Title
Multiple-view Video Coding Using Depth Map in Projective Space
Abstract
In this paper a new video coding by using multiple uncalibrated cameras is proposed. We consider the redundancy between the cameras view points and efficiently compress based on a depth map. Since our target videos are taken with uncalibrated cameras, our depth map is computed not in the real world but in the Projective Space. This is a virtual space defined by projective reconstruction of two still images. This means that the position in the space is correspondence to the depth value. Therefore we do not require full-calibration of the cameras. Generating the depth map requires finding the correspondence between the cameras. We use a "plane sweep" algorithm for it. Our method needs only a depth map except for the original base image and the camera parameters, and it contributes to the effectiveness of compression.
Year
DOI
Venue
2009
10.1007/978-3-642-10520-3_62
ISVC
Keywords
Field
DocType
plane sweep,projective space,multiple-view video coding,depth value,camera parameter,uncalibrated camera,multiple uncalibrated camera,virtual space,new video,depth map,original base image
Computer vision,Computer graphics (images),Computer science,Reference image,Coding (social sciences),Projective reconstruction,Redundancy (engineering),Artificial intelligence,Depth map,Virtual space,Projective space
Conference
Volume
ISSN
Citations 
5876
0302-9743
1
PageRank 
References 
Authors
0.43
8
3
Name
Order
Citations
PageRank
Nina Yorozu110.43
Yuko Uematsu2537.72
Hideo Saito31147169.63