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Journal articles on the topic 'Fashion images'

Author: Grafiati

Published: 25 June 2021

Last updated: 15 February 2022

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1

Lee, Jeong Hwa, and Jisoo Ha. "Black Fashion-manias’ Images and Fashion Styles." Fashion & Textile Research Journal 22, no. 2 (April 30, 2020): 139–48. http://dx.doi.org/10.5805/sfti.2020.22.2.139.

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Silva, Ana Cláudia Suriani da, and Maria Claudia Bonadio. "Images of Brazilian fashion." Film, Fashion & Consumption 2, no. 3 (December 1, 2013): 213–16. http://dx.doi.org/10.1386/ffc.2.3.213_2.

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Kim, Hyang-Ja, and Young-Sam Kim. "Virtuality in Digital Fashion Images." Journal of the Korean society of clothing and textiles 39, no. 2 (April 30, 2015): 233. http://dx.doi.org/10.5850/jksct.2015.39.2.233.

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Davis, Angela Y. "Afro Images: Politics, Fashion, and Nostalgia." Critical Inquiry 21, no. 1 (October 1994): 37–45. http://dx.doi.org/10.1086/448739.

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Park, Yi Yeon, and Gi Young Kwon. "Fashion Types & Aesthetic Meanings of Modern Fashion adopting Supervillain Images." Journal of Basic Design & Art 22, no. 3 (June 2021): 183–98. http://dx.doi.org/10.47294/ksbda.22.3.15.

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Arjana, Sophia Rose. "Islamic Fashion and Anti-Fashion." American Journal of Islam and Society 32, no. 2 (April 1, 2015): 104–7. http://dx.doi.org/10.35632/ajis.v32i2.973.

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This volume of scholarship surrounding Islamic fashion presents a counternarrativeto a dominant story: that Muslim women in the West are subjugatedby the oppressive and patriarchal yoke of Islam. Islamic Fashion and Anti-Fashion: New Perspectives from Europe and North America offers a freshnew look at veiling, its intersection with religious piety, family, community,religious authority, fashion, and commoditization through sixteen distinct stud-104 The American Journal of Islamic Social Sciences 32:2ies ranging from clothing items like the burqini and the pardosu to larger issuessurrounding identity and politics, such as North American Islamophobia andits impact on Canadian Muslims. This book represents a large field of researchon Muslim women’s lived experiences, one that reveals the complexities inherentin these religious actors whose choices of dress reveal a large set ofcompeting values, desires, and commitments.The book is organized into five sections: location and encounter, historyand heritage, the marketplace, fashion and media, and fashion and anti-fashion.Two of its attractive features are the numerous black and white images runningthrough many of the chapters, as well as the two groups of stunning, provocativecolor photographs showing the richness of Islamic fashion, from “hijabistreet style” to London Muslim hipster style ...

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Kim, Namhoon, Eunha Chun, and Eunju Ko. "Country of origin effects on brand image, brand evaluation, and purchase intention." International Marketing Review 34, no. 2 (April 10, 2017): 254–71. http://dx.doi.org/10.1108/imr-03-2015-0071.

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Purpose The purpose of this paper is to analyze how national stereotype, country of origin (COO), and fashion brand’s images influence consumers’ brand evaluations and purchase intentions regarding fashion collections. Korea (Seoul) and overseas (New York and Paris) collections are compared and analyzed. Design/methodology/approach The authors conduct a structural equation modeling and multi-group analysis using data collected from Seoul, New York, and Paris. Findings Consumers make higher brand evaluations and ultimately have stronger purchase intentions toward fashion collections from countries that have stronger COO and fashion brand images. In the context of fashion collections, COO image is greatly influenced by a nation’s political economic and cultural artistic images. In addition, comparing the domestic Seoul fashion collection with New York and Paris collections reveals that a national stereotype images, COO images of fashion collection, and fashion brand’s images cause different brand evaluation and purchase intention. Originality/value The overarching value of the study is that it expands COO research, which has been limited to actual products. Also, the results provide a basic foundation for establishing marketing strategy based on COO image as a way to enhance the development and image of fashion collection.

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Lee, Selee. "Fashion Discourses on Images of Calvin Klein." Archives of Design Research 31, no. 4 (November 30, 2018): 155–68. http://dx.doi.org/10.15187/adr.2018.11.31.4.155.

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Obaid, Mustafa Amer, and Wesam M. Jasim. "Pre-convoluted neural networks for fashion classification." Bulletin of Electrical Engineering and Informatics 10, no. 2 (April 1, 2021): 750–58. http://dx.doi.org/10.11591/eei.v10i2.2750.

