A Study on the Change of Artistic Creation Styles in the Internet Era in Higher Art Education Based on the Perspective of Network Analysis DOI Creative Commons
Congli Zhang

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract Artistic creation in the network era, examined terms of artistic style, can be roughly divided into several important stages time, such as 1985-1995, 1996-2005, 2006-2015, and 2016-present. This paper integrates pedagogical knowledge distillation an style feature extraction model to investigate change era. Using global features, color histogram art image region is extracted by calculating features on H, S, V from both texture features. The vectors are normalized, assuming that they conform a Gaussian distribution. Quantify using adaptive weighted Gram matrix improve accuracy classification. Joint for dissemination Plotting scatter chromaticity values L*-b* all painting samples reveals luminance L* paintings fluctuates between 21.38 79.94, red/greenness value a* -8.57 1.7, yellow/blueness b* 1.67 16.21. temporal development characteristics styles follows clear pattern. In comparison eigenvalues under variable parameters, moment inertia images period 1985-1995 raised 147.698 615.965 after noise addition, there different degrees growth other periods, but with magnitudes growth, obvious differences.

Язык: Английский

A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics DOI Creative Commons
Zoran Jakšić, Swagata Devi, Olga Jakšić

и другие.

Biomimetics, Год журнала: 2023, Номер 8(3), С. 278 - 278

Опубликована: Июнь 28, 2023

The application of artificial intelligence in everyday life is becoming all-pervasive and unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired algorithms for multiparameter optimization, which find their use large number areas. Novel methods advances are being published at an accelerated pace. Because that, spite the fact there lot surveys reviews they quickly become dated. Thus, it importance keep pace with current developments. In this review, we first consider possible classification bio-inspired optimization because papers dedicated area relatively scarce often contradictory. We proceed by describing some detail more prominent approaches, as well those most recently published. Finally, biomimetic two related wide fields, namely microelectronics (including circuit design optimization) nanophotonics inverse structures such photonic crystals, nanoplasmonic configurations metamaterials). attempted broad survey self-contained so can be not only scholars but also all interested latest developments attractive area.

Язык: Английский

Процитировано

35
Principle, Entry, and Reflow: Infinite Generation of Digital Intelligence Artistic Creation Dialogue DOI Creative Commons

Wenwen Yue

Advances in Social Development and Education Research, Год журнала: 2024, Номер 1(2), С. 124 - 124

Опубликована: Апрель 11, 2024

Dialogue on Infinite Generation of Art, Digital Intelligence Art Creation is empowered by modern digital intelligence technology, and based the “memory repository” all human art, its basic principle intelligent generation technology encoding program, as well in-depth learning artistic imitation full database inventory samples. art creation adheres to concepts specific cultural environments, combines rationality sensibility creation, opens up way through infinite algorithms, pointing aesthetic progress combining rationality. The reflow not only manifested in shift focus “focusing intention shape” level technical rationality, but it also begins dissolve creativity transcendence itself, weakening power creation’s “accidental” interpretation “extraterritorial” growth. It growth creation.

Язык: Английский

Процитировано

0
Optimization of Digital Media Art Creation Process Based on Dual Transformer Residual Network (DTRN) and Lotus Effect Optimization Algorithm (LEA) DOI Creative Commons
Zhifang He

Deleted Journal, Год журнала: 2024, Номер 20(3s), С. 2677 - 2689

Опубликована: Апрель 4, 2024

In response to the problems of lack intelligence, low recognition, loss brightness, and unclear design objects in comprehensive material painting installation art, when materials enter field artistic creation, they can assist but constantly updating is also a challenge for artists. This manuscript proposes an image processing technology digital media art creation based on dual transformer residual network (DTRN) lotus effect optimization algorithm (LEA) (DMAC-DTRN-LEA) proposed. Initially, extracted images from multimedia are collected MSCOCO2014 dataset. Collected preprocessed resize using federated neural collaborative filter (FedNCF). Later, resized given feature extraction; morphological features like shape, structure, colour, pattern, size synchro spline-kernelled chirplet extracting transform (SSCET). Finally, fed Dual Transformer Residual Network effectively classify images. In, general classifier does not express adapting strategies determine optimal parameters ensure accurate detection system. Hence, proposed method examined utilizing performance metrics accuracy, precision, fl-score, sensitivity, peak signal noise ratio (PSNR), error rate, Structural similarity index (SSIM). Proposed DMAC-DTRN-LEA attains 97% higher accuracy 0.7% rate analysed existing methods respectively.

