ACM Journal on

Computing and Cultural Heritage (JOCCH)

Latest Articles

Digital Mont’e Prama

We present and evaluate a scalable interactive system for the exploration of large collections of detailed three-dimensional 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... (more)

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... (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.

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.


Semi-automatic Construction of Cross-period Thesaurus

A cross-period (diachronic) thesaurus enables users to search for information using modern terminology and obtain semantically related terms from earlier historical periods.The complex task of supporting the construction of a diachronic thesaurus by a domain expert lexicographer has hardly been addressed computationally till now. In this paper, we introduce a semi-automatic iterative Query Expansion (QE) scheme for supporting diachronic thesaurus construction, which identi es candidate related terms based on statistical corpus-based measures. We use ancient-modern period classi cation to increase the performance of the statistical co-occurrence measures and extend our methods to deal with Multi Word Expressions (MWEs). We demonstrate the empirical bene t of our scheme for a Jewish cross-period thesaurus and evaluate its impact on recall and on the e ectiveness of the lexicographer's manual e orts.

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.

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.

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.


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.

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.

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

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

A taxonomy of visualization strategies for cultural heritage applications

Dynamic shading enhancement for reflectance transformation imaging

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

Using ontological and document similarity to estimate museum exhibit relatedness

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

A serious game model for cultural heritage


Publication Years 2008-2016
Publication Count 150
Citation Count 271
Available for Download 150
Downloads (6 weeks) 1236
Downloads (12 Months) 10802
Downloads (cumulative) 61664
Average downloads per article 411
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
Massimiliano Corsini 3
Martin Doerr 3
Livio Luca 3
Paolo Cignoni 3
Fabio Marton 2
Szymon Rusinkiewicz 2
Tim Weyrich 2
Alberto Villanueva 2
Dieter Fellner 2
Stephen Laycock 2
Graham Bell 2
Markku Reunanen 2
Fabio Bettio 2
Volker Settgast 2
Nadine Couture 2
Angeliki Antoniou 2
David Mortimore 2
Thomas Funkhouser 2
Alan Chalmers 2
Valentina Fiore 2
Alessandro De Gloria 2
George Lepouras 2
Eduardo Vendrell-Vidal 2
Carlos Sanchez-Belenguer 2
Nick Corps 2
Riccardo Berta 2
Rudolf Gschwind 2
Gregory Crane 2
Lily Diaz 2
Hijung Shin 2
Anke Lüdeling 2
Francesco Bellotti 2
Patrick Reuter 1
Paul Matthews 1
Patrick Reuter 1
Guillaume Riviere 1
Stefania Serafin 1
Yann Gousseau 1
Barbara Thuswaldner 1
Alexandrino Gonçalves 1
Victor Obonyo 1
Ismet Yalniz 1
Peter Fornaro 1
Alessandro Foni 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
Yingqing Xu 1
Tanguy Coenen 1
Lien Mostmans 1
Tobias Nöll 1
Daniel O’donnell 1
Holly Rushmeier 1
David Buglio 1
Benedict Brown 1
Stefan Maierhofer 1
Davide Angheleddu 1
Fabio Fumarola 1
Carmen Diaz-Marin 1
Bilel Elayeb 1
Yahya Slimani 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
Tarquinio Mota 1
Leith Chan 1
Daniel Aliaga 1
Marcos Rodriguez 1
Michael Makridis 1
