Personalized video summarization based on group scoring

Author

Darabi, Kaveh ; Ghinea, Gheorghita

Author_Institution

Sch. of Comput. & Inf. Syst., Brunel Univ., Uxbridge, UK

fYear

2014

fDate

9-13 July 2014

Firstpage

310

Lastpage

314

Abstract

In this paper an expert-based model for generation of personalized video summaries is suggested. The video frames are initially scored and annotated by multiple video experts. Thereafter, the scores for the video segments that have been assigned the higher priorities by end users will be upgraded. Considering the required summary length, the highest scored video frames will be inserted into a personalized final summary. For evaluation purposes, the video summaries generated by our system have been compared against the results from a number of automatic and semi-automatic summarization tools that use different modalities for abstraction.

Keywords

expert systems; image segmentation; video signal processing; video streaming; abstraction; end users; expert-based model; group scoring; personalized video summaries generation; personalized video summarization; semi-automatic summarization tool; video frame scoring; video segment assignment; Abstracts; Educational institutions; Information systems; Multimedia communication; Semantics; Streaming media; Visualization; Personalization; Upgrading frames scores; Video summarization; user-centred;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4799-5401-8

Type

conf

DOI

10.1109/ChinaSIP.2014.6889254

Filename

6889254