视频情感计算在广电视听领域的应用研究

Research on the Application of Video Affective Computing in the Field of Radio and Television Audio-visual

视频情感计算是指计算机从视频中分析并提取文本、音频、图像等多模态的情感特征,使用模式识别、机器学习等方法对其执行计算,预测分析观者观看视频后引起的情感反应和情绪转换的技术。本文介绍了视频情感计算的概念,概要阐述了视频情感计算的关键技术与架构,提出了该技术在广电视听领域的应用建议。

Video affective computing refers to the technology that computers analyze and extract multimodal emotional features such as text, audio, and images from videos, use pattern recognition, machine learning and other methods to perform calculations on them, and predict and analyze the emotional response and Emotional transformation caused by viewers after watching the video. This paper introduces the concept of video affective computing, briefly expounds the key technology and architecture of video affective computing, and puts forward suggestions for the application in the field of radio and television listening.