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Machine Learning Advances aiding Recognition and Classification of Indian Monuments and Landmarks [article]

Aditya Jyoti Paul, Smaranjit Ghose, Kanishka Aggarwal, Niketha Nethaji, Shivam Pal, Arnab Dutta Purkayastha
2021 arXiv   pre-print
Recently, machine learning approaches revolving around the usage of monument pictures have been shown to be useful for rudimentary analysis of heritage sights.  ...  Traditionally, tour guides or academic professionals who study these heritage monuments were responsible for providing information to the visitors regarding their architectural and historical significance  ...  Monument recognition and classification comes under the broader domain of landmark recognition.  ... 
arXiv:2107.14070v1 fatcat:vw7r4hc32bbidkhl5z3s7254v4

Improving Landmark Recognition using Saliency detection and Feature classification [article]

Akash Kumar, Sagnik Bhowmick, N. Jayanthi, S. Indu
2018 arXiv   pre-print
We proposed an ensemble network for the purpose of classification of Indian Landmark Images.  ...  Image Landmark Recognition has been one of the most sought-after classification challenges in the field of vision and perception.  ...  [14] devised an architecture using visual descriptors and Bag-of-Words for Image-based Monument Classification.  ... 
arXiv:1811.12748v1 fatcat:bbfsc2ncufcmjpayvv6pc6vhya

Image based Monument Recognition using Graph based Visual Saliency

Georgios Triantafyllidis, Gregory Kalliatakis
2013 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
This article presents an image-based application aiming at simple image classification of well-known monuments in the area of Heraklion, Crete, Greece.  ...  Experiments are performed to verify that the proposed approach improves the time needed for the classification without affecting the correctness of the results.  ...  In this context we developed an application for simple image classification of well-known monuments in the geographic area of Heraklion, Crete, Greece.  ... 
doi:10.5565/rev/elcvia.524 fatcat:tnujrokwtbhrveanwq74jm5d64

A Novel approach for Retrieval of Historical Monuments Images using Visual Contents and Unsupervised Machine Learning

Jaimala Jha
2020 International Journal of Advanced Trends in Computer Science and Engineering  
Structure orientation also plays a vital role for identification and recognition of monuments images. Using content based image retrieval our proposed approach provides a solution of this problem.  ...  The experiments show the performance of proposed approach which gives 97% accuracy for retrieval of monument images.  ...  The proposed method contains features like Region of Interest, Fast discrete curvelet transform (FDCT) and GLCM. Deep Neural Network is used for classification o the images categories.  ... 
doi:10.30534/ijatcse/2020/162932020 fatcat:bfu7hciksnhitncld6t5xysgfu

ANALYZING DIFFERENT ALGORITHMS AND TECHNIQUES TO FIND OPTICAL CHARACTER RECOGNITION FOR TAMIL SCRIPTS

Rajkumar N
2020 JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES  
A variety of algorithms have been analyzed for OCR texts for Tamils, and ancient letter conversion still has a big challenge to convert ancient Tamils into today's digital text format for Tamils.  ...  This paper focuses mainly in particular on OCR for the digitalization and conservation of texts and inscriptions in the Tamil language.  ...  Fast ICA also has a hard time isolating outlets for insecure or locked sources [XVI] .  ... 
doi:10.26782/jmcms.2020.02.00029 fatcat:t3szo4mhavcvjluba6mhysdre4

Indian Monuments Classification using Support Vector Machine

Malay S. Bhatt, Tejas P. Patalia
2017 International Journal of Electrical and Computer Engineering (IJECE)  
Once the feature vector had been constructed, classification was performed using Linear SVM. The Database of 10 popular Indian monuments was generated with 50 images for each class.  ...  Classification of the monuments is helpful to hoteliers for the development of a new hotel with state of the art amenities, to travel service providers, to restaurant owners, to government agencies for  ...  [17] , [18] highlighted the importance of classified query for content based image recognition based on niblack's thresholding.  ... 
doi:10.11591/ijece.v7i4.pp1952-1963 fatcat:5p7nayzwqbcsrjg5pieym2ctae

ASSESSING PHOTOGRAMMETRY ARTIFICIAL INTELLIGENCE IN MONUMENTAL BUILDINGS' CRACK DIGITAL DETECTION

Said Maroun, Mostafa Khalifa, Nabil Mohareb
2022 Architecture and Planning Journal  
In this context, Beirut's enormous 4th of August 2020 explosion damaged an estimated 640 historical monuments, many volunteers assess damages for more than a year to prevent the more crucial risk of demolitions  ...  Natural and human-made disasters have significant impacts on monumental buildings, threatening them from being deteriorated.  ...  Display and Recognition of the Images This section describes the fundamental framework for crack detection using image recognition.  ... 
doi:10.54729/optg2546 fatcat:alms6kto2bfwdk6fdqby2ihcvu

