R-D optimized compression of 3-D mesh sequences based on principal component analysis

Junhee Heu; Jeong Hyu Yang; Chang-Su Kim; Sang Uk Lee

doi:10.1145/1185448.1185464

R-D optimized compression of 3-D mesh sequences based on principal component analysis

Junhee Heu, Jeong Hyu Yang, Chang-Su Kim, Sang Uk Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

We propose an effective compression algorithm for three-dimensional (3-D) mesh sequences, based on principal components analysis (PCA). PCA achieves a coding gain by representing a mesh sequence with a small number of singular vectors. We develop a rate model and a distortion model for the singular vectors and propose an adaptive bit allocation scheme to maximize the coding performance. Specifically, we determine the quantizer step size for each singular vector to minimize the distortion, subject to the constraint on the overall bit rate. Simulation results demonstrate that the proposed algorithm provides much better rate-distortion (RD) performance than the conventional PCA coders.

Original language	English
Title of host publication	Proceedings of the 44th ACM Southeast Conference, ACMSE 2006
Pages	68-73
Number of pages	6
DOIs	https://doi.org/10.1145/1185448.1185464
Publication status	Published - 2006
Event	44th Annual ACM Southeast Conference, ACMSE 2006 - Melbourne, FL, United States Duration: 2006 Mar 10 → 2006 Mar 12

Publication series

Name	Proceedings of the Annual Southeast Conference
Volume	2006

Other

Other	44th Annual ACM Southeast Conference, ACMSE 2006
Country/Territory	United States
City	Melbourne, FL
Period	06/3/10 → 06/3/12

ASJC Scopus subject areas

Engineering(all)

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10.1145/1185448.1185464

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Heu, J, Yang, JH, Kim, C-S & Lee, SU 2006, R-D optimized compression of 3-D mesh sequences based on principal component analysis. in Proceedings of the 44th ACM Southeast Conference, ACMSE 2006. Proceedings of the Annual Southeast Conference, vol. 2006, pp. 68-73, 44th Annual ACM Southeast Conference, ACMSE 2006, Melbourne, FL, United States, 06/3/10. https://doi.org/10.1145/1185448.1185464

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title = "R-D optimized compression of 3-D mesh sequences based on principal component analysis",

abstract = "We propose an effective compression algorithm for three-dimensional (3-D) mesh sequences, based on principal components analysis (PCA). PCA achieves a coding gain by representing a mesh sequence with a small number of singular vectors. We develop a rate model and a distortion model for the singular vectors and propose an adaptive bit allocation scheme to maximize the coding performance. Specifically, we determine the quantizer step size for each singular vector to minimize the distortion, subject to the constraint on the overall bit rate. Simulation results demonstrate that the proposed algorithm provides much better rate-distortion (RD) performance than the conventional PCA coders.",

author = "Junhee Heu and Yang, {Jeong Hyu} and Chang-Su Kim and Lee, {Sang Uk}",

year = "2006",

doi = "10.1145/1185448.1185464",

language = "English",

isbn = "1595933158",

series = "Proceedings of the Annual Southeast Conference",

pages = "68--73",

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note = "44th Annual ACM Southeast Conference, ACMSE 2006 ; Conference date: 10-03-2006 Through 12-03-2006",

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AU - Yang, Jeong Hyu

AU - Kim, Chang-Su

AU - Lee, Sang Uk

PY - 2006

Y1 - 2006

N2 - We propose an effective compression algorithm for three-dimensional (3-D) mesh sequences, based on principal components analysis (PCA). PCA achieves a coding gain by representing a mesh sequence with a small number of singular vectors. We develop a rate model and a distortion model for the singular vectors and propose an adaptive bit allocation scheme to maximize the coding performance. Specifically, we determine the quantizer step size for each singular vector to minimize the distortion, subject to the constraint on the overall bit rate. Simulation results demonstrate that the proposed algorithm provides much better rate-distortion (RD) performance than the conventional PCA coders.

AB - We propose an effective compression algorithm for three-dimensional (3-D) mesh sequences, based on principal components analysis (PCA). PCA achieves a coding gain by representing a mesh sequence with a small number of singular vectors. We develop a rate model and a distortion model for the singular vectors and propose an adaptive bit allocation scheme to maximize the coding performance. Specifically, we determine the quantizer step size for each singular vector to minimize the distortion, subject to the constraint on the overall bit rate. Simulation results demonstrate that the proposed algorithm provides much better rate-distortion (RD) performance than the conventional PCA coders.

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DO - 10.1145/1185448.1185464

M3 - Conference contribution

AN - SCOPUS:34248382073

SN - 1595933158

SN - 9781595933157

T3 - Proceedings of the Annual Southeast Conference

SP - 68

EP - 73

BT - Proceedings of the 44th ACM Southeast Conference, ACMSE 2006

T2 - 44th Annual ACM Southeast Conference, ACMSE 2006

Y2 - 10 March 2006 through 12 March 2006

ER -

R-D optimized compression of 3-D mesh sequences based on principal component analysis

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