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In this work, concept of the fashion-MNIST images classification constructed on convolutional neural networks is discussed. Whereas, 28×28 grayscale images of 70,000 fashion products from 10 classes, with 7,000 images per category, are in the fashion-MNIST dataset. There are 60,000 images in the training set and 10,000 images in the evaluation set. The data has been initially pre-processed for resizing and reducing the noise. Then, this data is normalized for ensuring that all the data are on the same scale and this usually improves the performance. After normalizing the data, it is augmented where one image will be in three forms of output. The first output image is obtained by rotating the actual one; the second output image is obtained as acute angle image; and the third is obtained as tilt image. The new data set is of 180,000 images for training phase and 30,000 images for the testing phase. Finally, data is sent to training process as input for training model of the pre-convolution network. The pre-convolution neural network with the five layered convoluted deep neural network and do the training with the augmented data, The performance of the proposed system shows 94% accuracy where it was 93% in VGG16 and 92% in AlexNetnetworks.

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Häsler, Leonie. "Stereo Imaging In Fashion Photography." Networking Knowledge: Journal of the MeCCSA Postgraduate Network 11, no. 1 (April 30, 2018): 38–55. http://dx.doi.org/10.31165/nk.2018.111.528.

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Fashion photographs are generally two-dimensional images showing one side of a three-dimensional model. This paper, however, deals with far less well-known stereoscopic fashion photographs. Stereoscopy is a technique that creates the illusion of a 3-D image. Based on the image collection of Swiss textile and clothes company HANRO, the article analyzes the composition of 3-D pictures by putting them in a broader media-historical context. The archived stereoscopic photographs date back to the 1950s and show a series of women’s fashion. In the same period, Hollywood experienced a 3-D-boom that may have had a technical and aesthetical impact on these photographs. Although fashion is not mediated in moving images in this case study, codes or formal languages of a film are inscribed in the images, as will be shown in the following text. Building on these findings, this paper further discusses the influence of cinematography and other media practices on the fashion industry’s attempt to free its fashion imagery from the confines of a two-dimensional page.

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Ge, Qiu Ju, Yun Tao Sun, and Yan Liu. "Application of Fractal Graphics in Fashion Design." Advanced Materials Research 605-607 (December 2012): 53–56. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.53.

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This paper mainly discusses the characteristics of fractal graphics as well as theoretical basis, and the use of Maple and other mathematical software raw ingredients -shaped graphics, and thus will be fractal images to use to the fabric recycling, restructuring of fractal images, in order to create realistic visual effects, so that garment shape and fabric images pattern combination of organic, the final completion of the clothing creation. Fractal graphics of this new fashion element in fashion design is of great significance to design new and unique clothing, so that more practical significance to the study of fractal graphics.

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Greene, Justin Russell. "Dressing up the author: Jonathan Franzen and David Foster Wallace branding their masculine authorial identities through fashion." Fashion, Style & Popular Culture 7, no. 4 (October 1, 2020): 421–41. http://dx.doi.org/10.1386/fspc_00037_1.

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This article explores the use of clothes and other accessories as markers of masculine authorial identity. Fashion and literature are contentious partners, with literature attempting to keep a firm distance from the popular trappings of the fashion world. However, writers have historically used fashion to create their identities beyond the printed word. This can be seen in examples such as Oscar Wilde and Mark Twain and the ways clothing items have become associated with their personae as men of letters. Contemporary writers are no different, yet many continue to exude ambivalence towards clothing having any effect on their images in the literary sphere. Jonathan Franzen and David Foster Wallace are two examples of writers who downplay fashion’s role in their public images. Franzen and Wallace establish their positions at the forefront of American literature not only with their fiction and non-fiction works but also in the ways they adorn their bodies and present them within visual media. Nevertheless, both Franzen and Wallace perform as specific types of masculine authors through their fashion choices. Ultimately, they use fashion to brand their authorial identities in accordance with their literary output. Franzen’s and Wallace’s willing participation in the stylization of their images to meet the masculine standards of authorial identity reveals the prevalence of gendered stereotypes regarding how authors should be represented within popular culture.

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Hong, Hye Rim, and Young In Kim. "Communication Characteristics of Fashion Shows Using Digital Images." Journal of the Korean Society of Costume 64, no. 6 (September 30, 2014): 1–15. http://dx.doi.org/10.7233/jksc.2014.64.6.001.

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Stines, Steven. "Cloning fashion: Uniform gay images in male apparel." Critical Studies in Men???s Fashion 4, no. 2 (September 1, 2017): 129–51. http://dx.doi.org/10.1386/csmf.4.2.129_1.

