Paper Info
Title
A novel user-centered design for personalized video summarization
Abstract
In the past, several automatic video summarization systems had been proposed to generate video summary. However, a generic video summary that is generated based only on audio, visual and textual saliencies will not satisfy every user. This paper proposes a novel system for generating semantically meaningful personalized video summaries, which are tailored to the individual user's preferences over video semantics. Each video shot is represented using a semantic multinomial which is a vector of posterior semantic concept probabilities. The proposed system stitches video summary based on summary time span and top-ranked shots that are semantically relevant to the user's preferences. The proposed summarization system is evaluated using both quantitative and subjective evaluation metrics. The experimental results on the performance of the proposed video summarization system are encouraging.
Year
DOI
Venue
2014
10.1109/ICMEW.2014.6890642
ICME Workshops
Keywords
Field
DocType
video signal processing,generic video summary,visual saliency,multimedia retrieval and browsing,user preferences,semantic multinomial,video semantics,summary time span,audio saliency,user centered design,top-ranked shots,content management,textual saliency,personalization,posterior semantic concept probabilities,personalized video summarization,video summarization,multimedia information systems,automatic video summarization systems,computational modeling,user interfaces,visualization,semantics,silicon,vectors
Automatic summarization,Information retrieval,Computer science,Visualization,Video tracking,User interface,Multimedia information systems,Semantics,Personalization,User-centered design
Conference
ISSN
Citations 
PageRank 
1945-7871
2
0.36
References 
Authors
11
4
Name
Order
Citations
PageRank
Gheorghita Ghinea1979104.23
Rajkumar Kannan2406.88
Sridhar Swaminathan3121.47
Suresh Kannaiyan491.80