and the decoration of an artefact can provide significant information on the history of the artefact. Hence, the main contributions of the paper include an ontology for documenting 3D representations of heritage artefacts decorated with ornament, such as architectural mouldings. In addition, the paper presents a complementary shape analysis method based on shape saliency to improve the automatic classification of the artefact semantic information based on its 3D shape. This method is tested on a collection of Regency ornament mouldings found in domestic interiors. This content provides a rich dataset on which to explore issues common to many CH artefacts, such as design styles and decorative ornament.

Improving Archaeologists Online Archive Experiences Through User-Centred Design

Traditionally, the preservation of archaeological data has been limited by the cost of materials and the physical space required to store them, but for the last 20 years, increasing amounts of digital data have been generated and stored online. New techniques like digital photography and document scanning have dramatically increased the amount of data that can be retained in digital format, while at the same time reducing the physical cost of production and storage. Vast numbers of hand written notes, grey literature documents, images of assemblages, contexts, and artefacts have been made available online. However, accessing these repositories is not always straightforward. Superficial interaction design, sparsely populated metadata, and heterogeneous schemas may prevent the user from working the data that they need within archaeological archives. In this paper, we present the work of the Digging into Archaeological Data and Image Search Metadata project (DADAISM), a multidisciplinary project that draws together the work of researchers from the fields of archaeology, interaction design, image processing and text mining to create a user centred interactive system that supports archaeologists in their tasks when working with digital image and document archives. By building on the existing broad literature on archive users, and adopting a user centered approach with techniques in contextual design, we designed and evaluated an interactive system that successfully integrates image based retrieval and improved metadata searching to provide access to documents that were previously difficult to search. We also demonstrate that the user-centred design approach has allowed us to acquire new knowledge on how archaeologists enter two distinct phases of work during information seeking tasks, which can be used as inspiration for future interactive systems.


The European Holocaust Research Infrastructure Portal

Over the course of the last century there have been significant changes in the practices of archives driven by the massive increase in the volume of records for archiving, a larger and more diverse user base and the digital turn. This paper analyses work undertaken by the European Holocaust Research Infrastructure project (EHRI) to develop heritage archives into research infrastructures by connecting their knowledge and making it relevant for research. In the paper, we focus on EHRI's work on an integrated collection portal; acting as a central gateway to the rich information on Holocaust-related sources. At the time of writing, the portal contains over 150,000 descriptions of over 1,850 institutions that hold Holocaust-related archival material in 51 countries. In addition, it hosts a range of other services, concise reports that provide in-depth per-country information about the Holocaust history and archival situation in 47 countries as well as research guides. The paper presents how the EHRI portal work connects to the state-of-the-art of heritage portals and the novel solutions we had to develop to align the portal with the requirements of a research infrastructure.

Using n-grams to identify time periods of cultural influence

An authors literary style is influenced by the cultural time period in which the author lives. The authors ideas, and the words chosen to express them, can help identify the cultural time period that most influenced the author. Ideas are expressed in language through sequences of words called n-grams. Over the past several years, Google has been engaged in digitizing millions of books. As part of this endeavor, Google has created a database of n-grams extracted from these digitized books, and has made the database available to researchers online. This is the first time ever that such an extensive repository of cultural data has been made available. This study develops and tests an original method for utilizing Googles database to identify the cultural time period that most influenced the author of a published work. Several undisputed literary works are examined, from which sets of n-grams are extracted and compared against the Google database. The frequency and distribution of n-gram matches allow us to determine the cultural time period that most influenced the author. The method is also tested against several literary works having uncertain or disputed authorship and period of composition. The results suggest that the method developed provides a reasonable approximation of the time period of greatest cultural influence for each book. Unexpectedly, the results tend to support conclusions reached by another researcher with regard to prior literary influences on the Ern Malley Poems. In addition, they lend support to early 19th century origins for authorship of Book of Mormon.

