Keyframe-based video summarization using Delaunay clustering
International Journal on Digital Libraries
Video summarization by k-medoid clustering
Proceedings of the 2006 ACM symposium on Applied computing
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Combining graph connectivity & dominant set clustering for video summarization
Multimedia Tools and Applications
IEEE Transactions on Multimedia - Special issue on integration of context and content
An efficient summarization algorithm based on clustering and bitstream extraction
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
STIMO: STIll and MOving video storyboard for the web scenario
Multimedia Tools and Applications
VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method
Pattern Recognition Letters
EURASIP Journal on Advances in Signal Processing
MINMAX optimal video summarization
IEEE Transactions on Circuits and Systems for Video Technology
Information theory-based shot cut/fade detection and video summarization
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 0.00 |
Due to the advancement in multimedia technologies and wide spread usage of internet facilities; there is rapid increase in availability of video data. More specifically, enormous collections of Medical videos are available which has its applications in various aspects like medical imaging, medical diagnostics, training the medical professionals, medical research and education. Due to abundant availability of information in the form of videos, it needs an efficient and automatic technique to manage, analyse, index, access and retrieve the information from the repository. The aim of this paper is to extract good visual content representatives-Summary of keyframes. In order to achieve this, the authors propose a new method for video shot segmentation which in turn leads to extraction of better keyframes as representative for summary. The proposed method is experimented and evaluated using publically available medical videos. As a result, better precision and recall is obtained for shot detection when compared to that of the recent related methods. Evaluation of video summary is done using fidelity measure and compression ratio.