Incorporating Depth-Image Based View-Prediction into H.264 for Multiview-Image Coding

We investigate the coding of multiview images obtained from a set of multiple cameras. To exploit the inter-view correlation, two view-prediction tools have been implemented and used in parallel: a block-based motion compensation scheme and a depth image based rendering technique (DIBR). Whereas DIB...

Full description

Saved in:
Bibliographic Details
Main Authors: Morvan, Y., Farin, D., de With, P.H.N.
Format: Conference Proceeding
Language:English
Subjects:
Cameras
depth image based rendering
Image coding
Information geometry
Layout
Motion compensation
Multiview video coding
prediction methods
Predictive coding
Rendering (computer graphics)
Robustness
Video coding
Video compression
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We investigate the coding of multiview images obtained from a set of multiple cameras. To exploit the inter-view correlation, two view-prediction tools have been implemented and used in parallel: a block-based motion compensation scheme and a depth image based rendering technique (DIBR). Whereas DIBR relies on an accurate depth image, the block-based motion-compensation scheme can be performed without any geometry information. Our encoder adaptively selects the most appropriate prediction scheme using a rate-distortion criterion for an optimal prediction-mode selection. The attractiveness of the algorithm is that the compression algorithm is robust against inaccurately estimated depth images and requires only one single reference camera for fast random-access to different views. We present experimental results for several multiview sequences, that result in a quality improvement of up to 1.4 dB as compared to H.264 compression.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2007.4378927