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Jeong, Yoojin, and Chae-Bong Sohn. "Readily Design and Try-On Garments by Manipulating Segmentation Images." Electronics 9, no. 9 (September 22, 2020): 1553. http://dx.doi.org/10.3390/electronics9091553.

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Recently, fashion industries have introduced artificial intelligence to provide new services, and research to combine fashion design and artificial intelligence has been continuously conducted. Among them, generative adversarial networks that synthesize realistic-looking images have been widely applied in the fashion industry. In this paper, a new apparel image is created using a generative model that can apply a new style to a desired area in a segmented image. It also creates a new fashion image by manipulating the segmentation image. Thus, interactive fashion image manipulation, which enables users to edit images by controlling segmentation images, is possible. This allows people to try new styles without the pain of inconvenient travel or changing clothes. Furthermore, they can easily determine which color and pattern suits the clothes they wear more, or whether the clothes other people wear match their clothes. Therefore, user-centered fashion design is possible. It is useful for virtually trying on or recommending clothes.

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Шаркіна, А. "ПРАКТИКИ ГРИМУ В FASHION-ІННОВАЦІЯХ: СПЕЦИФІКА, ФУНКЦІЇ." Art and Design, no. 3 (November 13, 2020): 132–44. http://dx.doi.org/10.30857/2617-0272.2020.3.11.

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The aim of the article is to identify the specifics and functional features of the artistic make-up in the design expressive means system at the level of joint techniques with make-up in theater and cinema. Methodology. The historical, analytical and comparative methods have been used in the study. The image-associative and stylistic analysis methods have been applied to the selected historical and modern examples of make-up practices. Summary. The specifics of theatrical make-up, make-up for cinema and fashion images have been examined on the examples of female images, common and distinctive features have been defined. The main functions of make-up have been exuded and realized by the author of the research in modern fashion images; the peculiarties of ratio of make-up with other components of the artistic image have been determined. The scientific novelty is in the actualization of the make-up problem in fashion-innovations within the scientific development, in determination of its specifics, which consists in the theater and cinema make-up artists’ basic techniques application and at the same time modern make-up, decorative, posthumous means usage. Practical significance. The relationship between traditional and innovative makeup practices in the fashion industry at the level f theoretical and methodological research and practical implementation of the makeup basic functions in the modern feale images creation have been revealed in the study. The results of the study focus on further research of the makeup types; the research results can be used in the practical activities of a make-up artist and in the teaching practice.

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Arnold, Rebecca. "Behind the Scenes with Louise Dahl-Wolfe and Toni Frissell: Alternative Views of Fashion Photography in Mid-Century America." Fashion Studies 1, no. 1 (2018): 1–35. http://dx.doi.org/10.38055/fs010110.

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This essay explores the process and labour involved in creating fashion editorials. It is focused on the work of Louise Dahl-Wolfe and Toni Frissell, as case studies of photographers who worked at America’s two leading fashion magazines: Harper’s Bazaar and Vogue. Images that show these women “backstage” form the basis of this analysis, to expose the images’ compositions and the teams of people involved in their creation. Both photographers worked at a key moment in American fashion, as designers such as Claire McCardell created a simple, interchangeable wardrobe of readymade clothes that catered to the increasingly active lives of middle-class women. They were significant to the “Modern Sportswear Aesthetic” that emerged during this period and which exploited Kodachrome’s rich tones to compose alluring images that showed sportswear as adaptable and fashionable. Frequently shot outside, or using carefully contrived sets, their imagery provides a case study for the ways fashion’s creative workers collaborated to construct convincing visions of sportswear’s emergent style. Drawing upon Bruno Latour’s theories of organization, this article examines these networks of people, working to varied briefs and deadlines to create each magazine issue. From contact sheets and shots of fashion editors and models, to glimpses of the photographers’ efforts to find the right angle, this essay uses Dahl-Wolfe and Frissell’s photobooks and archival materials, including memos between Bazaar Editor-in-Chief Carmel Snow and Frissell, to challenge the idea of the seamless fashion page and look at the professional work and negotiations necessary to create a successful image.

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Park, Young-Jin, and Eun-Hyuk Yim. "Semiotic Analysis and Myth Studies of Madonna Fashion Images -A View Fashion Image from the Year of 2005 to 2011-." Journal of the Korean Society of Clothing and Textiles 35, no. 10 (October 31, 2011): 1161–74. http://dx.doi.org/10.5850/jksct.2011.35.10.1161.

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Yang, Qingyu, Gautam Golwala, Sathya Sundaram, Perry Lee, and Jan Allebach. "Barcode Detection and Decoding in On-line Fashion Images." Electronic Imaging 2019, no. 8 (January 13, 2019): 413–1. http://dx.doi.org/10.2352/issn.2470-1173.2019.8.imawm-413.

