- Title
- A coarse representation of frames oriented video coding by leveraging cuboidal partitioning of image data
- Creator
- Ahmmed, Ashe; Paul, Manoranjan; Murshed, Manzur; Taubman, David
- Date
- 2020
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/184688
- Identifier
- vital:16529
- Identifier
-
https://doi.org/10.1109/MMSP48831.2020.9287138
- Identifier
- ISBN:9781728193205 (ISBN)
- Abstract
- 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. © 2020 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020, Virtual Tampere, Finland 21-24 September 2020
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2020 IEEE
- Rights
- Open Access
- Subject
- Commonality; Cuboids; HEVC; Video coding
- Full Text
- Reviewed
- Funder
- This work was supported in part by the Australian Research Council (ARC) Discovery Project Grant DP190102574.
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