Язык: Английский

Процитировано

0
The Embodiment of the Elements of Thinking and Politics in Digital Art Design in the Internet Era DOI Creative Commons

Xiaojing Song

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract Civic and political elements play an indispensable role in the process of national cultural development. In context era booming Internet technology, this paper proposes extraction technology Political digital art design explores effective way disseminating Internet. The mean drift clustering algorithm is introduced to image segment source into multiple independent disconnected sub-blocks achieve segmentation pre-processing image. Subsequently, density peak used main color algorithm, separate from background by Otsu threshold hole filling perform on feature elements. This algorithm’s time efficiency superior that Grabcut, LazySnapping, RepSnapping algorithms, correct rate over 85%. Taking artworks published as December 2023 research body, implication ideological analyzed. number occurrences extractions each element interval 400~900, concentration embodiment has been improved, but there still much room for improvement.

Язык: Английский

Процитировано

0
Art design integrating visual relation and affective semantics based on Convolutional Block Attention Mechanism-generative adversarial network model DOI Creative Commons
Jiadong Shen, Jian Wang

PeerJ Computer Science, Год журнала: 2024, Номер 10, С. e2274 - e2274

Опубликована: Авг. 30, 2024

Scene-based image semantic extraction and its precise sentiment expression significantly enhance artistic design. To address the incongruity between features caused by non-bilinear pooling, this study introduces a generative adversarial network (GAN) model that integrates visual relationships with semantics. The GAN-based regularizer is utilized during training to incorporate target information derived from contextual into process. This regularization mechanism imposes stronger penalties for inaccuracies in subject-object type predictions corpus generate more human-like descriptive statements. capsule employed reconstruct sentences predict probabilities discriminator. preserve crucial focal points feature extraction, Convolutional Block Attention Mechanism (CBAM) introduced. Furthermore, two bidirectional long short-term memory (LSTM) modules are used both relational contexts, thereby refining labels inter-target relationships. Experimental results highlight model's superiority over comparative models terms of accuracy, BiLingual Evaluation Understudy (BLEU) score, text preservation rate. proposed achieves an accuracy 95.40% highest BLEU score 16.79, effectively capturing label content emotional nuances within image.

Язык: Английский

Процитировано

0
Public Art Creation Assisted by AI: Transformation from Data to Form DOI

Yuran Sun

Опубликована: Июль 19, 2024

Язык: Английский

Процитировано

0
Innovative application of computer-aided design technology in digital media art creation DOI Open Access
Yiyuan Li, Peng Gao

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract The traditional design method in digital media art creation has the disadvantages of low image clarity and high cost creation, so this paper proposes a based on application computer-aided technology field media. Virtual reality is used to create two-dimensional scene, upon completion scene construction, three-dimensional virtual model for created. And then, SVM, computer will be constructed above into screen, with help some peripherals, achieve visualisation interaction display as complete innovation methods. It proved by experiments that art, running time switching are shorter than consumed method, correct rate target detection task 100 per cent. In addition this, obtained through algorithm low. shows innovative proposed paper, which combines support vector machines, good prospects design.

Язык: Английский

Процитировано

0
A Study on the Change of Artistic Creation Styles in the Internet Era in Higher Art Education Based on the Perspective of Network Analysis DOI Creative Commons
Congli Zhang

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract Artistic creation in the network era, examined terms of artistic style, can be roughly divided into several important stages time, such as 1985-1995, 1996-2005, 2006-2015, and 2016-present. This paper integrates pedagogical knowledge distillation an style feature extraction model to investigate change era. Using global features, color histogram art image region is extracted by calculating features on H, S, V from both texture features. The vectors are normalized, assuming that they conform a Gaussian distribution. Quantify using adaptive weighted Gram matrix improve accuracy classification. Joint for dissemination Plotting scatter chromaticity values L*-b* all painting samples reveals luminance L* paintings fluctuates between 21.38 79.94, red/greenness value a* -8.57 1.7, yellow/blueness b* 1.67 16.21. temporal development characteristics styles follows clear pattern. In comparison eigenvalues under variable parameters, moment inertia images period 1985-1995 raised 147.698 615.965 after noise addition, there different degrees growth other periods, but with magnitudes growth, obvious differences.

Язык: Английский

Процитировано

0