Human computation implementation of text to user manipulative scene

Mahasweta Sarma, R. Sagar
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Abstract

This is a research based project on converting a line of text into an automated and user-manipulative scene with the appropriate assets(objects), and on how the objects can be extracted from the sentence and taken dynamically from cloud, in the form of google images. An automated scene will first be generated which will be followed by a user scene where the person writing the sentence can create his/her own scene by dragging images from google dynamically and placing them wherever they want them to be, therefore being able to create their own perfect scene. Also, the images from the google search engine should not be ambiguous or noisy. The project covers some acute areas of artificial intelligence, natural language processing and the concept of ontologies along with core java programming. This paper is a continuation of my earlier works that has been done on this topic. In our previous paper we proposed the very idea of our text to scene tool and in this paper we will be showing its implementation. The paper covers a brief introduction to the concept of text to scene, followed by the problem statement, the steps taken in implementing the tool, the literature cited and at last the final outcome along with future implications.
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人工计算实现文本对用户操控场景的实现
这是一个基于研究的项目,将一行文本转换为具有适当资产(对象)的自动化和用户操作场景,以及如何从句子中提取对象并以google图像的形式动态地从云中提取对象。首先会生成一个自动化的场景,然后是一个用户场景,在这个场景中,写句子的人可以通过从谷歌动态拖动图像并将它们放置在他们想要的地方来创建他/她自己的场景,因此能够创建自己的完美场景。此外,来自谷歌搜索引擎的图像不应该含糊不清或嘈杂。该项目涵盖了人工智能、自然语言处理和本体概念以及核心java编程的一些尖锐领域。这篇论文是我在这个主题上所做的早期工作的延续。在我们之前的论文中,我们提出了我们的文本到场景工具的想法,在本文中,我们将展示其实现。本文简要介绍了文本到场景的概念,然后是问题陈述,实施该工具所采取的步骤,引用的文献,最后是最终结果以及未来的影响。
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