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3,357 result(s) for "Logos (Graphic design)"
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Re-covered rose : a case study in book cover design as intersemiotic translation
When a reader picks up a book, the essence of the text has been translated into the visual space of the cover. Using Umberto Eco's bestseller The Name of the Rose as a case study, this is the first study of book cover design as a form of intersemiotic translation based on the purposeful selection of visual signs to represent verbal signs. As an act of translation, the cover of a book ought to be an 'equivalent representation' of the text. But in the absence of any established interpretive criteria, how can equivalence between the visual and the verbal be determined and interpreted? Re-Covered Rose tackles this question in an original and creative way, laying the foundation for a new research trend in Translation Studies. Marco Sonzogni is Senior Lecturer in Italian, School of Languages and Cultures, Victoria University of Wellington, New Zealand. A widely published academic and an award-winning editor, poet and literary translator, he is the Director of the New Zealand Centre for Literary Translation/Te Tumu Whakawhiti Tuhinga.
Graphic design referenced : a visual guide to the language, applications, and history of graphic design
Graphic Design, Referenced is a visual and informational guide to the most commonly referenced terms, historical moments, landmark projects, and influential practitioners in the field of graphic design.
Design Matters: Portfolios 01
During the past few years, portfolio management and self-promotion have taken on a far greater role within a graphic designer's business model. The degree to which they can increase their earned revenue through exceptionally defined, marketing-oriented promotions and portfolio management is paramount. These individuals and agencies now identify their product as cultural tourism and stress the role of their work as economic generators. This book defines the core elements of self-promotion and portfolio creation and provides the insights graphic designers need to showcase their work in unique and creative ways. Case studies demonstrate the different techniques designers use to create successful portfolios for different audiences and measure the results of those efforts. The book also details how often portfolios should be updated and distributed and determine workable budgets to produce a great portfolio.
Recycling and Redesigning Logos
Redesigns are part of every designer's repertoire, but sometimes getting inspired or motivated to redesign an existing logo can be challenging and cumbersome.The goal of maintaining equity by using existing elements in new ways and combining them with new elements is akin to the task of \"recycling\" In other words - how do designers improve and.
JN-Logo: A Logo Database for Aesthetic Visual Analysis
Data are an important part of machine learning. In recent years, it has become increasingly common for researchers to study artificial intelligence-aided design, and rich design materials are needed to provide data support for related work. Existing aesthetic visual analysis databases contain mainly photographs and works of art. There is no true logo database, and there are few public and high-quality design material databases. Facing these challenges, this paper introduces a larger-scale logo database named JN-Logo. JN-Logo provides 14,917 logo images from three well-known websites around the world and uses the votes of 150 graduate students. JN-Logo provides three types of annotation: aesthetic, style and semantic. JN-Logo’s scoring system includes 6 scoring points, 6 style labels and 11 semantic descriptions. Aesthetic annotations are divided into 0–5 points to evaluate the visual aesthetics of a logo image: the worst is 0 points; the best is 5 points. We demonstrate five advantages of the JN-Logo database: logo images as data objects, rich human annotations, quality scores for image aesthetics, style attribute labels and semantic description of style. We establish a baseline for JN-Logo to measure the effectiveness of its performance on algorithmic models of people’s choices of logo images. We compare existing traditional handcrafted and deep-learned features in both the aesthetic scoring task and the style-labeling task, showing the advantages of deep learning features. In the logo attribute classification task, the EfficientNet _B1 model achieved the best results, reaching an accuracy of 0.524. Finally, we describe two applications of JN-Logo: generating logo design style and similarity retrieval of logo content. The database of this article will eventually be made public.