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60,440 result(s) for "Handbag"
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Coach : a story of New York cool
Celebrating the seventy-fifth anniversary of this iconic luxury fashion brand, this book presents a vibrant visual survey of Coach's continual exploration and redefinition of American style, infused with its distinctively cool New York City spirit.At the heart of Coach is its effortless New York style, cutting-edge design, craftsmanship, and authenticity. This volume explores the evolution of this American company, from its beginnings in 1941 in a small loft as a manufacturer of leather goods to its transformation into a revered international fashion and lifestyle brand. Inspired by the pulsating energy of New York City in the 1960s, the company's owners Miles and Lillian Cahn cultivated an entirely new brand that offered not only men's leather goods, but also women's handbags, totes, small leather goods, and other accessories envisioned by Bonnie Cashin. This richly illustrated volume features both recent and archival photography, ranging from product design sketches to iconic advertising campaigns, and imagery of Coach's inspirational references.
Emir Koleksiyonunda Bulunan Zürih Menşeili Çantalar ile Bayburt Keselerinin Tasarımsal Özelliklerinin İncelenmesi
Kadın giyimi aksesuarlarından biri olan el çantaları ile türdeşi para keseleri, bulundukları dönemin ruhunu, yaşam stilini ve kültürel zenginliğini gösteren maddi kültür unsurları arasındadır. Çalışma, çanta ve keselerin tarihî gelişim sürecine ve tasarım özelliklerine odaklanırken aynı zamanda her iki aksesuarı birbiriyle kıyaslayarak incelemek9 tedir. Bu kıyaslamada çanta ve keseyi önemli kılan, Zürih kökenli çantalar ile Bayburt kökenli keselerin nesneleri taşımalarının ötesinde aynı koleksiyonda yer almaları ve yapıldıkları dönemin stil, tür, malzeme ve teknik özellikleri hakkında önemli ip ipuçları sunmalarıdır. Farklı iki kültürün sosyal yaşam gereklilikleri çerçevesinde gelişen çanta ve keselerin çeşitli özellikler bakımından ele alınmasının kadın aksesuarlarının tasarımsal özelliklerinin anlaşıla9 bilmesi açısından önemli olduğu düşünülmektedir. Çalışmada nitel araştırma yöntemlerinden etnografik araştırma deseni kullanılmıştır. Araştırma iki aşamada gerçek9 leştirilmiş, birinci aşamada konunun ana hatları ile ele alındığı tarihî veriler toplanmış, ardından veri toplama aracı olarak yarı yapılandırılmış görüşme formu ile koleksiyon bilgilerine ulaşılmıştır. İkinci aşamada çanta ve keselerin ölçü, form, dokuma, süsleme ve dikim teknikleri araştırmacı tarafından geliştirilen bilgi kartlarıyla detaylandırılmış, son olarak elde edilen bilgiler tarihî ve tasarımsal arka plan okumalarıyla tartışılmıştır. Böylece bu çalışma ile tarihî öneme sahip hem yurt içi hem de yurt dışı kökenli farklı kültürlere ait çanta ve türdeşi keseler aynı araştırmada çeşitli yönleri ile ele alınmış ve ileride yapılacak benzer çalışmalar için bir kaynak oluşturulmuştur.
Design Characteristics of the Zurich Handbags and Bayburt Purses in the Emir Collection
Handbags and purses, as female accessories, are key elements of material culture that reflect the spirit, lifestyle, and cultural richness of their time. This study examines the historical development and design features of handbags and purses and compares these two accessories. What makes bags and purses significant in this comparison is that handbags originating from Zurich and purses from Bayburt, in addition to holding objects, are part of the same collection and offer valuable insights into their period's style, type, material, and technical characteristics. Analyzing the handbags and purses that evolved due to the social requirements of two distinct cultures, based on various characteristics, is essential for understanding the design features of women's accessories. The study was conducted using an ethnographic approach and a qualitative research method. It was carried out in two stages: in the first stage, historical data were collected, and the topic was discussed in general terms; then, collection data were collected through semi9structured interviews. In the second stage, the size, shape, weaving, decoration, and sewing techniques of the handbags and purses were outlined in the information cards created by the author. Finally, the study data were discussed in relation to the historical and design contexts. Thus, the study examined historically significant handbags and purses from both domestic and foreign cultures to develop a resource for future studies.
