research-article

Image Recognition and Augmented Reality in Cultural Heritage Using OpenCV

Authors:

Alba Amato,

Salvatore Venticinque,

Beniamino Di MartinoAuthors Info & Claims

MoMM '13: Proceedings of International Conference on Advances in Mobile Computing & Multimedia

Pages 53 - 62

https://doi.org/10.1145/2536853.2536878

Published: 02 December 2013 Publication History

Get Access

Abstract

Cultural heritage often fails to represent a successful attraction because it is not able to capture the interest of tourists. Sometimes the presentation of an archaeological site cannot be improved because of legal or environmental constraints. Sometimes it is really difficult to recognize the relevant details or to understand its significance. A new way of exploiting archaeological sites in a more informative and intuitive way is needed. It is necessary to provide people with information and contents, for understanding the world around them, and with the possibility to interact with those places or objects in real time. Image recognition and analysis is a promising technology that can be applied in this field. In this paper we use in indoor, but also in outdoor scenarios, image recognition for the content discovery service. In particular search by sample facilities are speed-up and improved using a position based filtering. Moreover it is used to extract semantic from subjects in order to personalize the discovery and recommendation according to the user's profile.

References

[1]

A. Amato, B. Di Martino, M. Scialdone, and S. Venticinque. Personalized recommendation of semantically annotated media contents. In F. Zavoral, J. J. Jung, and C. Badica, editors, IDC, volume 511 of Studies in Computational Intelligence, pages 261--270. Springer, 2013.

Google Scholar

[2]

A. Amato, B. Di Martino, and S. Venticinque. Bdi intelligent agents for augmented exploitation of pervasive environments. In G. Fortino, A. Garro, L. Palopoli, W. Russo, and G. Spezzano, editors, WOA, volume 741 of CEUR Workshop Proceedings, pages 81--88. CEUR-WS.org, 2011.

Google Scholar

[3]

A. Amato, B. Di Martino, and S. Venticinque. Semantic brokering of multimedia contents for smart delivery of ubiquitous services in pervasive environments. IJIMAI, 1(7):16--25, 2012.

Crossref

Google Scholar

[4]

A. Amato, B. Di Martino, and S. Venticinque. Semantically augmented exploitation of pervasive environments by intelligent agents. In ISPA, pages 807--814, 2012.

Digital Library

Google Scholar

[5]

R. Aversa, B. Di Martino, and S. Venticinque. Distributed agents network for ubiquitous monitoring and services exploitation. volume 2, pages 197--204, 2009.

Digital Library

Google Scholar

[6]

H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool. Speeded-up robust features (surf). Comput. Vis. Image Underst., 110(3):346--359, June 2008.

Digital Library

Google Scholar

[7]

D. Lowe. Distinctive image features from scale-invariant keypoints, cascade filtering approach. International Journal of Computer Vision, 60(2):91--110, January 2004.

Digital Library

Google Scholar

[8]

F. Moscato, B. Di Martino, S. Venticinque, and A. Martone. Overfa: A collaborative framework for the semantic annotation of documents and websites. International Journal of Web and Grid Services, 5(1):30--45, 2009.

Digital Library

Google Scholar

[9]

M. Muja and D. Lowe. Flann - fast library for approximate nearest neighbors - user manual, 2009. {Online; 26-July-2013}.

Google Scholar

[10]

OpenCV. Opencv - open source computer vision, 2013. {Online; 26-July-2013}.

Google Scholar

[11]

P. Petridis, D. Pletinckx, K. Mania, and M. White. The epoch multimodal interface for interacting with digital heritage artefacts. In Proceedings of the 12th international conference on Interactive Technologies and Sociotechnical Systems, VSMM'06, pages 408--417, Berlin, Heidelberg, 2006. Springer-Verlag.

Digital Library

Google Scholar

[12]

G. Renda, S. Gigli, A. Amato, S. Venticinque, B. Di Martino, and F. R. Cappa. Mobile devices for the visit of "anfiteatro campano" in santa maria capua vetere. In EuroMed, volume 7616, pages 281--290. Springer, 2012.

Digital Library

Google Scholar

[13]

V. Vlahakis, J. Karigiannis, M. Tsotros, M. Gounaris, L. Almeida, D. Stricker, T. Gleue, I. T. Christou, R. Carlucci, and N. Ioannidis. Archeoguide: first results of an augmented reality, mobile computing system in cultural heritage sites. In Proceedings of the 2001 conference on Virtual reality, archeology, and cultural heritage, VAST '01, pages 131--140, New York, NY, USA, 2001. ACM.

Digital Library

Google Scholar

[14]

M. Zoellner, A. Pagani, Y. Pastarmov, H. Wuest, and D. Stricker. Reality filtering: a visual time machine in augmented reality. In Proceedings of the 9th International conference on Virtual Reality, Archaeology and Cultural Heritage, VAST'08, pages 71--77, Aire-la-Ville, Switzerland, Switzerland, 2008. Eurographics Association.

