Video Skimming: Taxonomy and Comprehensive Survey

TL;DR

This paper provides a comprehensive survey of video skimming techniques, including taxonomy, evolution, and evaluation components, highlighting recent advances and the importance of dynamic summarization for better video understanding.

Contribution

It offers a detailed taxonomy and evolution analysis of video skimming methods, along with evaluation components, covering literature from the past decade.

Findings

Taxonomy of video skimming approaches

Evolution of techniques over the last decade

Components for evaluating skimming performance

Abstract

Video skimming, also known as dynamic video summarization, generates a temporally abridged version of a given video. Skimming can be achieved by identifying significant components either in uni-modal or multi-modal features extracted from the video. Being dynamic in nature, video skimming, through temporal connectivity, allows better understanding of the video from its summary. Having this obvious advantage, recently, video skimming has drawn the focus of many researchers benefiting from the easy availability of the required computing resources. In this paper, we provide a comprehensive survey on video skimming focusing on the substantial amount of literature from the past decade. We present a taxonomy of video skimming approaches, and discuss their evolution highlighting key advances. We also provide a study on the components required for the evaluation of a video skimming performance.