English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Multi-video Compression in Texture Space

MPS-Authors
/persons/resource/persons45805

Ziegler,  Gernot
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44911

Lensch,  Hendrik P. A.
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons43978

Ahmed,  Naveed
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44965

Magnor,  Marcus
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

/persons/resource/persons45449

Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Ziegler, G., Lensch, H. P. A., Ahmed, N., Magnor, M., & Seidel, H.-P. (2004). Multi-video Compression in Texture Space. In Proceedings of the 11th IEEE International Conference on Image Processing (pp. 2467-2470). Piscataway, USA: IEEE.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2BBB-5
Abstract
We present a model-based approach to encode multiple synchronized
video streams depicting a dynamic scene from different viewpoints.
With approximate 3D scene geometry available, we compensate for
motion as well as disparity by transforming all video images
to object textures prior to compression.
A two-level hierarchical coding strategy is employed to efficiently
exploit inter-texture coherence as well as to ensure quick random
access during decoding.
Experimental validation shows that attainable compression ratios
range up to 50:1 without subsampling.
The proposed coding scheme is intended for use in conjunction with
Free-Viewpoint Video and 3D-TV applications.