Visual Recognition of Ancient Inscriptions using Convolutional Neural Network and Fisher Vector

By bringing together the most prominent European institutions and archives in the field of Classical Latin and Greek epigraphy, the EAGLE project is collecting the vast majority of the surviving Greco-Latin inscriptions into a single readily-searchable database. To retrieve information about ancient inscriptions (or about other artifacts), text-based search engines are typically adopted. These systems require that the users formulate a text query that contains information, as the place where the object was been found or where it is actually located. Conversely, visual search system can be used to provide information to users (as tourist and scholars) in a most intuitive and immediate way: just using an image as query. In this paper, we provide an exhaustive comparison of several approaches for visual recognizing ancient inscriptions in order to find the most prominent approach to search EAGLE repository by using a photo as query. To date, just the Bag-of-(Visual)Words (BoW) and the Vector of Locally Aggregated Descriptors (VLAD) techniques have been already tested on this scenario. Our experiments, conducted on 17,155 photos related to 14,560 inscriptions, showed that BoW and VLAD are outperformed by both Fisher Vector (FV) and Convolutional Neural Networks (CNN) features. More interestingly, combining FV and CNN features into a single image representation allowed us to achieve very high effectiveness by correctly recognizing the query inscription in more than 90% of the cases. Our results suggest that combinations of FV and CNN could be further exploited in order to effectively perform visual retrieval of other kind of objects related to cultural heritage, such as landmarks and monuments.

Evaluating Shape Representations for Maya Glyph Classification

Shape representations are critical for visual analysis of cultural heritage materials. This paper studies two type of shape representations in a bag-of-words based pipeline to recognize Maya glyphs. The first type of representation is a knowledge-driven, orientation histogram descriptor (termed HOOSC), and the second one is a data-driven representation obtained by applying an unsupervised sparse autoencoder (SA). In addition to the glyph data, the generalization ability of the descriptors is investigated on a larger-scale sketch data. The contributions of this paper are three-fold. 1) evaluation of the suitability of a data-driven auto-encoder approach for shape representation; 2) a comparative study of hand-designed HOOSC and data-driven SA; and 3) an experimental protocol to assess the effect of the different parameters of the representation. From our experiments, the data-driven representation performs overall in par with hand-designed representation for similar locality sizes in which the descriptor is computed. We also observe that a larger number of hidden units, the use of average pooling, and a larger training data size in the SA representation all improved the descriptor performance. Additionally, the characteristics of the data and stroke size plays an important role in the learned representation.

The Digital Music Lab: A Big Data Infrastructure for Digital Musicology

In musicology and music research generally, the increasing availability of digital music, storage capacities and computing power both 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 music data that are increasingly becoming available require research methods and systems that work on the collection-level and at scale. Although many relevant algorithms have been developed during the last 15 years of research in Music Information Retrieval, an integrated system that supports large-scale digital musicology research has so far been lacking. In the Digital Music Lab (DML) project, a collaboration between music librarians, musicologists, computer scientists, and human-computer interface specialists, the DML software system has been developed that fills this gap by providing intelligent large-scale music analysis with a user-friendly interactive interface supporting musicologists in their exploration and enquiry. The DML system empowers musicologists by addressing several challenges: distributed processing of audio and other music data, management of the data analysis process and results, remote analysis of data under copyright, logical inference on the extracted information and metadata, and visual web-based interfaces for exploring and querying the music collections. The DML system is scalable and based on Semantic Web technology and integrates into Linked Data with the vision of a distributed system that enabling music research across archives, libraries and other providers of music data. A first DML system prototype has been set up in collaboration with the British Library and I Like Music Ltd. This system has been used to analyse a diverse corpus of currently 250,000 music tracks. In this article we describe the DML system requirements, design, architecture, components, available data sources, explaining their interaction. We report use cases and applications with initial evaluations of the proposed system.

