Video abstraction

TLDR

The rapid growth of multimedia applications and the need to efficiently manage large audiovisual collections have driven research into video abstraction, a technique that summarizes videos into keyframes or skims to aid browsing and navigation. The article aims to systematically classify existing video abstraction methods. The authors analyze each approach by detailing its underlying components and how they are addressed in specific works.

Abstract

The demand for various multimedia applications is rapidly increasing due to the recent advance in the computing and network infrastructure, together with the widespread use of digital video technology. Among the key elements for the success of these applications is how to effectively and efficiently manage and store a huge amount of audio visual information, while at the same time providing user-friendly access to the stored data. This has fueled a quickly evolving research area known as video abstraction . As the name implies, video abstraction is a mechanism for generating a short summary of a video, which can either be a sequence of stationary images ( keyframes ) or moving images ( video skims ). In terms of browsing and navigation, a good video abstract will enable the user to gain maximum information about the target video sequence in a specified time constraint or sufficient information in the minimum time. Over past years, various ideas and techniques have been proposed towards the effective abstraction of video contents. The purpose of this article is to provide a systematic classification of these works. We identify and detail, for each approach, the underlying components and how they are addressed in specific works.