Progressive compression and transmission of PointTexture images

In Wook Song; Chang-Su Kim; Sang Uk Lee

doi:10.1016/j.jvcir.2005.10.001

Progressive compression and transmission of PointTexture images

In Wook Song, Chang-Su Kim, Sang Uk Lee

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

A progressive compression and transmission algorithm for PointTexture 3-D images is proposed in this work. The proposed algorithm represents a PointTexture image hierarchically using an octree. The geometry information in octree nodes is encoded by the predictive partial matching (PPM) method, while the color information is encoded using the discrete cosine transform (DCT). The encoder achieves the progressive transmission of the 3-D image by transmitting the octree nodes in a top-down manner. We develop two transmission schemes, based on the rate-distortion (R-D) optimization and the view-dependent optimization respectively, to maximize the image quality subject to a given bit budget. Extensive simulation results demonstrate that the proposed algorithm is an efficient method for progressive transmission of 3-D data.

Original language	English
Pages (from-to)	1090-1107
Number of pages	18
Journal	Journal of Visual Communication and Image Representation
Volume	17
Issue number	5
DOIs	https://doi.org/10.1016/j.jvcir.2005.10.001
Publication status	Published - 2006 Oct

Keywords

3D image coding
MPEG-4
PointTexture
Rate-distortion optimization
View-dependent optimization

ASJC Scopus subject areas

Signal Processing
Media Technology
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1016/j.jvcir.2005.10.001

Cite this

@article{1cdeb9adf9d141948da88bd303ef74c2,

title = "Progressive compression and transmission of PointTexture images",

abstract = "A progressive compression and transmission algorithm for PointTexture 3-D images is proposed in this work. The proposed algorithm represents a PointTexture image hierarchically using an octree. The geometry information in octree nodes is encoded by the predictive partial matching (PPM) method, while the color information is encoded using the discrete cosine transform (DCT). The encoder achieves the progressive transmission of the 3-D image by transmitting the octree nodes in a top-down manner. We develop two transmission schemes, based on the rate-distortion (R-D) optimization and the view-dependent optimization respectively, to maximize the image quality subject to a given bit budget. Extensive simulation results demonstrate that the proposed algorithm is an efficient method for progressive transmission of 3-D data.",

keywords = "3D image coding, MPEG-4, PointTexture, Rate-distortion optimization, View-dependent optimization",

author = "Song, {In Wook} and Chang-Su Kim and Lee, {Sang Uk}",

note = "Funding Information: This work was supported partly by Samsung Advanced Institute of Technology, partly by a Korea University Grant, and partly by the Ministry of Information and Communications, Korea, under the Information Technology Research Center (ITRC) support program. ",

year = "2006",

month = oct,

doi = "10.1016/j.jvcir.2005.10.001",

language = "English",

volume = "17",

pages = "1090--1107",

journal = "Journal of Visual Communication and Image Representation",

issn = "1047-3203",

publisher = "Academic Press Inc.",

number = "5",

}

TY - JOUR

T1 - Progressive compression and transmission of PointTexture images

AU - Song, In Wook

AU - Kim, Chang-Su

AU - Lee, Sang Uk

N1 - Funding Information: This work was supported partly by Samsung Advanced Institute of Technology, partly by a Korea University Grant, and partly by the Ministry of Information and Communications, Korea, under the Information Technology Research Center (ITRC) support program.

PY - 2006/10

Y1 - 2006/10

N2 - A progressive compression and transmission algorithm for PointTexture 3-D images is proposed in this work. The proposed algorithm represents a PointTexture image hierarchically using an octree. The geometry information in octree nodes is encoded by the predictive partial matching (PPM) method, while the color information is encoded using the discrete cosine transform (DCT). The encoder achieves the progressive transmission of the 3-D image by transmitting the octree nodes in a top-down manner. We develop two transmission schemes, based on the rate-distortion (R-D) optimization and the view-dependent optimization respectively, to maximize the image quality subject to a given bit budget. Extensive simulation results demonstrate that the proposed algorithm is an efficient method for progressive transmission of 3-D data.

AB - A progressive compression and transmission algorithm for PointTexture 3-D images is proposed in this work. The proposed algorithm represents a PointTexture image hierarchically using an octree. The geometry information in octree nodes is encoded by the predictive partial matching (PPM) method, while the color information is encoded using the discrete cosine transform (DCT). The encoder achieves the progressive transmission of the 3-D image by transmitting the octree nodes in a top-down manner. We develop two transmission schemes, based on the rate-distortion (R-D) optimization and the view-dependent optimization respectively, to maximize the image quality subject to a given bit budget. Extensive simulation results demonstrate that the proposed algorithm is an efficient method for progressive transmission of 3-D data.

KW - 3D image coding

KW - MPEG-4

KW - PointTexture

KW - Rate-distortion optimization

KW - View-dependent optimization

UR - http://www.scopus.com/inward/record.url?scp=33748596345&partnerID=8YFLogxK

U2 - 10.1016/j.jvcir.2005.10.001

DO - 10.1016/j.jvcir.2005.10.001

M3 - Article

AN - SCOPUS:33748596345

SN - 1047-3203

VL - 17

SP - 1090

EP - 1107

JO - Journal of Visual Communication and Image Representation

JF - Journal of Visual Communication and Image Representation

IS - 5

ER -

Progressive compression and transmission of PointTexture images

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this