Compression of PointTexture 3D motion sequences

In Wook Song, Chang-Su Kim, Sang Uk Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this work, we propose two compression algorithms for PointTexture 3D sequences: the octree-based scheme and the motion-compensated prediction scheme. The first scheme represents each PointTexture frame hierarchically using an octree. The geometry information in the octree nodes is encoded by the predictive partial matching (PPM) method. The encoder supports the progressive transmission of the 3D frame by transmitting the octree nodes in a top-down manner. The second scheme adopts the motion-compensated prediction to exploit the temporal correlation in 3D sequences. It first divides each frame into blocks, and then estimates the motion of each block using the block matching algorithm. In contrast to the motion-compensated 2D video coding, the prediction residual may take more bits than the original signal. Thus, in our approach, the motion compensation is used only for the blocks that can be replaced by the matching blocks. The other blocks are PPM-encoded. Extensive simulation results demonstrate that the proposed algorithms provide excellent compression performances.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsA. Vetro, C.W. Chen, C.-C.J. Kuo, T. Zhang, Q. Tian
Publication statusPublished - 2005
EventMultimedia Systems and Applications VIII - Boston, MA, United States
Duration: 2005 Oct 242005 Oct 26


OtherMultimedia Systems and Applications VIII
Country/TerritoryUnited States
CityBoston, MA


  • 3D motion sequences
  • Data compression
  • Depth image based rendering
  • Layered depth images
  • PointTexture images

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics


Dive into the research topics of 'Compression of PointTexture 3D motion sequences'. Together they form a unique fingerprint.

Cite this