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SHINOMORI, Keizo, and Mizuki NISHIMURA. "Impression of Fashion Images in Optical Simulation of Dichromatism." Transactions of Japan Society of Kansei Engineering 17, no. 1 (2017): 79–88. http://dx.doi.org/10.5057/jjske.tjske-d-17-00047.

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Yeo, Mi, and Sun Ae Oh. "Analysis of the Fashion Shops' Images Applying Gaze Frequency." Korean Institute of Interior Design Journal 22, no. 6 (December 31, 2013): 212–19. http://dx.doi.org/10.14774/jkiid.2013.22.6.212.

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Herstein, Ram, Shaked Gilboa, and Eyal Gamliel. "Private and national brand consumers' images of fashion stores." Journal of Product & Brand Management 22, no. 5/6 (August 19, 2013): 331–41. http://dx.doi.org/10.1108/jpbm-03-2012-0110.

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23

An, Hyosun, Sunghoon Kim, and Yerim Choi. "Sportive Fashion Trend Reports: A Hybrid Style Analysis Based on Deep Learning Techniques." Sustainability 13, no. 17 (August 24, 2021): 9530. http://dx.doi.org/10.3390/su13179530.

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This study aimed to use quantitative methods and deep learning techniques to report sportive fashion trends. We collected sportive fashion images from fashion collections of the past decades and utilized the multi-label graph convolutional network (ML-GCN) model to detect and explore hybrid styles. Based on the literature review, we proposed a theoretical framework to investigate sportive fashion trends. The ML-GCN was designed to classify five style categories, “street,” “retro,” “sexy,” “modern,” and “sporty,” and the predictive probabilities of the five styles of fashion images were extracted. We statistically validated the hybrid style results derived from the ML-GCN model and suggested an application method of deep learning-based trend reports in the fashion industry. This study reported sportive fashion by hybrid style dependency, forecasting, and brand clustering. We visualized the predicted probability for a hybrid style to a three-dimensional scale expected to help designers and researchers in the field of fashion to achieve digital design innovation cooperating with deep learning techniques.

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Amundsen, Heidi Bale. "Anna Dahlgren (red.): Fashioned in the North: Nordic histories, Agents, and Images of Fashion Photography." Kunst og Kultur 104, no. 01 (March 24, 2021): 57–59. http://dx.doi.org/10.18261/issn.1504-3029-2021-01-06.

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Lei, Haopeng, Simin Chen, Mingwen Wang, Xiangjian He, Wenjing Jia, and Sibo Li. "A New Algorithm for Sketch-Based Fashion Image Retrieval Based on Cross-Domain Transformation." Wireless Communications and Mobile Computing 2021 (May 25, 2021): 1–14. http://dx.doi.org/10.1155/2021/5577735.

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Due to the rise of e-commerce platforms, online shopping has become a trend. However, the current mainstream retrieval methods are still limited to using text or exemplar images as input. For huge commodity databases, it remains a long-standing unsolved problem for users to find the interested products quickly. Different from the traditional text-based and exemplar-based image retrieval techniques, sketch-based image retrieval (SBIR) provides a more intuitive and natural way for users to specify their search need. Due to the large cross-domain discrepancy between the free-hand sketch and fashion images, retrieving fashion images by sketches is a significantly challenging task. In this work, we propose a new algorithm for sketch-based fashion image retrieval based on cross-domain transformation. In our approach, the sketch and photo are first transformed into the same domain. Then, the sketch domain similarity and the photo domain similarity are calculated, respectively, and fused to improve the retrieval accuracy of fashion images. Moreover, the existing fashion image datasets mostly contain photos only and rarely contain the sketch-photo pairs. Thus, we contribute a fine-grained sketch-based fashion image retrieval dataset, which includes 36,074 sketch-photo pairs. Specifically, when retrieving on our Fashion Image dataset, the accuracy of our model ranks the correct match at the top-1 which is 96.6%, 92.1%, 91.0%, and 90.5% for clothes, pants, skirts, and shoes, respectively. Extensive experiments conducted on our dataset and two fine-grained instance-level datasets, i.e., QMUL-shoes and QMUL-chairs, show that our model has achieved a better performance than other existing methods.

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Earle, Kathryn. "From runway to platform: The creation of a digital fashion photography archive." Art Libraries Journal 42, no. 1 (December 15, 2016): 47–54. http://dx.doi.org/10.1017/alj.2016.46.

