4 papers
Video-based Music Generation
Serkan Sulun
As the volume of video content on the internet grows rapidly, finding a suitable soundtrack remains a significant challenge. This thesis presents EMSYNC (EMotion and SYNChronizatio…
Video Soundtrack Generation by Aligning Emotions and Temporal Boundaries
Serkan Sulun, Paula Viana, Matthew E. P. Davies
Providing soundtracks for videos remains a costly and time-consuming challenge for multimedia content creators. We introduce EMSYNC, an automatic video-based symbolic music generat…
VEMOCLAP: A video emotion classification web application
Serkan Sulun, Paula Viana, Matthew E. P. Davies
We introduce VEMOCLAP: Video EMOtion Classifier using Pretrained features, the first readily available and open-source web application that analyzes the emotional content of any us…
Movie Trailer Genre Classification Using Multimodal Pretrained Features
Serkan Sulun, Paula Viana, Matthew E. P. Davies
We introduce a novel method for movie genre classification, capitalizing on a diverse set of readily accessible pretrained models. These models extract high-level features related…