Combining external attention GAN with deep convolutional neural networks for real–fake identification of luxury handbags
Identifying the fake luxury handbag from their images is crucial to prevent counterfeit. Current state-of-the-art methods focus on developing professional detection devices and some shallower convolution neural network (CNN) models. Such developments employ some professional appraisers with certain prior knowledge or simple CNN models trained by limited datasets to identify the fake luxury handbag, and little attention has been given to external attention optimization mechanism. In addition, existing methods ignore the class imbalance between real and fake handbag datasets, and their prediction capacity is limited. This paper proposes an innovative hybrid framework for fake luxury handbag identification. The proposed method combines external attention generative adversarial networks (EAGANs) with deep convolutional neural networks (DCNNs) with four improvements: (1) EAGAN employs transformer to encode and decode information in both generator and discriminator for more local feature representation; (2) a new attention module based on external attention mechanism is introduced into generator and discriminator of EAGAN for guiding the network to focus on global feature representation; (3) a simple CNN auxiliary classifier is appended to the EAGAN to automatically and efficiently learn the influence of different features, and then, it combines external attention mechanism module to jointly learn the representable features; (4) a three-stage weighted loss is proposed to train the EAGAN model, and then, EAGAN model is combined with DCNN for real–fake identification of luxury handbags. By integrating the above improvements in series, the models’ performances are gradually enhanced. Experimental results show that our framework yields superior results to existing state-of-the-art approaches.
A two-stage deep learning framework for counterfeit luxury handbag detection in logo images
Counterfeit luxury handbags are a worldwide problem that imposes a huge burden on society and the economy. The logo of a luxury handbag is a good identification point because its content is clear and often difficult to counterfeit. Generally, the authenticity of luxury handbags is identified by senior appraisers, but the number of professional appraisers is in short supply and the cost is high. Recently, convolutional neural networks (CNNs) have been widely used for counterfeit detection. However, directly applying CNNs to identify luxury handbags in logo images is still challenging due to the following two issues: (1) some identification points in logo images are very subtle and (2) both local and global information of logo images need to be considered. To address the above issues, this paper proposes a two-stage deep learning framework for counterfeit luxury handbag detection in logo images. In this framework, multiple object detection models are developed in the first stage, aiming at obtaining the location of each local identification point. In the second stage, an authenticity classification model combining local and global information is established to output the final authenticity prediction result. To verify the effectiveness of the proposed framework, we have constructed and annotated a luxury handbag dataset containing 639 logo images. The results on this dataset show that the proposed framework can accurately detect local recognition points and identify the authenticity of luxury handbags with high accuracy, outperforming the method that directly applies CNNs to classify the whole logo image (i.e., the one-stage model) and existing CNN-based counterfeit detection methods.
Virtual brand community engagement practices: a refined typology and model
Purpose Despite Schau et al.’s (2009) pioneering research addressing consumers’ community engagement practices, scholarly understanding of the nature and dynamics characterizing consumers’ engagement practices in virtual (online) brand communities, and their inter-relationships, is limited to date. Building on these authors’ study, this paper aims to develop a refined typology and process model of virtual brand community engagement practices (VBCEPs). Design/methodology/approach Using the netnographic methodology, the authors analyze 20 luxury handbag community members’ entries posted on the brand’s particular section of The Purse Forum. Findings The authors develop an eight-component VBCEP typology that refines Schau et al.’s (2009) four-component model of brand community engagement practices. The model comprises “greeting”, “regulating”, “assisting”, “celebrating”, “appreciating”, “empathizing”, “mingling” and “ranking”. These practices contribute to and maintain the community’s vision and identity, and strengthen shared community consciousness. Research limitations/implications A key limitation of this research lies in its findings being generated from a single, luxury virtual brand community. Future research may thus wish to validate the VBCEP typology and model across different contexts. Practical implications The authors provide strategic managerial recommendations designed to leverage virtual brand community performance, which center predominantly on the social (altruistic) and achievement-based VBCEP sub-processes. Originality/value The eight-component VBCEP typology refines Schau et al.’s four-component model of brand community engagement practices with particular applicability to virtual brand communities.