Effective quantisation scheme for principal components of 3-D mesh sequences

Heu, Jun-Hee; Yang, Jianyong; Lee, S. U.

doi:10.1049/el:20060869

Cited by 4 publications

(11 citation statements)

References 5 publications

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“…In this way, a 3-D mesh sequence can be encoded more compactly. Finally, Heu et al [14] developed an R-D model for basis vectors, and derived that the optimal quantizer step size for a basis vector is inversely proportional to the corresponding singular value. Based on the R-D model and the derivation, they proposed an adaptive bit allocation scheme to improve compression performance.…”

Section: Conventional Mesh Sequence Codersmentioning

confidence: 99%

“…Based on the R-D model and the derivation, they proposed an adaptive bit allocation scheme to improve compression performance. However, all these SVD-based mesh sequence coders [11][12][13][14] support non-scalable transmission only.…”

Section: Conventional Mesh Sequence Codersmentioning

confidence: 99%

“…Moreover, to improve compression performance further, we develop a temporal prediction mode, which also supports temporal scalability. Simulation results demonstrate that the proposed algorithm provides much better R-D performance than the conventional algorithms in [12,14].…”

Section: Introductionmentioning

confidence: 98%

“…For example, wavelet-based approaches have been developed for scalable coding of mesh sequences [7][8][9][10]. Also, there are a few mesh sequence coders based on singular value decomposition (SVD) [11][12][13][14], but they do not support scalability.…”

Section: Introductionmentioning

confidence: 99%

“…In an isomorphic sequence [15], all frames have the same number of vertices and the same connectivity. In contrast to the conventional SVD-based mesh sequence coders [11][12][13][14], the proposed algorithm supports SNR and temporal scalability modes. After SVD, we represent basis vectors with bit planes.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

SNR and temporal scalable coding of 3-D mesh sequences using singular value decomposition

Heu

Lee

2009

Journal of Visual Communication and Image Representation

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Section: Conventional Mesh Sequence Codersmentioning

confidence: 99%

Section: Conventional Mesh Sequence Codersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

SNR and temporal scalable coding of 3-D mesh sequences using singular value decomposition

Heu

Lee

2009

Journal of Visual Communication and Image Representation

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Rate‐distortion optimized compression of motion capture data

Váša

Brunnett

2014

Computer Graphics Forum

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Lossy compression of motion capture data can alleviate the problems of efficient storage and transmission by exploiting the redundancy and the superfluous precision of the data. When considering the acceptable amount of distortion, perceptual issues have to be taken into account. Current state of the art methods reduce the data rate required for high quality storage of motion capture data using various techniques. Most of them, however, do not use the common tools of general data compression, such as the method of Lagrange multipliers, and thus they obtain sub-optimal results, making it difficult to do a fair comparison of their performance. In this paper, we present a general preprocessing step based on Lagrange multipliers, which allows to rigorously adjust the precision in each of the degrees of freedom of the input data according to the amount of influence the given degree of freedom has on the overall distortion. We then present a simple compression method based on Principal Component Analysis, which in combination with the proposed preprocessing achieves significantly better results than current state of the art methods. It allows optimization with respect to various distortion metrics, and we discuss the choice of the metric in two common but distinct scenarios, proposing a perceptually oriented comparison metric based on the relation of the problem at hand to the problem of compression of dynamic meshes.

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COBRA: Compression of the Basis for PCA Represented Animations

Váša

Skala

2009

Computer Graphics Forum

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In this paper, we present an extension of dynamic mesh compression techniques based on PCA. Such representation allows very compact representation of moving 3D surfaces; however, it requires some side information to be transmitted along with the main data. The biggest part of this information is the PCA basis, and since the data can be encoded very efficiently, the size of the basis cannot be neglected when considering the overall performance of a compression algorithm.We present a new work in this area, as none of the papers about PCA based compression really addresses this issue. We will show that for an efficient and accurate encoding there are better choices than even sophisticated algorithms such as LPC.We will present results showing that our approach can reduce the size of the basis by 90% with respect to direct encoding, which can lead to approximately 25% increase of performance of the compression algorithm without any significant loss of accuracy. Such improvement moves the performance of the PCA encoder beyond the performance of current state of the art dynamic mesh compression algorithms, such as the recently adopted MPEG standard, FAMC.

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Effective quantisation scheme for principal components of 3-D mesh sequences

Cited by 4 publications

References 5 publications

SNR and temporal scalable coding of 3-D mesh sequences using singular value decomposition

SNR and temporal scalable coding of 3-D mesh sequences using singular value decomposition

Rate‐distortion optimized compression of motion capture data

COBRA: Compression of the Basis for PCA Represented Animations

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