Digital Monte Prama: Exploring large collections of detailed 3D models of sculptures

We present and evaluate a scalable interactive system for the exploration of large collections of detailed 3D digital models of sculptures. The system has been applied to the valorization of the Mont'e Prama complex, an extraordinary collection of protostoric Mediterranean sculptures, which depict models of cone-shaped stone towers, as well as larger-than-life human figures. The software architecture is based on scalable components for efficient distribution and adaptive rendering of extremely detailed surface meshes with overlaid information. The user interface, based on a simple and effective interactive camera controller tailored for touch interaction, has been designed for targeting both small screens and large display systems. The system components have been integrated in different interactive applications, ranging from large-screen museal setups and low end mobile devices both with very high visual quality. The large scale system has been installed in a variety of temporal and permanent exhibitions, and has been extensively used by tens of thousands of visitors. We analyze in this paper the data gathered during a 20 month period in the National Archaeological Museum in Cagliari and a 6 months period in the Civic Museum in Cabras, for a total of over 67K exploration sessions.

Sampled 3D models for CH applications: A viable and enabling new medium or just a technological exercise?

Access to recorded interviews: A research agenda

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

Research challenges for digital archives of 3D cultural heritage models

Dynamic shading enhancement for reflectance transformation imaging

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

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

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


Publication Years 2008-2016
Publication Count 144
Citation Count 264
Available for Download 144
Downloads (6 weeks) 674
Downloads (12 Months) 10622
Downloads (cumulative) 60604
Average downloads per article 421
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
Marco Callieri 5
Ruggero Pintus 4
Matteo Dellepiane 4
Enrico Gobbetti 4
Livio Luca 3
Martin Doerr 3
Massimiliano Corsini 3
Angeliki Antoniou 2
David Mortimore 2
Thomas Funkhouser 2
Alan Chalmers 2
Valentina Fiore 2
Alessandro De Gloria 2
George Lepouras 2
Fabio Marton 2
Volker Settgast 2
Anke Lüdeling 2
Paolo Cignoni 2
Hijung Shin 2
Lily Diaz 2
Gregory Crane 2
Rudolf Gschwind 2
Riccardo Berta 2
Nick Corps 2
Carlos Sanchez-Belenguer 2
Eduardo Vendrell-Vidal 2
Francesco Bellotti 2
Nadine Couture 2
Fabio Bettio 2
Markku Reunanen 2
Graham Bell 2
Stephen Laycock 2
Dieter Fellner 2
Szymon Rusinkiewicz 2
Tim Weyrich 2
Alberto Villanueva 2
Donato Malerba 1
Germana Barone 1
Fabio Gadducci 1
Christine Chevrier 1
Claudia Barberis 1
Eliana Siotto 1
Fabrice Evrard 1
Matthias Zeppelzauer 1
