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Scalable wavelet-based coding of irregular meshes with interactive region-of-interest support

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Abstract
This paper proposes a novel functionality in wavelet-based irregular mesh coding, which is interactive region-of-interest (ROI) support. The proposed approach enables the user to define the arbitrary ROIs at the decoder side and to prioritize and decode these regions at arbitrarily high-granularity levels. In this context, a novel adaptive wavelet transform for irregular meshes is proposed, which enables: 1) varying the resolution across the surface at arbitrarily fine-granularity levels and 2) dynamic tiling, which adapts the tile sizes to the local sampling densities at each resolution level. The proposed tiling approach enables a rate-distortion-optimal distribution of rate across spatial regions. When limiting the highest resolution ROI to the visible regions, the fine granularity of the proposed adaptive wavelet transform reduces the required amount of graphics memory by up to 50%. Furthermore, the required graphics memory for an arbitrary small ROI becomes negligible compared to rendering without ROI support, independent of any tiling decisions. Random access is provided by a novel dynamic tiling approach, which proves to be particularly beneficial for large models of over 10(6) similar to 10(7) vertices. The experiments show that the dynamic tiling introduces a limited lossless rate penalty compared to an equivalent codec without ROI support. Additionally, rate savings up to 85% are observed while decoding ROIs of tens of thousands of vertices.
Keywords
PROGRESSIVE COMPRESSION, TRANSMISSION, Irregular mesh coding, region-of-interest coding, wavelet coding, random, access

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Citation

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MLA
Khalil, Jonas El Sayeh, Adrian Munteanu, and Peter Lambert. “Scalable Wavelet-based Coding of Irregular Meshes with Interactive Region-of-interest Support.” IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 29.7 (2019): 2067–2081. Print.
APA
Khalil, J. E. S., Munteanu, A., & Lambert, P. (2019). Scalable wavelet-based coding of irregular meshes with interactive region-of-interest support. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 29(7), 2067–2081.
Chicago author-date
Khalil, Jonas El Sayeh, Adrian Munteanu, and Peter Lambert. 2019. “Scalable Wavelet-based Coding of Irregular Meshes with Interactive Region-of-interest Support.” Ieee Transactions on Circuits and Systems for Video Technology 29 (7): 2067–2081.
Chicago author-date (all authors)
Khalil, Jonas El Sayeh, Adrian Munteanu, and Peter Lambert. 2019. “Scalable Wavelet-based Coding of Irregular Meshes with Interactive Region-of-interest Support.” Ieee Transactions on Circuits and Systems for Video Technology 29 (7): 2067–2081.
Vancouver
1.
Khalil JES, Munteanu A, Lambert P. Scalable wavelet-based coding of irregular meshes with interactive region-of-interest support. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. Piscataway: Ieee-inst Electrical Electronics Engineers Inc; 2019;29(7):2067–81.
IEEE
[1]
J. E. S. Khalil, A. Munteanu, and P. Lambert, “Scalable wavelet-based coding of irregular meshes with interactive region-of-interest support,” IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, vol. 29, no. 7, pp. 2067–2081, 2019.
@article{8623417,
  abstract     = {This paper proposes a novel functionality in wavelet-based irregular mesh coding, which is interactive region-of-interest (ROI) support. The proposed approach enables the user to define the arbitrary ROIs at the decoder side and to prioritize and decode these regions at arbitrarily high-granularity levels. In this context, a novel adaptive wavelet transform for irregular meshes is proposed, which enables: 1) varying the resolution across the surface at arbitrarily fine-granularity levels and 2) dynamic tiling, which adapts the tile sizes to the local sampling densities at each resolution level. The proposed tiling approach enables a rate-distortion-optimal distribution of rate across spatial regions. When limiting the highest resolution ROI to the visible regions, the fine granularity of the proposed adaptive wavelet transform reduces the required amount of graphics memory by up to 50%. Furthermore, the required graphics memory for an arbitrary small ROI becomes negligible compared to rendering without ROI support, independent of any tiling decisions. Random access is provided by a novel dynamic tiling approach, which proves to be particularly beneficial for large models of over 10(6) similar to 10(7) vertices. The experiments show that the dynamic tiling introduces a limited lossless rate penalty compared to an equivalent codec without ROI support. Additionally, rate savings up to 85% are observed while decoding ROIs of tens of thousands of vertices.},
  author       = {Khalil, Jonas El Sayeh and Munteanu, Adrian and Lambert, Peter},
  issn         = {1051-8215},
  journal      = {IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY},
  keywords     = {PROGRESSIVE COMPRESSION,TRANSMISSION,Irregular mesh coding,region-of-interest coding,wavelet coding,random,access},
  language     = {eng},
  number       = {7},
  pages        = {2067--2081},
  publisher    = {Ieee-inst Electrical Electronics Engineers Inc},
  title        = {Scalable wavelet-based coding of irregular meshes with interactive region-of-interest support},
  url          = {http://dx.doi.org/10.1109/TCSVT.2018.2860525},
  volume       = {29},
  year         = {2019},
}

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