Video Summarization Using Deep Neural Networks: A Survey

Understand

Video summarization technologies aim to create a concise and complete synopsis by selecting the most informative parts of the video content.

• Several approaches have been developed over the last couple of decades and the current state of the art is represented by methods that rely on modern deep neural network architectures.
• This work focuses on the recent advances in the area and provides a comprehensive survey of the existing deep-learning-based methods for generic video summarization.
• After presenting the motivation behind the development of technologies for video summarization, we formulate the video summarization task and discuss the main characteristics of a typical deep-learning-based analysis pipeline.