Deep Learning Based Content Recognition for News Images and Videos

The popularization of mobile Internet represented by 5G has led to the increasing diversification of news content dissemination, and news images and videos have become one of the main carriers of information dissemination. However, the explosive growth in the number of news images and videos makes how to efficiently and accurately recognize their contents a major challenge for the news industry. To this end, this paper delves into deep learning-based content recognition techniques for news images and videos, aiming to ameliorate the intelligence of news content processing. This paper first explores the utilization of deep learning in news image recognition, and realizes the automatic extraction and classification of key information in news images by constructing CNN and other models, which effectively ameliorates the accuracy and efficiency of image recognition. In addition, this paper also studies the design and optimization process of the deep learning model, and finally verifies the effectiveness and superiority of the proposed method. The validation results show that the deep learning-based news image and video content recognition technology can significantly ameliorate the recognition accuracy and provide strong support for the automated processing of news content. In summary, the deep learning-based news image and video content recognition technology proposed in this paper has important theoretical and practical utilization value.