Abstract
Immersive media representation format based on point clouds has underpinned significant opportunities for extended reality applications. Point cloud in its uncompressed format require very high data rate for storage and transmission. The video based point cloud compression technique projects a dynamic point cloud into geometry and texture video sequences. The projected texture video is then coded using modern video coding standard like HEVC. Since the properties of projected texture video frames are different from traditional video frames, HEVC-based commonality modeling can be inefficient. An improved commonality modeling technique is proposed that employs discrete cosine basis oriented motion models and the domains of such models are approximated by homogeneous regions called cuboids. Experimental results show that the proposed commonality modeling technique can yield savings in bit rate of up to 4.17%.
Original language | English |
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Title of host publication | 2021 IEEE International Conference on Acoustics, Speech and Signal Processing |
Place of Publication | United States |
Publisher | IEEE |
Pages | 1935-1939 |
Number of pages | 5 |
ISBN (Electronic) | 9781728176055 |
ISBN (Print) | 9781728176062 |
DOIs | |
Publication status | Published - 13 May 2021 |
Event | 2021 IEEE International Conference on Acoustics, Speech and Signal Processing - Metro Toronto Convention Centre, Toronto, Canada Duration: 06 Jun 2021 → 11 Jun 2021 https://2021.ieeeicassp.org/default.asp https://ieeexplore.ieee.org/xpl/conhome/9413349/proceeding (Conference proceedings) |
Publication series
Name | |
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Publisher | IEEE |
ISSN (Print) | 1520-6149 |
ISSN (Electronic) | 2379-190X |
Conference
Conference | 2021 IEEE International Conference on Acoustics, Speech and Signal Processing |
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Abbreviated title | Extracting Knowledge from Information |
Country/Territory | Canada |
City | Toronto |
Period | 06/06/21 → 11/06/21 |
Other | The international Conference on Acoustics, Speech, & Signal Processing (ICASSP), is the IEEE Signal Processing Society’s flagship conference on signal processing and its applications. The 46th edition of ICASSP will be held in the dynamic city of Toronto, Canada; one of the most multicultural and cosmopolitan cities in the world. The programme will include keynotes by pre-eminent international speakers, cutting-edge tutorial topics, and forward-looking special sessions. ICASSP also provides a great networking opportunity with a wide range of like-minded professionals from academia, industry and government organizations. |
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