Alain Bonardi 1
Nazrita Ibrahim 1
Kyriakos Herakleous 1
Fumio Okura 1
Giorgio Trumpy 1
Immanuel Normann 1
Alejandro León 1
M Luzón 1
Stuart Dunn 1
Elwira Holowko 1
Jeffrey Trevino 1
Jonathan Roberts 1
Jaime Kaminski 1
Panagiotis Ritsos 1
Claus Madsen 1
Michael Zollhöfer 1
Ivor Pridden 1
Paolo Cignoni 1
Massimo Zancanaro 1
Liz Sonenberg 1
Maria Melo 1
Christian Pere 1
Irving Finkle 1
Judith Aston 1
Fabio Remondino 1
Luís Magalhães 1
João Moura 1
David Koller 1
Zhijun Sun 1
Blanca Acuña 1
Cataldo Musto 1
Marco De Gemmis 1
Sven Schutte 1
D Drinkwater 1
Andreas Vlachopoulos 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
Giovanni Puglisi 1
Dalibor Mitrović 1
Fabiana Zeppa 1
David Smith 1
Guido Brunnett 1
Yiping Hung 1
Albert Kavelar 1
Klaus Riede 1
Masayuki Kanbara 1
Kirk Woolford 1
Xuan Wang 1
Franciska De Jong 1
Hera Almpanoudi 1
Robert Sitnik 1
Maria Moritz 1
Andrew Wilson 1
Jacob Madsen 1
Christian Siegl 1
Jaakko Suominen 1
Christopher Schwartz 1
Patrick Marais 1
Sadek Jbara 1
A Miranda 1
Jérémy Laviole 1
Xavier Granier 1
S Baldissini 1
Eva Pietroni 1
Kaizhong Zhang 1
Stefano Girardi 1
Alessandro Rizzi 1
Michael Hofer 1
Uğur Güdükbay 1
Isaac Besora 1
Claus Fleischer 1
Rachid Thami 1
Efstathios Stavrakis 1
Yiorgos Chrysanthou 1
Zhi Gao 1
Claudio Gennaro 1
Angelos Yannopoulos 1
Chaya Liebeskind 1
Jonathan Schler 1
Michael Kolomenkin 1
Ayellet Tal 1
César Gonzalez-Perez 1
Wei Ma 1
Yizhou Wang 1
Xin Ma 1
Wen Gao 1
Michela Mortara 1
Lauto Magnani 1
Emilio Merella 1
Chiara Leoni 1
Roberto Turco 1
Maarten Heerlien 1
Kirsten Van Hulsen 1
Andreas Reichinger 1
Nadine Kroher 1
José Díaz-Báñez 1
S Siano 1
S May 1
I Finkel 1
Irene Rubino 1
Christian Breiteneder 1
Cecilia Pisa 1
Stefano Capuzzi 1
Alexandra Poulovassilis 1
Chihhao Yu 1
Vincenzo Lombardo 1
Willemijn Heeren 1
Greta Franzini 1
Raimund Karl 1
Seren Griffiths 1
Anna Sivula 1
Michael Weinmann 1
Karl Grieser 1
Tsvi Kuflik 1
Timothy Baldwin 1
Elisa Bertino 1
Teresa Romao 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
Greg Humphreys 1
Douglas Troy 1
Özgür Ulusoy 1
Jordi Moyes 1
Giovanni Semeraro 1
Christos Doumas 1
Stephan Schreiber 1
Klaus Hinzen 1
Veronica Sundstedt 1
Silvia Biasotti 1
Mo Shan 1
Bilal Hijazi 1
Emmanuelle Seguin 1
Debra Norris 1
Suzanne De Jong-Kole 1
Stephanie Schnorr 1
Corey Toler-Franklin 1
Christian Diaz 1
Joaquin Mora 1
P Nieri 1
G Cox 1
Filippo Stanco 1
Markus Seidl 1
Santanu Chaudhury 1
Hiranmay Ghosh 1
David Bamman 1
Martin Kampel 1
Karl Lampe 1
Nazlena Mohamad Ali 1
Irene Katsouri 1
Douglas Oard 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
A Ricardo 1
R Castro 1
R Carvalho 1
Fabien Moutarde 1
Patrick Reuter 1
Athina Kritsotaki 1
Paul Matthews 1
Patrick Reuter 1
Guillaume Riviere 1
Stefania Serafin 1
Yann Gousseau 1
Barbara Thuswaldner 1
Alexandrino Gonçalves 1
Alessandro Foni 1
Victor Obonyo 1
Ismet Yalniz 1
Peter Fornaro 1
Guido Ranzuglia 1
Pere Brunet 1
Pasquale Lops 1
Jeremy Hutchings 1
Michela Spagnuolo 1
