Abstract-Color theme or color palette can deeply influence the quality and the feeling of a photograph or a graphical design. Although color palettes may come from different sources such as online crowd-sourcing, photographs and graphical designs, in this paper, we consider color palettes extracted from fine art collections, which we believe to be an abundant source of stylistic and unique color themes. We aim to capture color styles embedded in these collections by means of statistical models and to build practical applications upon these models. As artists often use their personal color themes in their paintings, making these palettes appear frequently in the dataset, we employed density estimation to capture the characteristics of palette data. Via density estimation, we carried out various predictions and interpolations on palettes, which led to promising applications such as photo-style exploration, real-time color suggestion, and enriched photo recolorization. It was, however, challenging to apply density estimation to palette data as palettes often come as unordered sets of colors, which make it difficult to use conventional metrics on them. To this end, we developed a divide-and-conquer sorting algorithm to rearrange the colors in the palettes in a coherent order, which allows meaningful interpolation between color palettes. To confirm the performance of our model, we also conducted quantitative experiments on datasets of digitized paintings collected from the Internet and received favorable results.
Maintaining consistent styles across glyphs is an arduous task in typeface design. In this work we introduce Flexy-Font, a flexible tool for synthesizing a complete typeface that has a consistent style with a given small set of glyphs. Motivated by a key fact that typeface designers often maintain a library of glyph parts to achieve a consistent typeface, we intend to learn part consistency between glyphs of different characters across typefaces. We take a part assembling approach by firstly decomposing the given glyphs into semantic parts and then assembling them according to learned sets of transferring rules to reconstruct the missing glyphs. To maintain style consistency, we represent the style of a font as a vector of pairwise part similarities. By learning a distribution over these feature vectors, we are able to predict the style of a novel typeface given only a few examples. We utilize a popular machine learning method as well as retrieval-based methods to quantitatively assess the performance of our feature vector, resulting in favorable results. We also present an intuitive interface that allows users to interactively create novel typefaces with ease. The synthesized fonts can be directly used in real-world design.
To survive and attain sustainability development goals in a highly competitive landscape, startups need to develop and effective business plan. This paper examines this issue in the context of pre-startup planning for a new small business, which typically lack resources. In this paper, a project is designed to exploit the market niche from the "allencompassing" movement in beauty and thus open a vegan beauty enterprise in Vietnam called PLUMPED. Through the lens of 3 core theories: Stakeholder Theory, Resource-based Theory and Goal Setting Theory (Locke & Latham, 1990), and relevant academic tools (PESTEL, Porter Five Forces, Value Chain, SWOT, VRIO, Marketing Mix 7Ps), the main purpose of this empirical study is to propose a framework that can be beneficial for owned startups to develop and execute their business plan through effectively managing and using its limited resource.Our study, which focuses on external perspective and internal processes adopts a mixed method approach and is based on the data collected from a sample of 268 potential customers, and 12 interviews with suppliers, customers, and owned startups.PLUMPED's Penetrated Market has been examined through both secondary (3,157,800 audiences) and primary data collection at 17,651.4 audiences, respectively. The predicted sale and product consignments are then seemingly calculated and become an antecedence for Marketing Strategy, Operation Plan and Financial Plan below. This business plan requires an initial capital of £40,000 including £20,000 of personal capital and £20,000 loan from private investors.
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