Image Feature Understanding and Semantic Representation Based on Deep Learning

Abstract

Image feature understanding and semantic expression is an interdisciplinary subject involving computer vision, natural language processing, machine learning and so on. It has been the focus and difficulty in the field of computer vision and image processing. At the same time, it is also an important part of the intelligence of computer vision, which can serve all fields of life and industry, and has very important research significance. With the development of deep neural network, this paper will do some research on image feature understanding and semantic expression based on deep learning. The image feature understanding and semantic expression uses the depth neural network as a tool to construct a network model that maps from the basic visual features of the image to the high-level semantic description, aiming at the complex target image. get a natural language description based on the semantic content of the image. In this way, the semantic information contained in the image can be translated into natural language text.