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In 2011, Bloomsbury Publishing Plc purchased a fashion photography archive with over 750,000 images from runway photographer Niall McInerney, with the aim of digitizing it for the educational market. The archive spans the period from the late 1970s through to 2000, before the rise of digital photography. It includes many rare images – backstage and street style as well as runway. Bloomsbury recently completed the three-and-a-half-year digitization project, and is in the process of indexing the images for digital deployment as part of Bloomsbury Fashion Central, which will also include the Berg Fashion Library and Fairchild Books content. This article looks at the drivers behind the purchase of the archive, the challenges it presented and the logic of partnerships with other possible content providers.

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Rohrmanstorfer, Stefan, Mikhail Komarov, and Felix Mödritscher. "Image Classification for the Automatic Feature Extraction in Human Worn Fashion Data." Mathematics 9, no. 6 (March 16, 2021): 624. http://dx.doi.org/10.3390/math9060624.

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With the always increasing amount of image data, it has become a necessity to automatically look for and process information in these images. As fashion is captured in images, the fashion sector provides the perfect foundation to be supported by the integration of a service or application that is built on an image classification model. In this article, the state of the art for image classification is analyzed and discussed. Based on the elaborated knowledge, four different approaches will be implemented to successfully extract features out of fashion data. For this purpose, a human-worn fashion dataset with 2567 images was created, but it was significantly enlarged by the performed image operations. The results show that convolutional neural networks are the undisputed standard for classifying images, and that TensorFlow is the best library to build them. Moreover, through the introduction of dropout layers, data augmentation and transfer learning, model overfitting was successfully prevented, and it was possible to incrementally improve the validation accuracy of the created dataset from an initial 69% to a final validation accuracy of 84%. More distinct apparel like trousers, shoes and hats were better classified than other upper body clothes.

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Kyselova, Kateryna, Olha Shandrenko, and Alina Shcherbak. "STAGE IMAGES OF ROCK MUSICIANS AND THEIR INFLUENCE ON THE FORMATION OF MODERN TRENDS IN CLOTHING DESIGN." CULTURE AND ARTS IN THE MODERN WORLD, no. 22 (June 30, 2021): 199–211. http://dx.doi.org/10.31866/2410-1915.22.2021.235914.

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The purpose of the article is to reveal the influence of stage images of rock musicians on fashion design trends formation. Research methodology: the authors of the article use methods of source study analysis to determine the level of scientific development of the issue, comparative historical analysis to identify the characteristic features of images of musicians and catwalk models of clothing collections of famous designers, and theoretical generalization to draw conclusions. The scientific novelty of the work is to highlight the influence of stage images of musicians on the formation of modern trends in fashion design. The analysis of genre affiliation reveals stylistic differences of the stage costume of popular musicians of the USA and Europe. Some stylistic characteristics of the artists’ stage clothing could be traced in the collections of famous fashion brands of the 21st century, such as Balenciaga, Philipp Plein, Vetements, Alexander Wang, Alexander McQueen, and others. Conclusions. The research reveals the main stylistic features of the stage costume of hard rock and heavy metal musicians. Stage images of artists were innovative and widely used in fashion design of the 20th and early 21st century. The active influence of musicians on fashion trends began in the 60s and 70s of the twentieth century, which coincided with the development of stage costume design and the significant spread of media technology. Hard rock and heavy metal performers created and popularized such a style direction as “grunge”, which is one of the leading musical trends in 2020–2021. Designers of the 21st century borrowed many details, visual and stylistic features, and even concepts for brands from popular hard and heavy artists of the 1970s–1990s. Stage images of rock musicians have a significant impact on the development of fashion and design.

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Hong, Yun Jung, Ri Ra Kim, Si Eun Lim, and Young In Kim. "The Type and Characteristics of the Modern Men's Fashion Images." Journal of the Korean Society of Costume 64, no. 5 (August 31, 2014): 18–29. http://dx.doi.org/10.7233/jksc.2014.64.5.018.

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Kim, Min Ji, and Ho Sup Kan. "Study on the Surrealistic Distortion of Body Images in Fashion." International Journal of Costume and Fashion 11, no. 2 (December 31, 2011): 37–52. http://dx.doi.org/10.7233/ijcf.2011.11.2.037.

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Hu, Litao, Karthick Shankar, Zhi Li, Zhenxun Yuan, Jan Allebach, Gautam Glowala, Sathya Sundaram, and Perry Lee. "Non-native Contents Detection and Localization for Online Fashion Images." Electronic Imaging 2019, no. 8 (January 13, 2019): 415–1. http://dx.doi.org/10.2352/issn.2470-1173.2019.8.imawm-415.

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윤지일 and Lee Youn Hee. "Rusty Images Applied Fashion Design - For Digital Textile Printing Method -." Research Journal of the Costume Culture 18, no. 5 (October 2010): 1003–16. http://dx.doi.org/10.29049/rjcc.2010.18.5.1003.

