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A content-adaptive scheme for reduced-complexity, multi-view video coding

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Abstract
Disparity estimation is a highly complex and time consuming process in multi-view video encoders. Since multiple views taken from a 2D camerea array need to be coded at every time instance, the complexity of the encoder plays an important role besides its rate-distortion performance. In previous papers we have introduced a new frame type called D frame that exploits the stron geometrical correspondence between views, thereby reducing the complexity of the encoder. By employing D frames instead of some of the P frames in the prediction structure, significant compexity gain can be achieved if the trhreshold value which is a keystone element to adjust the complexity at the cost of quality and/or bit-rate is selected wisely. In this work, a new adaptive method to calculate the threshold value automatically from existing information during the encoding process is presented. In this method, the threshold values are generated for each block of each D frame to increase the accuracy. The algorithm is applied to several image sets and 20.6% complexity gain is achieved using the automatically generated threshold values without compromising qaulity or bit-rate.
Keywords
disparity estimation, 3-D video, camera array, prediction scheme, multi-view, video coding

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MLA
Avci, Aykut, Jan De Cock, Jelle De Smet, et al. “A Content-adaptive Scheme for Reduced-complexity, Multi-view Video Coding.” Proceedings of SPIE, the International Society for Optical Engineering. Ed. Atilla M Baskurt & Robert Sitnik. Vol. 8290. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2012. Print.
APA
Avci, Aykut, De Cock, J., De Smet, J., Meuret, Y., Lambert, P., & De Smet, H. (2012). A content-adaptive scheme for reduced-complexity, multi-view video coding. In A. M. Baskurt & R. Sitnik (Eds.), Proceedings of SPIE, the International Society for Optical Engineering (Vol. 8290). Presented at the Conference on Three-Dimensional Image Processing (3DIP) and Applications II, Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Chicago author-date
Avci, Aykut, Jan De Cock, Jelle De Smet, Youri Meuret, Peter Lambert, and Herbert De Smet. 2012. “A Content-adaptive Scheme for Reduced-complexity, Multi-view Video Coding.” In Proceedings of SPIE, the International Society for Optical Engineering, ed. Atilla M Baskurt and Robert Sitnik. Vol. 8290. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Chicago author-date (all authors)
Avci, Aykut, Jan De Cock, Jelle De Smet, Youri Meuret, Peter Lambert, and Herbert De Smet. 2012. “A Content-adaptive Scheme for Reduced-complexity, Multi-view Video Coding.” In Proceedings of SPIE, the International Society for Optical Engineering, ed. Atilla M Baskurt and Robert Sitnik. Vol. 8290. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Vancouver
1.
Avci A, De Cock J, De Smet J, Meuret Y, Lambert P, De Smet H. A content-adaptive scheme for reduced-complexity, multi-view video coding. In: Baskurt AM, Sitnik R, editors. Proceedings of SPIE, the International Society for Optical Engineering. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2012.
IEEE
[1]
A. Avci, J. De Cock, J. De Smet, Y. Meuret, P. Lambert, and H. De Smet, “A content-adaptive scheme for reduced-complexity, multi-view video coding,” in Proceedings of SPIE, the International Society for Optical Engineering, Burlingame, CA, USA, 2012, vol. 8290.
@inproceedings{2048020,
  abstract     = {Disparity estimation is a highly complex and time consuming process in multi-view video encoders. Since multiple views taken from a 2D camerea array need to be coded at every time instance, the complexity of the encoder plays an important role besides its rate-distortion performance. In previous papers we have introduced a new frame type called D frame that exploits the stron geometrical correspondence between views, thereby reducing the complexity of the encoder. By employing D frames instead of some of the P frames in the prediction structure, significant compexity gain can be achieved if the trhreshold value which is a keystone element to adjust the complexity at the cost of quality and/or bit-rate is selected wisely. In this work, a new adaptive method to calculate the threshold value automatically from existing information during the encoding process is presented. In this method, the threshold values are generated for each block of each D frame to increase the accuracy. The algorithm is applied to several image sets and 20.6% complexity gain is achieved using the automatically generated threshold values without compromising qaulity or bit-rate.},
  articleno    = {829014},
  author       = {Avci, Aykut and De Cock, Jan and De Smet, Jelle and Meuret, Youri and Lambert, Peter and De Smet, Herbert},
  booktitle    = {Proceedings of SPIE, the International Society for Optical Engineering},
  editor       = {Baskurt, Atilla M and Sitnik, Robert},
  isbn         = {9780819489548},
  issn         = {0277-786X},
  keywords     = {disparity estimation,3-D video,camera array,prediction scheme,multi-view,video coding},
  language     = {eng},
  location     = {Burlingame, CA, USA},
  pages        = {6},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {A content-adaptive scheme for reduced-complexity, multi-view video coding},
  url          = {http://dx.doi.org/10.1117/12.912099},
  volume       = {8290},
  year         = {2012},
}

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