The full text of this article

 

Shot boundary-based keyframe extraction for video summarisation
by G.G. Lakshmi Priya; S. Domnic
International Journal of Computational Intelligence Studies (IJCISTUDIES), Vol. 3, No. 2/3, 2014

 

Abstract: We propose a new automatic video summarisation technique using shot boundary-based keyframe extraction method. Initially, the frames are segmented into shots by identifying the transitions using a new CEM-visual content descriptor (colour, edge strength, moments). From the segmented shots, motionless visual content representative frames known as keyframes are extracted. However, the number of keyframes to be extracted for each shot is determined using the shot dispersion ratio. The proposed shot boundary detection algorithm and video keyframe extraction technique are implemented and evaluated over TRECVID dataset. Compared with existing related algorithms, our algorithm yields better Fl-score of 94% for shot boundary detection. Also, our algorithm yields average fidelity value of 0.80 and average compression rate of 0.88% for video summary.

Online publication date: Wed, 11-Jun-2014

 

is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

 
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

 
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Intelligence Studies (IJCISTUDIES):
Login with your Inderscience username and password:

 

    Username:        Password:         

Forgotten your password?


 
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

 
If you still need assistance, please email subs@inderscience.com