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An Efficient Compression Strategy for Light Field Video Data Management

Authors:
Maissan Bazazeh
Hamid Reza Tohidypour
Junbin Zhang
Panos Nasiopoulos
Zizhou Yu
Yanjun Meng
Gengran Li
Avneet Singh
Abrar Wafa

Keywords: Light field; compression; view synthesis

Abstract:
Light field (LF) technology, facilitated by multi-lens cameras, captures comprehensive light arrays from all directions, revolutionizing visual experiences. Despite its immersive potential, the high data volume poses challenges in practical applications due to bandwidth and storage requirements. Traditional compression standards are ill-suited for processing LF data, necessitating the development of efficient encoding techniques. This constraint underscores the need for innovative approaches to manage the extensive data volume, driving technological progress and creating new market prospects. This paper investigates the possibility of dropping half of the views at the transmitting end and synthesizing them using a 4D LF view synthesis approach to reduce the required bandwidth while maintaining visual quality. Performance evaluations across diverse LF video content showed that our suggested approach outperforms prior methods, yielding significant bandwidth savings without compromising visual quality. This paper provides insights into future directions for LF compression research

Pages: 1 to 5

Copyright: Copyright (c) IARIA, 2024

Publication date: May 26, 2024

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-68558-176-3

Location: Barcelona, Spain

Dates: from May 26, 2024 to May 30, 2024