Please use this identifier to cite or link to this item:
Title: Video summarization by group scoring
Authors: Darabi, K
Ghinea, G
Keywords: highest scored frames;saliency detection;user-centred;video summarization
Issue Date: 29-Sep-2014
Publisher: IEEE Computer Society
Citation: Darabi, K. and Ghinea, G. (2014) 'Video summarization by group scoring', Proceedings of the 2014 International Conference on Multimedia Computing and Systems (ICMCS), Marrakech, Morocco, 14-16 April 2014, pp. 112 - 116. doi: 10.1109/ICMCS.2014.6911240.
Abstract: In this paper a new model for user-centered video summarization is presented. Involvement of more than one expert in generating the final video summary should be regarded as the main use case for this algorithm. This approach consists of three major steps. First, the video frames are scored by a group of operators. Next, these assigned scores are averaged to produce a singular value for each frame and lastly, the highest scored video frames alongside the corresponding audio and textual contents are extracted to be inserted into the summary. The effectiveness of this approach has been evaluated by comparing the video summaries generated by this system against the results from a number of automatic summarization tools that use different modalities for abstraction.
ISBN: 978-1-4799-3823-0
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.643.26 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.