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Uh, Kyung Jin. "Digital persona in E-girl and E-boy fashion images." Research Journal of the Costume Culture 28, no. 5 (October 30, 2020): 692–704. http://dx.doi.org/10.29049/rjcc.2020.28.5.692.

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Lai, Peihua, and Stephen Westland. "Machine learning for colour Palette extraction from fashion runway images." International Journal of Fashion Design, Technology and Education 13, no. 3 (July 27, 2020): 334–40. http://dx.doi.org/10.1080/17543266.2020.1799080.

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Winter, Caroline, and Ward Young. "Fashion, fantasy and fallen horses: alternate images of thoroughbred racing." Annals of Leisure Research 17, no. 4 (August 30, 2014): 359–76. http://dx.doi.org/10.1080/11745398.2014.950676.

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Yang, Youngae, Yue Wu, and Eunjou Yi. "Effects of Natural Aroma Fragrance on Fashion Images of Galchon." Journal of the Korean Society of Clothing and Textiles 45, no. 1 (February 28, 2021): 180–99. http://dx.doi.org/10.5850/jksct.2021.45.1.180.

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Jung Jung, Hye, Yuri Lee, HaeJung Kim, and Heesoon Yang. "Impacts of country images on luxury fashion brand: facilitating with the brand resonance model." Journal of Fashion Marketing and Management 18, no. 2 (May 6, 2014): 187–205. http://dx.doi.org/10.1108/jfmm-10-2013-0113.

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Purpose – This paper aims to identify the dimensionality of country image (CI) for luxury fashion brand and examine the multi-faceted impacts of CI on brand awareness, perceived quality, and brand loyalty in accordance with the brand resonance model. By identifying the constructs and conceptualizing and comparing the luxury fashion-brand resonance model between countries, this study demonstrates the pertinent CI impacts on luxury fashion-brand resonance in addition to exposing the cultural discrepancies between the Korean and the US samples. Design/methodology/approach – Based on three studies conducted in South Korea and the USA, the Luxury Fashion Brand Resonance scale was validated. Confirmatory factor analysis and structural equation modeling revealed the 18 scales consisting of CI, brand awareness, perceived quality, and brand loyalty dimensions. Additionally, the country effect was controlled by comparing the composition of structural models between the Korean and US samples. Findings – Analysis of online data (n=466) collected from the USA and Korea identifies the underlying dimensions of the CIs including cultural assets, fashion equity, and technology advancement. Findings also support all hypothesized relationships among CI, brand awareness, perceived quality, and brand loyalty. Upon a comparison of the country disparities, it is evident that technology advancement is the determinant of the increase in luxury fashion brand awareness for the Korean group, while cultural asset and fashion equity are pertinent to the enhancement of luxury fashion brand awareness for the US group. Research limitations/implications – The structural relationships among the six dimensions of brand resonance may vary when different countries and brands are compared. To improve the generalizability of empirical findings, varied consumer samples should be employed, and other control effects, such as price and product categories, should be considered. Originality/value – To provide insight into the transition toward a global consumer market, this study provides a theoretical orientation to account for multi-dimensional CI effects on the luxury fashion-brand resonance model and an empirical validation of the theoretical orientation which is useful for developing competitive global luxury branding strategies.

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Arslan, Hasan Sait, Kairit Sirts, Mark Fishel, and Gholamreza Anbarjafari. "Multimodal Sequential Fashion Attribute Prediction." Information 10, no. 10 (October 3, 2019): 308. http://dx.doi.org/10.3390/info10100308.

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We address multimodal product attribute prediction of fashion items based on product images and titles. The product attributes, such as type, sub-type, cut or fit, are in a chain format, with previous attribute values constraining the values of the next attributes. We propose to address this task with a sequential prediction model that can learn to capture the dependencies between the different attribute values in the chain. Our experiments on three product datasets show that the sequential model outperforms two non-sequential baselines on all experimental datasets. Compared to other models, the sequential model is also better able to generate sequences of attribute chains not seen during training. We also measure the contributions of both image and textual input and show that while text-only models always outperform image-only models, only the multimodal sequential model combining both image and text improves over the text-only model on all experimental datasets.

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Yoon, DoohAh, and Seunghee Lee. "Effect of Self-image Pursuit by Female Consumers on Clothing Purchase Value and Fashion Images." Journal of the Korean society of clothing and textiles 39, no. 4 (August 31, 2015): 492. http://dx.doi.org/10.5850/jksct.2015.39.4.492.

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Kuo, Wen Guey, Yuh Chang Wei, Shang Ming Lin, and Chung Kan Lee. "Performance of Color-Harmony Models in Predicting Visual Color Harmony for Color-Apparel Images." Advanced Materials Research 627 (December 2012): 524–27. http://dx.doi.org/10.4028/www.scientific.net/amr.627.524.

