基于情感语义的短视频配乐APP开发
Short Video Soundtrack APP Development Based on Emotional Semantics

视频和音乐是互联网上最受欢迎的两种媒体，两者相辅相成，并且人类对视频和音乐的感知高度相关。然而给视频内容配上合适的背景音乐，通常需要一定的专业知识，普通人大多缺乏这方面的知识，因此本文通过计算机为音乐和图像搭建桥梁，开发设计一个给视频匹配背景音乐的手机APP，旨在给用户视频配上情感相同的音乐，增加整个视频的合理性。本文主要技术手段是利用视频图像和音乐之间的情感语义相似性，通过python的kivy框架来设计开发一款跨平台的视频配乐系统。
Video and music are the two most popular media on the Internet. The two complement each other, and human perceptions of video and music are highly correlated. However, matching the video content with appropriate background music usually requires certain professional knowledge. Most ordinary people lack this knowledge. Therefore, this article builds a bridge between music and images through a computer, and develops and designs a mobile app that matches the background music to the video. It is designed to match the user’s video with music with the same emotion and increase the rationality of the entire video. The main technical means of this paper is to use the emotional semantic similarity between video images and music to design and develop a cross-platform video soundtrack system through the python kivy framework.