Analysis of the decoding-complexity of compressed image-based scene representations

Ingo Bauermann, Eckehard Steinbach

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Interactive navigation in image-based scenes requires random access to the compressed reference image data. When using state of the art block-based hybrid video coding techniques, the degree of inter and intra block dependencies introduced during compression has an impact on the effort required to access reference image data and therefore delimits the response time for interactive applications. In this work a theoretical model for the decoding-complexity of compressed image-based scene representations is presented and evaluated. Results show the validity of the model. Additionally, results for decoding-complexity constrained rate distortion optimization (RDC) using our model show the benefit of incorporating the computational power of client devices into the compression process.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PublisherIEEE Computer Society
Pages449-452
Number of pages4
ISBN (Print)1424414377, 9781424414376
DOIs
StatePublished - 2006
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: 16 Sep 200719 Sep 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume6
ISSN (Print)1522-4880

Conference

Conference14th IEEE International Conference on Image Processing, ICIP 2007
Country/TerritoryUnited States
CitySan Antonio, TX
Period16/09/0719/09/07

Keywords

  • Compression
  • Decoding complexity
  • Image-based rendering

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