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Abstract. Color harmony has been systematically investigated since 1956 at Budapest using specific pattern samples with the exception of textile specimens. And, so far, there are two known color harmony models proposed by Ou et al. (abbreviated as the Ou) and Szabó et al. (as the Szabó) separately. According to the experimental results proposed by Kuo, the color harmony would be influenced by the types of sample pattern. Therefore, the performance of those two models in predicting visual color harmony for samples of fashion apparel is discussed in this study using 162 color images of fashion apparel containing 141 and 21 ones in which the fashion apparels are with two-color and three-color combinations respectively. The results indicates that the model Ou has better performance in predicting visual color harmony by the correlation coefficients 0.50 and 0.65 for the fashion apparel images with two-color and three-color combinations respectively than the Szabó 0.48 and 0.50. Meanwhile, this finding may imply that a more accurate color-harmony estimating model still needs to be developed for the fashion apparels with multiple-color combinations and it is one of the most important works of the authors in the near future.

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Haghofer, Andreas, Sebastian Dorl, Andre Oszwald, Johannes Breuss, Jaroslaw Jacak, and Stephan M. Winkler. "Evolutionary optimization of image processing for cell detection in microscopy images." Soft Computing 24, no. 23 (June 11, 2020): 17847–62. http://dx.doi.org/10.1007/s00500-020-05033-0.

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AbstractIn this paper, we present a new evolution-based algorithm that optimizes cell detection image processing workflows in a self-adaptive fashion. We use evolution strategies to optimize the parameters for all steps of the image processing pipeline and improve cell detection results. The algorithm reliably produces good cell detection results without the need for extensive domain knowledge. Our algorithm also needs no labeled data to produce good cell detection results compared to the state-of-the-art neural network approaches. Furthermore, the algorithm can easily be adapted to different applications by modifying the processing steps in the pipeline and has high scalability since it supports multithreading and computation on graphical processing units (GPUs).

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Sherman, Debby. "Making Anaglyph Images From SEM Images Using Adobe PhotoShop." Microscopy Today 7, no. 1 (January 1999): 8–9. http://dx.doi.org/10.1017/s1551929500063707.

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Three-dimensional images, or anaglyphs, can provide useful information as to height relationships between components of an image. They can also enliven presentations before diverse groups. Imagine a boardroom full of executives having their 5th straight meeting of the day. You are there to present preliminary research information that could lead to a major contract. After requesting that everyone to put on red/blue glasses (not exactly the height of fashion), you proceed to show stereo images of hair samples with obviously different degrees of roughness. Correlation is drawn between the different samples and the nutritional components of the dietary supplement being tested. A picture not only saves a lot of words. It also leaves a lasting image in the minds of the observers that could easily translate into $$$. Besides, it's fun to look at neat 3-D images!

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Ro, Juhyun. "Fashion Attitudes towards and Images of Old Age Represented in Films." International Journal of Costume and Fashion 19, no. 1 (June 30, 2019): 87–104. http://dx.doi.org/10.7233/ijcf.2019.19.1.087.

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함연자. "Fashion Images of Cholo Style Appeared on United States of America." Journal of Korea Design Forum ll, no. 38 (February 2013): 275–86. http://dx.doi.org/10.21326/ksdt.2013..38.025.

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최유진 and 최정화. "Fashion Images of the France Posters of the Late 19th Century." Research Journal of the Costume Culture 16, no. 5 (October 2008): 812–25. http://dx.doi.org/10.29049/rjcc.2008.16.5.812.

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Yun, Hee Jin, and Mi Ji Kwak. "A Study on Fashion Design Using Joan Miro’s Late Painting Images." Korean Society of Fashion Design 21, no. 2 (June 30, 2021): 141–56. http://dx.doi.org/10.18652/2021.21.2.9.

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Wazarkar, Seema, Bettahally N. Keshavamurthy, and Ahsan Hussain. "Probabilistic Classifier for Fashion Image Grouping Using Multi-Layer Feature Extraction Model." International Journal of Web Services Research 15, no. 2 (April 2018): 89–104. http://dx.doi.org/10.4018/ijwsr.2018040105.

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In this article, probabilistic classification model is designed for the fashion-related images collected from social networks. The proposed model is divided into two parts. The first is feature extraction where six important features are taken into consideration to deal with heterogeneous nature of the given images. The second classification is done with the help of probability computations to get collection of homogeneous images. Here, class-conditional probability of extracted features are calculated, then joint probability is used for the classification. Class label with maximum joint probability is assigned to the given image. A comparative study of proposed classification model with existing popular supervised as well as unsupervised classification approaches is done on the basis of obtained accuracy of the results. The effect of convolutional neural network inclusion in the proposed feature extraction model is also shown where it improves the accuracy of final results. The output of this system is useful further for fashion trend analysis.

