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Scalable Video Summarization based on Visual Attention Model

Authors:
Amr Abozeid
Hesham Farouk
Kamal ElDahshan

Keywords: Scalable Video Coding; Summarization; Visual Attention Model; Video Processing.

Abstract:
Scalable video coding and summarization are becoming important research fields in many adaptive video applications. In this paper, we propose a scalable video summarization framework based on visual attention model. This framework utilizes the scalable video coding to produce scalable summaries. Experiments have been conducted to prove the concept and to measure the time performance of the proposed framework. The results show that the proposed framework is an efficient and promising solution.

Pages: 30 to 35

Copyright: Copyright (c) IARIA, 2018

Publication date: February 18, 2018

Published in: conference

ISSN: 2308-4162

ISBN: 978-1-61208-611-8

Location: Barcelona, Spain

Dates: from February 18, 2018 to February 22, 2018