Automatic analysis of artistic paintings using information-based measures

Silva, Jorge Miguel; Pratas, Diogo; Antunes, Rui; Matos, Sérgio; Pinho, Armando J.

doi:10.1016/j.patcog.2021.107864

Cited by 15 publications

(14 citation statements)

References 43 publications

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“…In addition, the paint should be resistant to heat and weather changes (Standeven, 2011). Painting sometimes reflects the process of delivering information to the community issues like values, norms, and customs can be presented in paintings (Silva et al, 2021). Paint application needs to be performed on a clean surface and free of contamination between the surface to be painted and the paint.…”

Section: Paintmentioning

confidence: 99%

A Mathematical Algorithm Approach for Estimating Water-Based Paint Requirements for a Given Wall

Gambi

Taifa

2023

TJET

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The research aimed to improve the accuracy of estimating water-based paint requirements for a given wall using mathematical algorithms. The approach used in this study included a survey and document review to obtain details concerning paint. The study focused on water-based paints, including silk, weather guard, emulsion hi-cover and polyvinyl acetate (PVA) roof paint used in Tanzania’s building and construction industry. Data collected from the field study were analysed systematically. It was observed that there is a high level of familiarity in improving the accuracy of estimation of the required water-based paints, namely silk, weather guard, emulsion hi-cover and PVA roof paint for a given wall. The algorithm validation was performed by benchmarking the pre-established algorithms. Validation involved conducting five experiments: the physical study by applying two paint coats on a wall and recording the results. The percentage errors of a painting by approximating the paint using the algorithm developed gives better results than that from the different projects held in Tanzania, which was taken as a sample. The novelty of this study is based on the developed mathematical algorithm. In fact, this is among the fewer studies that mainly improve the accuracy of estimating the paint required for a given wall using a mathematical algorithm in Tanzania. There are limited studies of that nature as the majority use experience, which result in higher discrepancies.

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Section: Paintmentioning

confidence: 99%

A Mathematical Algorithm Approach for Estimating Water-Based Paint Requirements for a Given Wall

Gambi

Taifa

2023

TJET

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“…Since the 2010s, there has been an explosion in the number of papers exploring art forms using computational methods ([ 5 , 6 , 7 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 ]). This has been due to the more formal organisation of image-based datasets, and the large-scale use of neural-network- and data-science-based approaches for image analysis.…”

Section: Computation and Artmentioning

confidence: 99%

“…Work by Sigaki et al [ 6 ] used local spatial patterns to determine complexity, and to chart the dynamical behaviour of this measure over millennia. Silva et al [ 7 ] used normalized compression values to operationalise complexity, and sought to identify patterns and fingerprints of artists and genres across 4266 paintings.…”

Section: Computation and Artmentioning

confidence: 99%

“…In this paper, we intend to bridge this gap by releasing a dataset of aggregate vectors and representations to perform such organisation, as well as aid in large-scale pattern recognition that may further aid art historians and cultural analysts with their research, and truly take advantage of the powers that modern computation provides. While notions of entropy and complexity have been used previously to study art history ([ 6 , 7 ]), they have been singular studies to showcase a specific method, as opposed to a set of tools presented to art historians and cultural theorists. Our dataset and aggregate vector representations both showcase the early steps and possibilities of our framework, while also allowing for powerful organisational capabilities to aid other scholars.…”

Section: Introductionmentioning

confidence: 99%

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WikiArtVectors: Style and Color Representations of Artworks for Cultural Analysis via Information Theoretic Measures

Desikan

Shimao

Miton

2022

Entropy

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With the increase in massive digitized datasets of cultural artefacts, social and cultural scientists have an unprecedented opportunity for the discovery and expansion of cultural theory. The WikiArt dataset is one such example, with over 250,000 high quality images of historically significant artworks by over 3000 artists, ranging from the 15th century to the present day; it is a rich source for the potential mining of patterns and differences among artists, genres, and styles. However, such datasets are often difficult to analyse and use for answering complex questions of cultural evolution and divergence because of their raw formats as image files, which are represented as multi-dimensional tensors/matrices. Recent developments in machine learning, multi-modal data analysis and image processing, however, open the door for us to create representations of images that extract important, domain-specific features from images. Art historians have long emphasised the importance of art style, and the colors used in art, as ways to characterise and retrieve art across genre, style, and artist. In this paper, we release a massive vector-based dataset of paintings (WikiArtVectors), with style representations and color distributions, which provides cultural and social scientists with a framework and database to explore relationships across these two vital dimensions. We use state-of-the-art deep learning and human perceptual color distributions to extract the representations for each painting, and aggregate them across artist, style, and genre. These vector representations and distributions can then be used in tandem with information-theoretic and distance metrics to identify large-scale patterns across art style, genre, and artist. We demonstrate the consistency of these vectors, and provide early explorations, while detailing future work and directions. All of our data and code is publicly available on GitHub.

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“…Don Christoforo de Castelli, Its remarkable, well-educated man, a missionary from the Holy Congregation of Propaganda Fides, has been selflessly helping the Georgian people for almost 26 years and returned home completely ill (as he notes) (Miliani et al, 1998;Garg et al, 1995;Silva et al, 2021). That he sincerely fell in love with Georgia and parted with it with heartache is clear from his words that «la Georgia fu venticinque anni sposa mia» (Georgia has been my beloved for twenty-five years).…”

Section: Literature Reviewmentioning

confidence: 99%

Georgian men’s dress of XVII century

Ugrekhelidze¹

2021

lingcure

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The article raises the issue of the importance of the work of Cristoforo de Castelli, an Italian missionary, Patrice of the Order of Theatine, in the study of Georgian historical costume. The sketches made by the author during his work in Georgia are analyzed, according to which it is possible to identify the types of clothes. According to the drawings, the clothes of different strata of the population are compared with the clothes of historical figures depicted in the monumental paintings of Georgian monuments of the same period and the clothes of the characters depicted in the illustrations of literary works. It emphasizes the identity of the costume depicted in Castelli's paintings and the miniatures of Georgian artist Mamuka Tavakarashvili and the similarity of some of the paintings. Finally, it is concluded that the visual material created over the years by Castelli as an eyewitness is still relevant today.

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Automatic analysis of artistic paintings using information-based measures

Cited by 15 publications

References 43 publications

A Mathematical Algorithm Approach for Estimating Water-Based Paint Requirements for a Given Wall

A Mathematical Algorithm Approach for Estimating Water-Based Paint Requirements for a Given Wall

WikiArtVectors: Style and Color Representations of Artworks for Cultural Analysis via Information Theoretic Measures

Georgian men’s dress of XVII century

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