Digital Library

Google Scholar

Cited By

View all

Ju F(2024)Mapping the Knowledge Structure of Image Recognition in Cultural Heritage: A Scientometric Analysis Using CiteSpace, VOSviewer, and BibliometrixJournal of Imaging10.3390/jimaging1011027210:11(272)Online publication date: 26-Oct-2024
https://doi.org/10.3390/jimaging10110272
Zaifri MKhalloufi HKaghat FAzough AZidani K(2023)From Earlier Exploration to Advanced Applications: Bibliometric and Systematic Review of Augmented Reality in the Tourism Industry (2002–2022)Multimodal Technologies and Interaction10.3390/mti70700647:7(64)Online publication date: 26-Jun-2023
https://doi.org/10.3390/mti7070064
Pisnyi OKit ILipianina-Honcharenko KSieck JSachenko ADobrowolski MSapozhnyk G(2023)AR Intelligent Real-time Method for Cultural Heritage Object Recognition2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT)10.1109/AICT61584.2023.10452426(62-66)Online publication date: 21-Nov-2023
https://doi.org/10.1109/AICT61584.2023.10452426
Show More Cited By

Index Terms

Image Recognition and Augmented Reality in Cultural Heritage Using OpenCV
1. Human-centered computing
2. Information systems
  1. Information systems applications

Recommendations

A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage

A multimedia approach to the diffusion, communication, and exploitation of Cultural Heritage (CH) is a well-established trend worldwide. Several studies demonstrate that the use of new and combined media enhances how culture is experienced. The benefit ...
Virtual and augmented reality for cultural computing and heritage: a case study of virtual exploration of underwater archaeological sites (preprint)

The paper presents different issues dealing with both the preservation of cultural heritage using virtual reality (VR) and augmented reality (AR) technologies in a cultural context. While the VR/AR technologies are mentioned, the attention is paid to ...
Application of Virtual Reality Technology in the Protection of Intangible Cultural Heritage: —Take the “Lion dance” in Shehuo as an example
ICMSSP '22: Proceedings of the 2022 7th International Conference on Multimedia Systems and Signal Processing

China is an ancient civilization with a long history and culture, and has accumulated many precious cultural heritages over thousands of years. Intangible cultural heritage is a very important part of it. Because the intangible cultural heritage is ...

Comments

Information & Contributors

Information

Published In

MoMM '13: Proceedings of International Conference on Advances in Mobile Computing & Multimedia

December 2013

599 pages

ISBN:9781450321068

DOI:10.1145/2536853

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

@WAS: International Organization of Information Integration and Web-based Applications and Services

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 December 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article
Research
Refereed limited

Conference

MoMM '13

MoMM '13: The 11th International Conference on Advances in Mobile Computing & Multimedia

December 2 - 4, 2013

Vienna, Austria

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
455
Total Downloads

Downloads (Last 12 months)31
Downloads (Last 6 weeks)7

Reflects downloads up to 18 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Ju F(2024)Mapping the Knowledge Structure of Image Recognition in Cultural Heritage: A Scientometric Analysis Using CiteSpace, VOSviewer, and BibliometrixJournal of Imaging10.3390/jimaging1011027210:11(272)Online publication date: 26-Oct-2024
https://doi.org/10.3390/jimaging10110272
Zaifri MKhalloufi HKaghat FAzough AZidani K(2023)From Earlier Exploration to Advanced Applications: Bibliometric and Systematic Review of Augmented Reality in the Tourism Industry (2002–2022)Multimodal Technologies and Interaction10.3390/mti70700647:7(64)Online publication date: 26-Jun-2023
https://doi.org/10.3390/mti7070064
Pisnyi OKit ILipianina-Honcharenko KSieck JSachenko ADobrowolski MSapozhnyk G(2023)AR Intelligent Real-time Method for Cultural Heritage Object Recognition2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT)10.1109/AICT61584.2023.10452426(62-66)Online publication date: 21-Nov-2023
https://doi.org/10.1109/AICT61584.2023.10452426
Tsoukalos DTriantfyllou VKotsopoulos KTsolis D(2022)AitoloakarnaniaFortifications: An AR application for the promotion of the fortifications of Aitoloakarnania2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)10.1109/IISA56318.2022.9904396(1-6)Online publication date: 18-Jul-2022
https://doi.org/10.1109/IISA56318.2022.9904396
Verykokou SBoutsi AIoannidis C(2021)Mobile Augmented Reality for Low-End Devices Based on Planar Surface Recognition and Optimized Vertex Data RenderingApplied Sciences10.3390/app1118875011:18(8750)Online publication date: 20-Sep-2021
https://doi.org/10.3390/app11188750
Bekele MPierdicca RFrontoni EMalinverni EGain J(2018)A Survey of Augmented, Virtual, and Mixed Reality for Cultural HeritageJournal on Computing and Cultural Heritage 10.1145/314553411:2(1-36)Online publication date: 22-Mar-2018
https://dl.acm.org/doi/10.1145/3145534
Chalvatzaras DYiannoutsou NSintoris CAvouris N(2014)Do you remember that building? Exploring old Zakynthos through an augmented reality mobile game2014 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL2014)10.1109/IMCTL.2014.7011136(222-225)Online publication date: Nov-2014
https://doi.org/10.1109/IMCTL.2014.7011136

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage

Virtual and augmented reality for cultural computing and heritage: a case study of virtual exploration of underwater archaeological sites (preprint)

Application of Virtual Reality Technology in the Protection of Intangible Cultural Heritage: —Take the “Lion dance” in Shehuo as an example