Work

Video Skimming

Year: 2019

Type: article

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 article, 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.

Source: ACM Computing Surveys

DOI: 10.1145/3347712

Authors: Vivekraj V. K., Debashis Sen, Balasubramanian Raman

Institutions: Indian Institute of Technology Roorkee, Indian Institute of Technology Kharagpur

Language: English

Topic: Video Analysis and Summarization

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Ministry of Education, India

Award: G151142473