利用深度学习生成图像标题

M. Sailaja, K. Harika, B. Sridhar, Rajan Singh, V. Charitha, Koppula Srinivas Rao
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引用次数: 0

摘要

在过去几年里,深度神经网络使图像标题成为可能。图像标题生成器根据数据集为应用的输入图像提供适当的标题。本作品提出了一个基于深度学习的模型,并利用它为输入图像生成标题。该模型将图像作为输入,并通过使用一些算法(如 CNN 和 LSTM),将与给定输入图像相关的句子框架化。CNN 模型用于识别图像中存在的对象,而长短期记忆(LSTM)模型不仅会生成句子,还会总结文本并生成适合项目的标题。因此,建议的模型主要侧重于识别对象,并为输入图像生成最合适的标题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Caption Generator using Deep Learning
Over the last few years deep neural network made image captioning conceivable. Image caption generator provides an appropriate title for an applied input image based on the dataset. The present work proposes a model based on deep learning and utilizes it to generate caption for the input image. The model takes an image as input and frame the sentence related to the given input image by using some algorithms like CNN and LSTM. This CNN model is used to identify the objects that are present in the image and Long Short-Term Memory (LSTM) model will not only generate the sentence but summarize the text and generate the caption that is suitable for the project. So, the proposed model mainly focuses on identify the objects and generating the most appropriate title for the input images.
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