3D models coding and morphing for efficient video compression

This paper presents new results in the field of video coding and compression using 3D information. Contrary to prior art in 3D model-based coding where 3D models have to be known, the 3D models are here automatically computed from the original video sequence. The camera parameters and the scene cont...

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Bibliographic Details
Published in:Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004 Vol. 1; p. I
Main Authors: Galpin, F., Balter, R., Morin, L., Deguchi, K.
Format: Conference Proceeding
Language:English
Japanese
Published: Los Alamitos, California IEEE 12.11.2004
IEEE Computer Society
Subjects:
Applied sciences
Artificial intelligence
Bit rate
Cameras
Computer science; control theory; systems
Computer vision
Exact sciences and technology
Layout
Pattern recognition. Digital image processing. Computational geometry
Streaming media
Video coding
Video compression
Video sequences
Visualization
Video coding
Computer vision
Visualization
Image coding
Image processing
Image sequence
Data compression
Image compression
Pattern recognition
Information compression
Modeling
ISBN:9780769521589, 0769521584
ISSN:1063-6919, 1063-6919
Online Access:Get full text
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Summary:This paper presents new results in the field of video coding and compression using 3D information. Contrary to prior art in 3D model-based coding where 3D models have to be known, the 3D models are here automatically computed from the original video sequence. The camera parameters and the scene content are supposed unknown and we only assume a static scene viewed by a moving monocular camera. The video sequence is then processed on the fly. A stream of 3D models is extracted and compressed, using adapted computer vision and compression techniques. The visualization of the reconstructed video sequence uses an adapted morphing method. We finally show results obtained with the proposed compression scheme, compared with the H26L compression standard. We demonstrate the efficiency of our approach, especially in the field of very low bitrate coding.
ISBN:9780769521589
0769521584
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2004.1315051