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CHLUBNA, T. ZEMČÍK, P. MILET, T.
Original Title
Efficient Random-Access GPU Video Decoding for Light-Field Rendering
Type
journal article in Web of Science
Language
English
Original Abstract
Compression method for GPU streaming of discrete light fields is proposed in this paper. Views on the scene are encoded with video codec to enable streaming in real time. Instead of using a classic scheme, all frames are encoded according to one reference frame. Any frame is decoded directly, in a random-access manner that is suitable for light-field rendering methods, where only few frames are necessary on the GPU. The proposed scheme reaches the best decoding quality/time ratio in comparison to other schemes, where all preceding frames need to be decompressed, and all-key-frame video that supports random access, but is extremely large. The proposed method solves the space-requirements and streaming-bandwidth issues using the GPU accelerated decoding, and enables incorporating light-field assets in real-time 3D simulations. Compared to existing methods, the proposal is easy to implement, does not depend on specific video format or extension and is efficient on consumer GPUs.
Keywords
light field, video decoding, GPU acceleration, image-based rendering
Authors
CHLUBNA, T.; ZEMČÍK, P.; MILET, T.
Released
10. 6. 2024
ISBN
1047-3203
Periodical
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
Year of study
2024
Number
102
State
United States of America
Pages from
1
Pages to
14
Pages count
URL
https://www.sciencedirect.com/science/article/pii/S1047320324001561
BibTex
@article{BUT189074, author="Tomáš {Chlubna} and Pavel {Zemčík} and Tomáš {Milet}", title="Efficient Random-Access GPU Video Decoding for Light-Field Rendering", journal="JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION", year="2024", volume="2024", number="102", pages="1--14", doi="10.1016/j.jvcir.2024.104201", issn="1047-3203", url="https://www.sciencedirect.com/science/article/pii/S1047320324001561" }