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A Survey on Motion Capture Data Compression Algorithm

Published: 28 August 2019 Publication History

Abstract

With the rapid development of data-driven animation technologies, huge motion capture data has been accumulated. Motion capture data is a kind of spatio-temporal high dimensional data, which needs a lot of storage space. Efficient compression and transmission of motion capture data has become a hot topic in computer animation. In this paper, we induce the characteristics of motion capture data and the general processing pipeline of motion capture data compression algorithm. Then we review the research achievements in the field of motion capture data compression for the last twenty years. According to reduced dimensions, running platform, lossy or lossless, motion data format, environment contact processing and progressivity, we put these motion capture data compression algorithms into different categories. Finally, we look forward to the future research trend.

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ICBDT '19: Proceedings of the 2nd International Conference on Big Data Technologies
August 2019
382 pages
ISBN:9781450371926
DOI:10.1145/3358528
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • Shandong Univ.: Shandong University

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Association for Computing Machinery

New York, NY, United States

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Published: 28 August 2019

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Author Tags

  1. lossless compression
  2. lossy compression
  3. motion capture data
  4. motion compression
  5. progressive compression

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