基于人工智能的视障自动图像标题工具实现

Vanshika Wadhwa, Bhoomi Gupta, Sachin Gupta
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引用次数: 1

摘要

在自然语言定义的人工智能应用中,图像字幕是一个快速兴起的领域。它在通过数据集获得的图像数据和句子定义的融合中工作,以捕获它们之间存在的交互的有意义的解释。它使用CNN(卷积神经网络)在图像上的阅读技术和LSTM(长短期记忆)类型的RNN(循环神经网络)在句子上一起使用,这样计算机就可以看到图像的上下文,并以自然语言(如英语)显示它。本文结合了计算机视觉和自然语言处理的应用,构建辅助技术,通过为视障人士提供盲文可读的字幕来补充图像等视觉数据,从而更好地了解周围发生的事情并了解他们的环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI Based Automated Image Caption Tool Implementation for Visually Impaired
Image captioning is a rapidly emerging area in the Artificial Intelligence applications for natural language definitions. It works at the confluence of image data obtained through datasets, and the sentence definitions towards capturing meaningful interpretations of the interaction that exists between them. It uses CNN's (Convolutional Neural Networks) reading techniques in image and LSTM (Long Short Term Memory) type RNN (Recurrent Neural Network) over sentences together so that the computer can see the context of the image and display it in a natural language like English. This paper combines the application of computer vision and natural language processing towards building assistive technology that supplements visual data like images by providing braille readable captions for the visually impaired to get a better sense of what is happening around them and understand their surroundings.
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