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doi:10.22028/D291-37841
Title: | Low complexity light field compression based on pseudo-temporal circular sequencing |
Author(s): | Hariharan, Harini Priyadarshini Lange, Tobias Herfet, Thorsten |
Language: | English |
Title: | 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) |
Pages: | 1-5 |
Publisher/Platform: | IEEE |
Year of Publication: | 2017 |
Place of publication: | Piscataway, NJ |
Place of the conference: | Cagliari, Italy |
Free key words: | Video Coding and Processing 3D and Multiview Video Future technologies and services of Broadcasting and Video Processing |
DDC notations: | 004 Computer science, internet |
Publikation type: | Conference Paper |
Abstract: | Light fields are gaining more impact in today's filming technology due to post-processing possibilities such as software refocus, perspective shift, reconstruct 3D images, and depth scaling. Light fields are captured light rays at every point in space travelling in every direction, therefore a large amount of data is recorded for representation. For exchange, broadcast and storing of such imagery data, we lack efficient compression techniques. This paper proposes a light field compression approach based on low-complexity preprocessing by pseudo-temporal sequencing frames suitable for state-of-the-art codecs. An efficient novel approach of circular reordering is introduced where the redundancy between frames is maximized and exploited by low-delay HEVC predictive coding. Experimental results showcase a consistent increase in both PSNR and SSIM for several light fields and outperforms available schemes with pseudo-temporal sequencing using HEVC. An increase upto 1 dB gain compared to state-of-the-art reordering techniques using HEVC is achieved. |
DOI of the first publication: | 10.1109/BMSB.2017.7986144 |
Link to this record: | urn:nbn:de:bsz:291--ds-378417 hdl:20.500.11880/34225 http://dx.doi.org/10.22028/D291-37841 |
ISBN: | 978-1-5090-4937-0 978-1-5090-4938-7 (ISBN der Printausgabe) |
Date of registration: | 7-Nov-2022 |
Faculty: | MI - Fakultät für Mathematik und Informatik |
Department: | MI - Informatik |
Professorship: | MI - Prof. Dr. Thorsten Herfet |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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