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Oesanty Oetojo, Julita. "Analysis of Brand Image on Consumer Purchase Decisions in ‘Mint,’ A Ladies Fashion Brand in Jakarta." Advanced Science Letters 21, no. 4 (April 1, 2015): 583–88. http://dx.doi.org/10.1166/asl.2015.5941.

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The retail fashion industry is growing rapidly in Indonesia, currently dominated by international fashion brands, followed by local designers and local fashion brands. There is very tight competition in the industry. Indonesian’s local brands have to create collections with good brand images to be able to compete and attract Indonesian consumers. The consumers appreciate local products, which have good quality design, styles, fabrics and competitive prices with positive brand images that make them feel confident wearing them. To be able to compete with the international fashion brands, it is very important for a local fashion brand to fulfill those expectations. This paper was conducted by choosing one of the middle class local fashion brands in Jakarta, called Mint. Mint products have been sold in Indonesia since 2002, from 15 boutiques and more than 200 locations such as department stores. In 2007, Mint got a recognition certificate from Business Indonesia magazine as an ‘Indonesian Original Product’ (Product Asli Indonesia 2007). Mint targets professional, urbane women between 20 and 35 years old. This paper is to determine factors of the decision of Mint’s customers in choosing the fashion brand, and if brand image as a local brand will influence the buying decision. This paper uses questionnaires, interviews, and observations as its research methodology. The results show that the factors influencing buying decisions for Mint are: good quality of products in many varieties; affordable price; and attractive designs. Brand image as a local brand is accepted in the consumer’s mind as long as the product fulfills their needs in quality. It is recommended for Mint to do regular research into buying factors since fashion keeps changing, and to maintain a good brand image as a local brand. Findings are also applicable for new fashion brands, created by entrepreneurs before they start their businesses in fashion retail in Indonesia.

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Mensa, Marta, and Tao (Tony) Deng. "Luxury Fashion Brands and Consumers: Women are more sexualized by consumers than brands on Instagram." Tripodos, no. 50 (July 1, 2021): 17–35. http://dx.doi.org/10.51698/tripodos.2021.50p17-35.

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This study examines how luxury fashion brands and luxury fashion brand hashtags that consumers use in their posts portray women on Instagram. The study was framed by sexual objectification theory (physical presentation, body display, sexually suggestive poses, and feminine touch) and sexism stereotypes (women in traditional roles such as dependent, caretaker, decorative and sexual object). This study examines 700 Instagram posts, 350 from top luxury fashion brands, and 350 from consumers. Young and skinny women’s images dominate Instagram posts created by luxury fashion brands, while consumers are older and fit. Unexpected results show that luxury fashion brands feature women less sexually desirable, with less sexually suggestive poses and fewer sexist stereotypes than consumers.

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Lai, Yiwei, and Milda Perminiene. "Embracing imperfection: contemporary fashion communication and consumer well-being." Journal of Fashion Marketing and Management: An International Journal 24, no. 4 (April 24, 2020): 685–703. http://dx.doi.org/10.1108/jfmm-03-2019-0040.

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PurposeFashion advertising as a contemporary ideological form has the power to deliver semiotic messages, which frames individuals' perception. Promoting perfection in consumer culture has resulted in the creation of unrealistic self-image and negative effects that led to psychological illnesses and pathological behaviours. The purpose of this paper is to investigate the ideology behind the contemporary fashion advertising that embraces imperfection and is linked to consumer subjective well-being.Design/methodology/approachNine fashion ads were selected based on the WGSN consumer report Embracing Imperfection. A sample of images was analysed applying semiotic analysis combined with the criteria of content analysis.FindingsThe results supported the notion that some contemporary fashion communication brands are challenging the conventional idea of perfection. Five themes were identified as the characteristics that bridged the visual surface of advertising with its hidden ideologies of imperfection. By supporting “anonymity”, fashion brand communication is against excessive self-focus and helps reducing anxiety due to being imperfect. By promoting “rawness”, it encourages authenticity and uniqueness. “Banality” rejects materialism and promotes the beauty of the boring day. “Ugliness” advocates for removal of the single standards and celebrate individual differences, and “spontaneity” is interchangeable for humanity, freedom, openness and acceptance of self.Originality/valueThis study is among the few attempts to conduct semiotic analysis of fashion advertising images aiming to identify the visual components and ideologies that could potentially be linked to subjective well-being in fashion communication.

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