Skip to main content

Online MoCap Data Coding with Bit Allocation, Rate Control, and Motion-Adaptive Post-Processing

Resource type
Date created
2017-01
Authors/Contributors
Author (aut): Kwak, Choong-Hoon
Author (aut): Bajic, Ivan V.
Abstract
With the advancements in methods for capturing 3D object motion, motion capture (MoCap) data are starting to be used beyond their traditional realm of animation and gaming in areas such as the arts, rehabilitation, automotive industry, remote interactions, and so on. As the amount of MoCap data increases, compression becomes crucial for further expansion and adoption of these technologies. In this paper, we extend our previous work on low-delay MoCap data compression by introducing two improvements. The first improvement is the bit allocation to long-term and short-term reference MoCap frames, which provides a 10-15% reduction in coded bitrate at the same quality. The second improvement is the post-processing in the form of motion-adaptive temporal low-pass filtering, which is able to provide another 9-13%savings in the bitrate. The experimental results also indicate that the proposed online MoCap codec is competitive with several state-of-the-art offline codecs. Overall, the proposed techniques integrate into a highly effective online MoCap codec that is suitable for low-delay applications, whose implementation is provided alongside this paper to aid further research in the field.
Document
Identifier
DOI: 10.1109/TMM.2017.2655423
Published as
Kwak, C.H., & Bajic, I.V. (2017). Online MoCap Data Coding with Bit Allocation, Rate Control, and Motion-Adaptive Post-Processing. IEEE Transactions on Multimedia. http://doi.org/10.1109/TMM.2017.2655423
Publication title
IEEE Transactions on Multimedia
Document title
Online MoCap Data Coding with Bit Allocation, Rate Control, and Motion-Adaptive Post-Processing
Date
2017
Publisher DOI
10.1109/TMM.2017.2655423
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Language
English
Member of collection
Download file Size
tmm2655423.pdf 579.53 KB

Views & downloads - as of June 2023

Views: 19
Downloads: 1