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Object-based Video Coding for Arbitrary Shape by Visual Saliency and Temporal Correlation

Authors:
Kazuya Ogasawara
Tomo Miyazaki
Yoshihiro Sugaya
Shinichiro Omachi

Keywords: arbitrary shape; visual saliency; object-based coding

Abstract:
This paper addresses a problem of object-based video coding. We propose a video coding method for arbitrary shapes of objects. The proposed method extracts objects on the basis of visual saliency and temporal correlation between frames. Subsequently, we compress the video by changing coding quality for the extracted objects and background regions. The experimental results show that the proposed method can reduce bit rate while preserving target object quality.

Pages: 13 to 16

Copyright: Copyright (c) IARIA, 2016

Publication date: March 20, 2016

Published in: conference

ISSN: 2308-4162

ISBN: 978-1-61208-464-0

Location: Rome, Italy

Dates: from March 20, 2016 to March 24, 2016