research-article

Connoisseur: classification of styles of Mexican architectural heritage with deep learning and visual attention prediction

Authors:

Abraham Montoya Obeso,

Mireya S. García Vázquez,

Alejandro A. Ramírez Acosta,

Jenny Benois-PineauAuthors Info & Claims

CBMI '17: Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing

Article No.: 16, Pages 1 - 7

https://doi.org/10.1145/3095713.3095730

Published: 19 June 2017 Publication History

Abstract

The automatic description of multimedia content was mainly developed for classification tasks, retrieval systems and massive ordering of data. Preservation of cultural heritage is a field of high importance for application to this method. Our problem is classification of architectural styles of buildings in digital photographs of Mexican cultural heritage. The selection of relevant content in the scene for training classification models allows them to be more precise in the classification task. Here we use a saliency-driven approach to predict visual attention in images and use it to train a Convolutional Neural Network to identify the architectural style of Mexican buildings. Also, we present an analysis of the behavior of the models trained under the traditional cropped image and the prominence maps. In this sense, we show that the performance of the saliency-based CNNs is better than the traditional training reaching a classification rate of 97% in validation dataset. It is considered that style identification with this technique can make a wide contribution in video description tasks, specifically in the automatic documentation of Mexican cultural heritage.

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Cited By

Sasithradevi ASabarinathan Shoba SRoomi SPrakash P(2024)KolamNetV2: efficient attention-based deep learning network for tamil heritage art-kolam classificationHeritage Science10.1186/s40494-024-01167-812:1Online publication date: 19-Feb-2024
https://doi.org/10.1186/s40494-024-01167-8
Pujari LGanamukhi PAdur S(2024)Utilizing Deep Learning Techniques for Categorizing Architectural Heritage Images2024 Second International Conference on Advances in Information Technology (ICAIT)10.1109/ICAIT61638.2024.10690689(1-5)Online publication date: 24-Jul-2024
https://doi.org/10.1109/ICAIT61638.2024.10690689
Zu XGao CWang Y(2024)Interpreting regional characteristics of Tibetan-Qiang houses in Northwestern Sichuan by Deep Learning and Image LandscapeInternational Journal of Applied Earth Observation and Geoinformation10.1016/j.jag.2024.103865129(103865)Online publication date: May-2024
https://doi.org/10.1016/j.jag.2024.103865
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Index Terms

Connoisseur: classification of styles of Mexican architectural heritage with deep learning and visual attention prediction
1. Applied computing
  1. Arts and humanities
2. Computing methodologies
  1. Artificial intelligence
  2. Machine learning
    1. Machine learning algorithms

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cover image ACM Other conferences

CBMI '17: Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing

June 2017

237 pages

ISBN:9781450353335

DOI:10.1145/3095713

Copyright © 2017 ACM.

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]

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Published: 19 June 2017

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CBMI '17

CBMI '17: International Workshop on Content-Based Multimedia Indexing

June 19 - 21, 2017

Florence, Italy

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Cited By

Sasithradevi ASabarinathan Shoba SRoomi SPrakash P(2024)KolamNetV2: efficient attention-based deep learning network for tamil heritage art-kolam classificationHeritage Science10.1186/s40494-024-01167-812:1Online publication date: 19-Feb-2024
https://doi.org/10.1186/s40494-024-01167-8
Pujari LGanamukhi PAdur S(2024)Utilizing Deep Learning Techniques for Categorizing Architectural Heritage Images2024 Second International Conference on Advances in Information Technology (ICAIT)10.1109/ICAIT61638.2024.10690689(1-5)Online publication date: 24-Jul-2024
https://doi.org/10.1109/ICAIT61638.2024.10690689
Zu XGao CWang Y(2024)Interpreting regional characteristics of Tibetan-Qiang houses in Northwestern Sichuan by Deep Learning and Image LandscapeInternational Journal of Applied Earth Observation and Geoinformation10.1016/j.jag.2024.103865129(103865)Online publication date: May-2024
https://doi.org/10.1016/j.jag.2024.103865
Kumar PGupta VGrover M(2024)Dual attention and channel transformer based generative adversarial network for restoration of the damaged artworkEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107457128:COnline publication date: 14-Mar-2024
https://dl.acm.org/doi/10.1016/j.engappai.2023.107457
Kumar PGupta V(2024)Preserving Artistic Heritage: A Comprehensive Review of Virtual Restoration Methods for Damaged ArtworksArchives of Computational Methods in Engineering10.1007/s11831-024-10175-7Online publication date: 5-Sep-2024
https://doi.org/10.1007/s11831-024-10175-7
Han QYin C(2023)Architectural style classification of the Chinese traditional settlements using deep learningInternational Conference on Geographic Information and Remote Sensing Technology (GIRST 2022)10.1117/12.2667749(139)Online publication date: 10-Feb-2023
https://doi.org/10.1117/12.2667749
Kukreja VSharma RBordoloi D(2023)Application of Deep Learning Strategy for Multi-classification of Indian Heritage Images2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT56998.2023.10307029(1-5)Online publication date: 6-Jul-2023
https://doi.org/10.1109/ICCCNT56998.2023.10307029
Nagpal YJindal VKukreja VVats SSharma R(2023)Deep Learning Multiclassification Model: Recognizing Monuments2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)10.1109/ICAISS58487.2023.10250711(315-319)Online publication date: 23-Aug-2023
https://doi.org/10.1109/ICAISS58487.2023.10250711
Li MYu YWei HChan T(2023)Classification of the qilou (arcade building) using a robust image processing framework based on the Faster R-CNN with ResNet50Journal of Asian Architecture and Building Engineering10.1080/13467581.2023.223803823:2(595-612)Online publication date: 29-Jul-2023
https://doi.org/10.1080/13467581.2023.2238038
Pandi GAggarwal K(2023)Deep Learning-Based 3-D Model for the Cultural Heritage Sites in the State of Gujarat, IndiaArtificial Intelligence and Sustainable Computing10.1007/978-981-99-1431-9_59(737-750)Online publication date: 24-Sep-2023
https://doi.org/10.1007/978-981-99-1431-9_59
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