Multi-resolution streaming and rendering of 3-D dynamic data

S. Ramanathan, Ashraf Kassim, Sumit Gupta, Kuntal Sengupta

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

Abstract

The proposed algorithm attempts to combine the partitioning based 3D dynamic data compression and the multi-level k-way graph partitioning algorithms to achieve multi-resolution reconstruction of animation sequences. Partitioning based 3D dynamic data compression efficiently encodes changes between partitioned meshes while the multi-level k-way graph partitioning algorithm provides partitioning information for the input graph (mesh) at various resolutions. Combining the two provides a powerful tool to incorporate both spatial down sampling and temporal compression in a streaming framework where the server can satisfy the needs of a low-end user as well as effectively adapt to dynamically varying bandwidth constraints. At the decoder, the mesh may either be reconstructed at the streamed resolution or at a higher resolution by ingeniously adding vertices so that the viewer does not feel the effects of down sampling, and consequently, the deterioration in quality. Our algorithm deals with meshes whose connectivity does not change with time.

Original languageEnglish
Title of host publication2004 International Conference on Image Processing, ICIP 2004
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1967-1970
Number of pages4
ISBN (Print)0780385543
DOIs
Publication statusPublished - 2004
Externally publishedYes
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: 18 Oct 200421 Oct 2004

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume3
ISSN (Print)1522-4880

Conference

Conference2004 International Conference on Image Processing, ICIP 2004
Country/TerritorySingapore
Period18/10/0421/10/04

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