基于决策树分类模型的动画角色背景颜色匹配算法设计

Mengyang Kan, Ziyun Liu
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引用次数: 0

摘要

传统的查询技术无法解决信息爆炸的问题,如何有效地管理信息爆炸以及如何有效地利用数据库中的数据。色彩作为影视动画中非常重要的视觉元素,不仅是刺激人们视觉的第一要素,也是影视动画造型最重要的表现手段。分类研究在国外发展迅速,算法和模型也很多,但在国内发展相对滞后。其中,决策树方法应用最为广泛。对于管理者来说,决策树分类模型的预测可以更好、更准确地预测动画人物背景的发展趋势,并可以指导动画人物背景管理者做出相应的调整。动画电影中的色彩一直是对电影人物的识别,电影氛围的对比,电影风格的定位,以及电影对观众心理的影响。不同的决策树算法具有不同的特点,充分了解每种算法的优缺点,掌握其具体的应用环境,便于研究人员明确算法的改进点和研究方向。它也很容易为用户选择和应用。决策树算法经常应用于大数据处理。在决策树分类模型的预测中,需要处理大量的信息,决策树算法可以很好地处理这一问题。它影响着观众对作品的直接感受,而在动画创作中色彩的运用是否恰当直接影响着作品的成败。本文主要针对动画人物背景颜色匹配算法提出了一种决策树分类模型来预测动画人物的热度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Color Matching Algorithm for Animation Character Background Based on Decision Tree Classification Model
The traditional query technology can not solve the problem of information explosion, how to manage it effectively and how to use the data in the database effectively. As a very important visual element in film and television animation, color is not only the first element to stimulate people’s vision, but also the most important means of expression for film and television animation modeling. Classification research develops rapidly in foreign countries, and there are many algorithms and models, but it lags behind in domestic development. Among them, the decision tree method is the most widely used. For managers, the prediction of the decision tree classification model can better and more accurately predict the development trend of animated character backgrounds, and can guide the animation character background managers to make corresponding adjustments. The color in animated movies has always been the recognition of movie characters, the contrast of movie atmosphere, the positioning of movie style, and the influence of movies on audience psychology. Different decision tree algorithms have different characteristics, fully understand the advantages and disadvantages of each algorithm, master its specific application environment, and make it easy for researchers to clarify the improvement points and research direction of the algorithm. It is also easy for users to select and apply. Decision tree algorithms are often applied to large data processing. In the prediction of decision tree classification model, a lot of information needs to be processed, and decision tree algorithm can handle this problem well. It affects the direct feeling of the audience to the work, and whether the color is used properly in the animation creation directly affects the success or failure of the work. This paper mainly makes a decision tree classification model for animated character background color matching algorithm to predict the heat of animated characters.
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