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A Coarse Representation of Frames Oriented Video Coding by Leveraging Cuboidal Partitioning of Image Data

Version 2 2024-06-06, 03:40
Version 1 2022-11-28, 23:33
conference contribution
posted on 2024-06-06, 03:40 authored by A Ahmmed, M Paul, Manzur MurshedManzur Murshed, D Taubman
Video coding algorithms attempt to minimize the significant commonality that exists within a video sequence. Each new video coding standard contains tools that can perform this task more efficiently compared to its predecessors. In this work, we form a coarse representation of the current frame by minimizing commonality within that frame while preserving important structural properties of the frame. The building blocks of this coarse representation are rectangular regions called cuboids, which are computationally simple and has a compact description. Then we propose to employ the coarse frame as an additional source for predictive coding of the current frame. Experimental results show an improvement in bit rate savings over a reference codec for HEVC, with minor increase in the codec computational complexity.

History

Volume

00

Pagination

1-6

Location

Tampere, Finland

Start date

2020-09-21

End date

2020-09-24

ISSN

2163-3517

ISBN-13

9781728193205

Language

eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

MMSP 2020 : Workshop on Multimedia Signal Processing. Proceedings of the Institute of Electrical and Electronics Engineers 2020 conference

Event

Institute of Electrical and Electronics Engineers. Conference (2020, Tampere, Finland)

Publisher

Institute of Electrical and Electronics Engineers

Place of publication

Piscataway, N.J.

Series

IEEE International Workshop on Multimedia Signal Processing

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