Video Summarization in the Deep Learning Era: Current Landscape and Future Directions

In this talk we will provide an overview of the field of video summarization with a focus on the developments, the trends and the open challenges in the era of Deep Learning and Big Data. After a brief introduction to the problem, we will provide a broad taxonomy of the works in the area and the recent trends from multiple perspectives, including types of methodologies/architectures; supervision signals; and modalities. We will then present current datasets and evaluation protocols highlighting their limitations and challenges that are faced with respect to it. Finally, we will close by giving our perspective for the challenges in the field and for interesting future directions.