Ashraf Hussein 1
Robert Kalasek 1
Gualtiero Volpe 1
Farida Chériet 1
Qixing Huang 1
Sven Havemann 1
Bernard Frischer 1
Florian Muller 1
George Papagiannakis 1
Nadia Magnenat-Thalmann 1
Zheng Lu 1
Antoni Chica 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
David Dobkin 1
Amy Friedlander 1
Gabriele Guidi 1
I Cacciari 1
Antonio Felle 1
Giovanni Cignoni 1
Miguel Sanchez-Lopez 1
Ibrahim Bounhas 1
George Roussos 1
Wenching Liao 1
Mengchieh Yu 1
Sebastian Zambanini 1
Genfang Chen 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
Marco Agus 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
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
Michelangelo Ceci 1
Paolo Mazzoleni 1
Jetmir Xhembulla 1
Giovanni Malnati 1
Tommi Horttana 1
Theano Moussouri 1
Christian Hörr 1
Elisabeth Lindinger 1
Chunko Hsieh 1
Khurshid Ahmad 1
Jerome Barthelemy 1
Roeland Ordelman 1
Noor Mohd Yatim 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
Ben Edwards 1
Katharina Moller 1
Chawee Busayarat 1
Nadav Kashtan 1
Enzhi Ni 1
Nicolas Mellado 1
Stefano Valtolina 1
Patrick Callet 1
Annamaria D'ursi 1
Paul Clough 1
Mark Greco 1
Mihalis Exarhos 1
Qing Sun 1
Hisham El-Shishiny 1
Amalia De Götzen 1
Vinay Das 1
Simon Flöry 1
Øyvind Eide 1
Daryl Baldwin 1
Ruth Tringham 1
Lukas Rosenthaler 1
Moshe Ben-Ezra 1
Wei Luo 1
Michael Brown 1
Kenneth Steiglitz 1
Torsten Ullrich 1
Fermin Gomez 1
Andreas Aristidou 1
Pierre Drap 1
Josef Froschauer 1
Dieter Merkl 1
Lior Shamir 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
David Mimno 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
Nuno Correia 1
Sotiris Manitsaris 1
Frédéric Bevilacqua 1
Brett Ridel 1
M Gaiani 1
Sarah Kenderdine 1
Andrea Adami 1
Emmanuel Durand 1
Frédéric Mérienne 1
Bin Ma 1
Loic Espinasse 1
Panayiotis Roussopoulos 1
Yogesh Garg 1
Thomas Hurtut 1
Cinzia Perlingieri 1
James Clarke 1
Ismail Altingövde 1
Atte Timonen 1
Fedelucio Narducci 1
Andrew Day 1
Luc Long 1
George Leifman 1
Fabrizio Falchi 1
Rohith Mv 1
Kris Naessens 1
Daniele Mori 1
Johannes Kohler 1
Vanessa Lardinois 1
Antonio Castañeda 1
Jin Liu 1
Donato Malerba 1
Fabio Gadducci 1
Germana Barone 1
Claudia Barberis 1
Eliana Siotto 1
Fabrice Evrard 1
Christine Chevrier 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
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
Judith Aston 1
Irving Finkle 1
Luís Magalhães 1
João Moura 1
Fabio Remondino 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
Franciska De Jong 1
Masayuki Kanbara 1
Hera Almpanoudi 1
Kirk Woolford 1
Xuan Wang 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
Michael Hofer 1
Stefano Girardi 1
Alessandro Rizzi 1
Uğur Güdükbay 1
Isaac Besora 1
Claus Fleischer 1
Rachid Thami 1
Efstathios Stavrakis 1
Yiorgos Chrysanthou 1
Zhi Gao 1
Michael Kolomenkin 1
Ayellet Tal 1
Angelos Yannopoulos 1
Jonathan Schler 1
Claudio Gennaro 1
Chaya Liebeskind 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
José Díaz-Báñez 1
Nadine Kroher 1
S Siano 1
S May 1
I Finkel 1
Irene Rubino 1
Christian Breiteneder 1
Cecilia Pisa 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
Anna Sivula 1
Michael Weinmann 1
Karl Grieser 1
Timothy Baldwin 1
Tsvi Kuflik 1
Teresa Romao 1
Alina Glushkova 1
Elisa Bertino 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
Douglas Troy 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
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
Santanu Chaudhury 1
Hiranmay Ghosh 1
Markus Seidl 1
David Bamman 1
Martin Kampel 1
Karl Lampe 1
Douglas Oard 1
Nazlena Mohamad Ali 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

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
All ACM Journals | See Full Journal Index