The paper investigates the novel concept of local-error control in mesh geometry encoding. In contrast to traditional mesh-coding systems that use the mean-square error as target distortion metric, this paper proposes...
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The paper investigates the novel concept of local-error control in mesh geometry encoding. In contrast to traditional mesh-coding systems that use the mean-square error as target distortion metric, this paper proposes a new l-infinite mesh-coding approach, for which the target distortion metric is the l-infinite distortion. In this context, a novel wavelet-based l-infinite-constrained coding approach for meshes is proposed, which ensures that the maximum error between the vertex positions in the original and decoded meshes is lower than a given upper bound. Furthermore, the proposed system achieves scalability in l-infinite sense, that is, any decoding of the input stream will correspond to a perfectly predictable l-infinite distortion upper bound. An instantiation of the proposed l-infinite-coding approach is demonstrated for MESHGRID, which is a scalable 3D object encoding system, part of MPEG-4 AFX. In this context, the advantages of scalable l-infinite coding over l-2-oriented coding are experimentally demonstrated. One concludes that the proposed l-infinite mesh-coding approach guarantees an upper bound on the local error in the decoded mesh, it enables a fast real-time implementation of the rate allocation, and it preserves all the scalability features and animation capabilities of the employed scalable mesh codec.
Subdivision-based wavelet coding techniques yield state-of-the-art performance in scalable compression of semi-regular meshes. However, all these codecs make use of the l-2 distortion metric, which gives only a good a...
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ISBN:
(纸本)9781467310680
Subdivision-based wavelet coding techniques yield state-of-the-art performance in scalable compression of semi-regular meshes. However, all these codecs make use of the l-2 distortion metric, which gives only a good approximation of the global error produced by lossy coding of the wavelet coefficients. The l-infinite metric has been proven to be a suitable metric for applications where controlling the local, maximum error on each vertex is of critical importance. In this context, an upper bound formulation for the l-infinite distortion for a wavelet-based coding scheme operating on semi-regular meshes is derived. In addition, we propose a rate-distortion optimization algorithm that minimizes the rate for any target l-infinite distortion. It is shown that our l-infinite coding system outperforms the state-of-the-art and that an l-2 driven coding approach for semi-regular meshes loses ground to its l-infinite driven version when the goal is to have a tight control on the local reconstruction error.
This paper proposes a new approach for joint source and channelcoding (JSCC) of meshes, simultaneously providing scalability and optimized resilience against transmission errors. An unequal error protection approach ...
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This paper proposes a new approach for joint source and channelcoding (JSCC) of meshes, simultaneously providing scalability and optimized resilience against transmission errors. An unequal error protection approach is followed, to cope with the different error-sensitivity levels characterizing the various resolution and quality layers produced by the input scalable source codec. The number of layers and the protection levels to be employed for each layer are determined by solving a joint source and channelcoding problem. In this context, a novel fast algorithm for solving the optimization problem is conceived, enabling a real-time implementation of the JSCC rate-a I location. An instantiation of the proposed JSCC approach is demonstrated for MeshGrid, which is a scalable 3-D object representation method, part of MPEG-4 AFX. In this context, the l-infinite distortion metric is employed, which is to our knowledge a unique feature in mesh coding. Numerical results show the superiority of the l-infinite norm over the classicall-2 norm in a JSCC setting. One concludes that the proposed joint source and channelcoding approach offers resilience against transmission errors, provides graceful degradation, enables a fast real-time implementation, and preserves all the scalability features and animation capabilities of the employed scalable mesh codec.
The heterogeneous nature of modem communications stems from the need of transmitting digital information through various types of mediums to a large variety of end-user terminals. In this context, simultaneously provi...
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ISBN:
(纸本)9780819464811
The heterogeneous nature of modem communications stems from the need of transmitting digital information through various types of mediums to a large variety of end-user terminals. In this context, simultaneously providing a scalable source representation and resilience against transmission errors is of primary importance. MESHGRID, which is part of the MPEG-4 AFX standard, is a scalable 3D object representation method especially designed to address the heterogeneous nature of networks and clients in modem communication systems. A MESHGRID object comprises one or several surface layers attached to and located within a volumetric reference-grid. In this paper we focus on the error-resilience aspects of MESHGRID and propose a novel approach for scalable error-resilient coding of MESHGRID'S reference-grid. An unequal error protection approach is followed, to acquaint for the different effor-sensitivity levels characterizing the various resolution and quality layers produced by the reference-grid coder. The code rates to be employed for each layer are determined by solving a joint source and channelcoding problem. The l-infinite distortion metric is employed instead of the classicall-2 norm, typically used in case of images and video. In this context, a novel fast algorithm for solving the optimization problem is proposed. The proposed approach allows for real-time implementations. The experimental results demonstrate the benefits brought by error resilient coding of the reference grid. We conclude that the proposed approach offers resilience against transmission errors while preserving all the scalability features and animation capabilities that characterize MESHGRID.
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