Emotion Manipulation
The article explores the manipulation of emotions through different means like graphics, motion, text, and voice. It proposes using random swaps, funny images, specialized model training with grouped content, and a database for synchronization. Emotion analysis can be done using emotional/keyword frequency indicators, feature extraction, and video expression acceleration.
Predict emotion by means of graphics, motion, text, voice and swap context to achieve desirable effects.
Add random swap and funny pictures in addition to simple dictation.
You may group different kinds of content for specialized model training.
Syncing is hard. With database, it’s not.
Analyze the conversation with emotional/keyword frequency indicator, do some feature extraction.
Accelerate part of the video to be more expressive