Bertrand Chemisky 1
Giuseppe Amato 1
Hadas Zohar 1
Tobias Nöll 1
Tanguy Coenen 1
Lien Mostmans 1
Daniel O’donnell 1
David Buglio 1
Holly Rushmeier 1
Benedict Brown 1
Stefan Maierhofer 1
Davide Angheleddu 1
Fabio Fumarola 1
Carmen Diaz-Marin 1
Yahya Slimani 1
Bilel Elayeb 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
Daniel Aliaga 1
Tarquinio Mota 1
Leith Chan 1
Marcos Rodriguez 1
Katerina Boutsika 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
George Papagiannakis 1
Nadia Magnenat-Thalmann 1
Florian Muller 1
Zheng Lu 1
Antoni Chica 1
Yingqing Xu 1
Mohamed Djibril 1
Diego Gutierrez 1
Stephania Himona 1
Djamel Merad 1
Jean Boï 1
Ido Dagan 1
Max Arends 1
Jane Tarakhovsky 1
Joost Van Leusen 1
Ying Yang 1
Amy Friedlander 1
David Dobkin 1
Gabriele Guidi 1
I Cacciari 1
Antonio Felle 1
Miguel Sanchez-Lopez 1
Giovanni Cignoni 1
George Roussos 1
Ibrahim Bounhas 1
Wenching Liao 1
Mengchieh Yu 1
Sebastian Zambanini 1
Genfang Chen 1
Dolores Iorizzo 1
Sven Helmer 1
Juan Torres 1
Rossana Damiano 1
Maciej Karaszewski 1
Min Kim 1
Irma Passeri 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
Marco Agus 1
Mark Stevenson 1
Stephanie Mahut 1
Mark Mudge 1
Lorenzo Gonzo 1
Antonio Camurri 1
Hilke Thur 1
Michael Ashley 1
Jonathan Smith 1
Robert Laycock 1
Andrea Cerri 1
Julien Seinturier 1
Gowri Somanath 1
Charlotte Hug 1
Chihhong Huang 1
Boriana Koleva 1
Maria Roussou 1
Alonzo Addison 1
Sofia Pescarin 1
Camilo Mesias 1
Michelangelo Ceci 1
Paolo Mazzoleni 1
Tommi Horttana 1
Jetmir Xhembulla 1
Giovanni Malnati 1
Theano Moussouri 1
Christian Hörr 1
Elisabeth Lindinger 1
Chunko Hsieh 1
Khurshid Ahmad 1
Jerome Barthelemy 1
Noor Mohd Yatim 1
Aimilia Tzanavari 1
Richard Brownlow 1
Ryohei Nakatsu 1
Adrian Cheok 1
Craig Sapp 1
Roeland Ordelman 1
Erica Calogero 1
Barbara Pavlek 1
Helen Miles 1
Ben 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
Lukas Rosenthaler 1
Daryl Baldwin 1
Ruth Tringham 1
Wei Luo 1
Moshe Ben-Ezra 1
Michael Brown 1
Kenneth Steiglitz 1
Torsten Ullrich 1
Fermin Gomez 1
Andreas Aristidou 1
Pierre Drap 1
Lior Shamir 1
Josef Froschauer 1
Dieter Merkl 1
Yiting Huang 1
Niels Raes 1
Patrick Brundell 1
Steve Benford 1
C Chaffardon 1
Zhongke Wu 1
Maria Zapata 1
Emilia GóMez 1
Gianvito Pio 1
Stefano Paci 1
Elvira Aura-Castro 1
Amir Zeldes 1
Daniel Isemann 1
Charalambos Poullis 1
Naokazu Yokoya 1
Luciana Martins 1
Jane Hunter 1
David Tidmarsh 1
Antonio Pizzo 1
David Mimno 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
Nuno Correia 1
Sotiris Manitsaris 1
Frédéric Bevilacqua 1
Brett Ridel 1
M Gaiani 1
Sarah Kenderdine 1
Emmanuel Durand 1
Frédéric Mérienne 1
Andrea Adami 1
Loic Espinasse 1
Bin Ma 1
Panayiotis Roussopoulos 1
Yogesh Garg 1
Thomas Hurtut 1
James Clarke 1
Cinzia Perlingieri 1
Ismail Altingövde 1
Atte Timonen 1
Fedelucio Narducci 1
Andrew Day 1
Luc Long 1
Fabrizio Falchi 1
George Leifman 1
Rohith Mv 1
Johannes Kohler 1
Kris Naessens 1
Daniele Mori 1
Vanessa Lardinois 1
Antonio Castañeda 1
Jin Liu 1

