论文标题
使用深神经网络图像字幕的有效技术
An Efficient Technique for Image Captioning using Deep Neural Network
论文作者
论文摘要
随着互联网的巨大扩展和每天产生的数万亿千兆字节的数据，为了保持系统的适应性快速变化，对各种工具的开发需求已成为强制性。这些工具之一称为图像字幕。必须正确识别和管理Internet中的每个实体，因此在图像数据的情况下，需要自动标识字幕。同样，缺少标签，图像分类和人造语言的内容生成都需要图像字幕的过程。本文讨论了在单个图像上执行自动图像字幕的一种高效且独特的方法，并讨论了改善其性能和功能的策略。
With the huge expansion of internet and trillions of gigabytes of data generated every single day, the needs for the development of various tools has become mandatory in order to maintain system adaptability to rapid changes. One of these tools is known as Image Captioning. Every entity in internet must be properly identified and managed and therefore in the case of image data, automatic captioning for identification is required. Similarly, content generation for missing labels, image classification and artificial languages all requires the process of Image Captioning. This paper discusses an efficient and unique way to perform automatic image captioning on individual image and discusses strategies to improve its performances and functionalities.
