Lifting-based view compensated compression of volume rendered images for efficient remote visualization

Hariharan G. Lalgudi, Michael W. Marcelling, Ali Bilgin, Mariappan S. Nadar

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

6 Scopus citations

Abstract

Remote visualization of volumetric images has gained importance over the past few years in medical and industrial applications. Volume visualization is a computationally intensive process, often requiring hardware acceleration to achieve a real time viewing experience. One remote visualization model that can accomplish this would transmit rendered images (with dedicated hardware) from the server based on view-point requests from a client. For a given server-client bandwidth, an efficient compression scheme is vital for transmitting high quality rendered images. In this paper, we present a new compression scheme that utilizes the geometric relationship between view-points to exploit the correlation between successive rendered images. The proposed method performs better than AVC, the state of the art video compression standard. Additionally, our scheme obviates motion estimation between rendered images, enabling significant reduction to the complexity of the encoder.

Original languageEnglish (US)
Title of host publicationProceedings - 2008 Data Compression Conference, DCC 2008
Pages442-451
Number of pages10
DOIs
StatePublished - Sep 1 2008
Event2008 Data Compression Conference, DCC 2008 - Snowbird, UT, United States
Duration: Mar 25 2008Mar 27 2008

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314

Other

Other2008 Data Compression Conference, DCC 2008
CountryUnited States
CitySnowbird, UT
Period3/25/083/27/08

Keywords

  • JPEG2000
  • View compensation
  • Volume rendering

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Lalgudi, H. G., Marcelling, M. W., Bilgin, A., & Nadar, M. S. (2008). Lifting-based view compensated compression of volume rendered images for efficient remote visualization. In Proceedings - 2008 Data Compression Conference, DCC 2008 (pp. 442-451). [4483322] (Data Compression Conference Proceedings). https://doi.org/10.1109/DCC.2008.29