For 3D object representation, volumetric contents like meshes and point clouds provide suitable formats. However, a dynamic mesh sequence may require significantly large amount of data because it consists of information that varies with time. Hence, for the facilitation of storage and transmission of such content, efficient compression technologies are required. MPEG has started standardization activities aiming to develop a mesh compression standard that would be able to handle dynamic meshes with time varying connectivity information and time varying attribute maps. The attribute maps are features associated with the mesh surface and stored as 2D images/videos. In this paper, we propose to capture the commonality information in the dynamic mesh attribute maps using the cuboidal partitioning algorithm. This algorithm is capable of modeling both the global and local commonality within an image in a compact and computationally efficient way. Experimental results show that the proposed approach can outperform the anchor HEVC codec, suggested by MPEG to encode such sequences, with a bit rate savings of up to 3.66%.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Visual Communications and Image Processing, VCIP 2022
Place of PublicationUnited States
Number of pages5
ISBN (Electronic)9781665475921
ISBN (Print)9781665475938
Publication statusE-pub ahead of print - 16 Jan 2023
Event2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) - Virtual, Suzhou, China
Duration: 13 Dec 202216 Dec 2022
https://ieeexplore-ieee-org.ezproxy.csu.edu.au/xpl/conhome/10008391/proceeding (Proceedings)
https://web.archive.org/web/20221114191144/http://vcip2022.org/ (Conference website)

Publication series

Name2022 IEEE International Conference on Visual Communications and Image Processing, VCIP 2022


Conference2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)
OtherThe IEEE Visual Communications and Image Processing (VCIP) Conference, sponsored by the IEEE Circuits and Systems Society, will be held in Suzhou, China, during December 13 – 16, 2022. VCIP is the oldest conference in the field and one of the flagship conferences of the IEEE CAS Visual Signal Processing and Communications. Since 1986 VCIP has served as a premier forum for the exchange of fundamental and applied research in the field of visual communications and image processing.
VCIP has a long tradition in showcasing pioneering technologies in visual communication and processing, and many landmark papers first appeared in VCIP. VCIP 2022 will carry on this tradition of VCIP in disseminating the state of art of visual communication technology, brainstorming and envisioning the future of visual communication technology and applications. The main theme would be new media, including VR, point cloud capture and playback, and new visual processing tools including deep learning for intelligence distilling in visual information pre- and post-processing such as de-blurring, super resolution, 3D understanding, and content based image enhancement. High quality papers will be recommended to TCSVT for journal extension!
Internet address


Dive into the research topics of 'Dynamic mesh commonality modeling using the cuboidal partitioning'. Together they form a unique fingerprint.

Cite this