ARCHITECTURE RECOGNITION BY MEANS OF CONVOLUTIONAL NEURAL NETWORKS

L. N. Andrianaivo, R. D'Autilia, V. Palma
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This work presents the steps and results of the prototype development of a mobile app to perform monument recognition using convolutional neural networks.  ...  However, while some research already applies deep learning image recognition in an urban context, the literature on how to develop effective neural networks to detect architectural features is still limited  ...  Compared to other datasets for object recognition, the collection of monument images from such a small area poses some challenges.  ... 
doi:10.5194/isprs-archives-xlii-2-w15-77-2019 fatcat:cpd3y4lafjbutj4ciwug3kts44

Recognition of materials and damage on historical buildings using digital image classification

José E. Meroño, Alberto J. Perea, María J. Aguilera, Ana M. Laguna
2015 South African Journal of Science  
This type of classification requires prior segmentation, defined as the search for homogeneous regions in an image. The second step is the classification process of these regions based on examples.  ...  We have shown that multispectral classification with visible and near-infrared bands increased the degree of recognition among different damages.  ...  A confusion matrix was prepared to evaluate the reliability of the classification made based on the compositions of images taken of the monument ( Table 3 ).  ... 
doi:10.17159/sajs.2015/20140001 fatcat:cpkv4d7lqfaf7lkb7siultbspq

A Framework for Exploring Churches/Monuments/Museums of Byzantine Cultural Influence Exploiting Immersive Technologies in Real-Time Networked Environments

Katerina Kontopanagou, Athanasios Tsipis, Vasileios Komianos
2021 Technologies  
This paper presents the state of the art in approaches for immersive experiences in Digital Culture, reviews the current image recognition approaches and their suitability for Byzantine paintings, proposes  ...  Under the framework introduced in this paper, camera input is uploaded to a cloud/fog computing infrastructure where appropriate algorithms and services provide monument and painting recognition and the  ...  In addition, other image-based services, e.g., identification of a painting's theme, recognition of personalities in it, etc., demand fast image recognition and other image processing functionality.  ... 
doi:10.3390/technologies9030057 fatcat:reg5xp4fsvc7rh235vnlln3u74

TOWARDS DEEP LEARNING FOR ARCHITECTURE: A MONUMENT RECOGNITION MOBILE APP

V. Palma
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The first steps and results in the development of a mobile app to recognize monuments are discussed.  ...  </strong> In recent years, the diffusion of large image datasets and an unprecedented computational power have boosted the development of a class of artificial intelligence (AI) algorithms referred to  ...  RELATED WORKS Deep learning and monument recognition AI is now experiencing a very fast development.  ... 
doi:10.5194/isprs-archives-xlii-2-w9-551-2019 fatcat:ubjmztzalbhbtj57zp4pn45b6e

Multiclassification of license plate based on deep convolution neural networks

Masar Abed Uthaib, Muayad Sadik Croock
2021 International Journal of Power Electronics and Drive Systems (IJPEDS)  
of 600 images as 200 images for each class (160 for training and 40 for validation sets).  ...  For calculating and optimizing the efficiency of the classification model, a categorical cross-entropy and Adam optimizer used with a learning rate was 0.0001.  ...  Categorization of the model into three groups (the Rizal monument series sticker for new vehicles, Rizal monument series, 2014 series).  ... 
doi:10.11591/ijece.v11i6.pp5266-5276 fatcat:5mrhikbc2vbodozrmtbiqr4nma

A Navigation and Augmented Reality System for Visually Impaired People

Alice Lo Valvo, Daniele Croce, Domenico Garlisi, Fabrizio Giuliano, Laura Giarré, Ilenia Tinnirello
2021 Sensors  
In recent years, we have assisted with an impressive advance in augmented reality systems and computer vision algorithms, based on image processing and artificial intelligence.  ...  In particular, we present ARIANNA+, an extension of ARIANNA, a system explicitly designed for visually impaired people for indoor and outdoor localization and navigation.  ...  ., Italy, for covering publication expenses. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21093061 pmid:33924773 fatcat:fpwormauznbeveqc6cbkuy5ay4

ALEPPO - BEFORE AND AFTER

G. Fangi
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
It was an unique opportunity to perform 3D surveys of some noticeable buildings and monuments affected by the war. The paper shows some 3D results and comparisons for same monuments.  ...  The used technique is spherical photogrammetry, based on panoramic images and ad-hoc processing processes.  ...  Reme Sakr, of the Living Heritage programme, of the Syrian Trust for Developments, to her colleague Jean, to my precious guides Rasha and Jihad for bringing me around Syria and allow me to visit and survey  ... 
doi:10.5194/isprs-archives-xlii-2-w9-333-2019 fatcat:yqo3ckkv5ze2ldpcoc7i7onype

Image and Video Processing for Cultural Heritage

Vincent Charvillat, Anna Tonazzini, Luc Van Gool, Nikos Nikolaidis
2009 EURASIP Journal on Image and Video Processing  
During the last three decades, researchers in the field of imaging science have started to contribute a growing set of tools for cultural heritage, thereby providing indispensable support to these efforts  ...  On the other hand, a substantial body of work wants to ensure its preservation for future generations.  ...  In the paper "Optical music recognition for scores written in white mensural notation," L. J.  ... 
doi:10.1155/2009/163064 fatcat:bphaqjnsmjaozp4m62xwg6scza
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