Affiliation Paper Counts
University of Padua 1
Frederick University Cyprus 1
Universite Victor Segalen Bordeaux 2 1
Austrian Academy of Sciences 1
University of Ioannina 1
University of Applied Sciences of Karlsruhe 1
Universiti Tenaga Nasional 1
Xi'an University of Finance and Economics 1
The University of Hong Kong 1
Spanish National Research Council 1
University of Leipzig 1
University of Zagreb 1
Free University of Bozen-Bolzano 1
Technical University of Darmstadt 1
King's College London 1
Ionian University 1
City University of Hong Kong 1
University of Waterloo 1
University of Massachusetts Amherst 1
Imperial College London 1
Ain Shams University 1
Xi'an Jiaotong University 1
Celal Bayar University 1
Polytechnic School of Montreal 1
Foundation for Research and Technology-Hellas 1
Monash University 1
University of Maryland 1
University of Bristol 1
University of Surrey 1
Universite Paris 1 Pantheon-Sorbonne 1
Massachusetts Institute of Technology 1
Ecole Centrale Paris 1
University of Lethbridge 1
Catholic University of Leuven 1
University of Thessaly 1
University of Bologna 1
University of New South Wales 1
Polytechnic Institute of Leiria 1
Universite Paris Descartes 1
University of Milan 1
University of Bath 1
IRIT Institut de Recherche Informatique de Toulouse 1
Ecole des Mines de Paris 1
Scuola Normale of Pisa 1
Korea Advanced Institute of Science & Technology 1
University of Cagliari 1
Tata Consultancy Services India 1
Hangzhou Normal University 1
Cultural Heritage Imaging, California 1
Universite de Bordeaux 1
E2v 1
University of Nicosia 1
Royal College of Art 1
Shenzhen University 1
Universiti Kebangsaan Malaysia 2
Istituto Di Fisica Applicata Nello Carrara 2
The British Museum 2
Lawrence Technological University 2
VRVis Research Center 2
Chemnitz University of Technology 2
Purdue University 2
University of Oslo 2
University of Dublin, Trinity College 2
National Taipei University of Technology 2
Stanford University 2
University of Tras-os-Montes and Alto Douro 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
The University of Warwick 2
Manchester Metropolitan University 2
Tufts University 2
Beijing Normal University 2
Politecnico di Milano 2
University of Turku School of Cultural Production and Landscape Studies 2
TELECOM ParisTech 2
University of Queensland 2
University of Gottingen 2
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
Faculty of Social Sciences and Humanities, Universidade Nova de Lisboa 2
University of Cape Town 3
Cyprus University of Technology 3
Miami University Oxford 3
Marche Polytechnic University 3
Aberystwyth University 3
Vrije Universiteit Brussel 3
University of Melbourne 3
University of California, Berkeley 3
Nara Institute of Science and Technology 3
University of Cologne 3
Technion - Israel Institute of Technology 3
Aalborg University 3
University of Virginia 3
University of Twente 3
Peking University 3
Institut de Recherche et Coordination Acoustique Musique 3
University of Turin 3
University of Catania 3
University of Brighton 3
University of Geneva 3
University of Sheffield 3
University of Erlangen-Nuremberg 3
Arts et Metiers ParisTech 3
Bilkent University 4
University of Cyprus 4
Humboldt University of Berlin 4
German Research Center for Artificial Intelligence (DFKI) 4
Bar-Ilan University 4
Warsaw University of Technology 4
University of Peloponnese 4
National Taiwan University 4
University of Bonn 4
Universitat Politecnica de Catalunya 4
Universidad de Medellin 4
Universidad Politecnica de Valencia 4
Polytechnic Institute of Turin 4
Universidad de Granada 4
Institute of Computer Science Crete 4
New University of Lisbon 4
Xiamen University 4
University of Nottingham 4
University of Athens 4
National Technical University of Athens 5
University of Pisa 5
Microsoft Research Asia 5
Aix Marseille Universite 5
University of Delaware 5
University of Basel 6
Bangor University 6
University of East Anglia 6
Birkbeck University of London 6
Graz University of Technology 6
University of Haifa 7
Aalto University 7
National University of Singapore 7
Italian National Research Council 8
CNRS Centre National de la Recherche Scientifique 8
Yale University 9
Princeton University 10
University of Bari 10
University College London 11
University of Genoa 13
Vienna University of Technology 15
Istituto di Scienza e Tecnologie dell'Informazione A. Faedo 22
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