A taxonomy of depth map creation methods used in multiview video compression

In this paper, we propose a taxonomy of depth map creation methods which are used in multiview video compression. The focus is on investigation of approaches that used in 3D video compression. 3D videos provide a more realistic and extended view that leads to achievement more details about the envir...

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Bibliographic Details
Published in:Multimedia tools and applications 2014-09, Vol.72 (2), p.1887-1909
Main Authors: Ayatollahi, Seyed Morteza, Moghadam, Amir Masoud Eftekhari, Hosseini, Monireh Sadat
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Artificial intelligence
Cameras
Classification
Coding, codes
Computer Communication Networks
Computer engineering
Computer programs
Computer Science
Computer science
control theory
systems
Data Structures and Information Theory
Exact sciences and technology
Hardware
Image processing systems
Information, signal and communications theory
Multimedia
Multimedia Information Systems
Pattern recognition. Digital image processing. Computational geometry
Production methods
Signal and communications theory
Software
Special Purpose and Application-Based Systems
Studies
Taxonomy
Telecommunications and information theory
Three dimensional
Video compression
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Summary:In this paper, we propose a taxonomy of depth map creation methods which are used in multiview video compression. The focus is on investigation of approaches that used in 3D video compression. 3D videos provide a more realistic and extended view that leads to achievement more details about the environment under study. Depth map based methods produce the best results in standard evaluations. We first review the process of creation three-dimensional video and then propose our taxonomy by classifying depth map based methods into three categories: a) hardware or software based depth estimation methods, b) level of algorithms and c) 2D/3D depth map production. Finally, a comparison is performed on software-based methods based on video quality measure to evaluate the performance of some well-known approaches in this area. The most popular benchmarks utilized in papers are also described in full detail.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-013-1474-0