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Abstract
Content providers create different versions of a video to accommodate different end-user devices and network conditions. However, each of these versions requires a resource intensive encoding process. To reduce the computational complexity of the encodings, this paper proposes a fast simultaneous encoder. This encoder takes a single video as input and creates a number of bit streams encoded with different parameters. Only one version of the video is created with a full encode, whereas encoding of the other versions is accelerated by exploiting the correlation with the fully encoded version using machine learning techniques. In a practical scenario, the fast simultaneous encoder achieves a complexity reduction of 67.3% with a bit rate increase of 5.2% compared to performing a full encode of each version.
Keywords
SVC, ALGORITHM, H.264/AVC, TRANSCODER, STANDARD, HEVC

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Citation

Please use this url to cite or link to this publication:

Chicago
De Praeter, Johan, AJ Diaz-Honrubia, Niels Van Kets, Glenn Van Wallendael, Jan De Cock, Peter Lambert, and Rik Van de Walle. 2015. “Fast Simultaneous Video Encoder for Adaptive Streaming.” In 2015 IEEE 17TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP). NEW YORK: IEEE.
APA
De Praeter, J., Diaz-Honrubia, A., Van Kets, N., Van Wallendael, G., De Cock, J., Lambert, P., & Van de Walle, R. (2015). Fast simultaneous video encoder for adaptive streaming. 2015 IEEE 17TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP). Presented at the IEEE 17th International Workshop on Multimedia Signal Processing (MMSP 2015), NEW YORK: IEEE.
Vancouver
1.
De Praeter J, Diaz-Honrubia A, Van Kets N, Van Wallendael G, De Cock J, Lambert P, et al. Fast simultaneous video encoder for adaptive streaming. 2015 IEEE 17TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP). NEW YORK: IEEE; 2015.
MLA
De Praeter, Johan, AJ Diaz-Honrubia, Niels Van Kets, et al. “Fast Simultaneous Video Encoder for Adaptive Streaming.” 2015 IEEE 17TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP). NEW YORK: IEEE, 2015. Print.
@inproceedings{8055551,
  abstract     = {Content providers create different versions of a video to accommodate different end-user devices and network conditions. However, each of these versions requires a resource intensive encoding process. To reduce the computational complexity of the encodings, this paper proposes a fast simultaneous encoder. This encoder takes a single video as input and creates a number of bit streams encoded with different parameters. Only one version of the video is created with a full encode, whereas encoding of the other versions is accelerated by exploiting the correlation with the fully encoded version using machine learning techniques. In a practical scenario, the fast simultaneous encoder achieves a complexity reduction of 67.3\% with a bit rate increase of 5.2\% compared to performing a full encode of each version.},
  author       = {De Praeter, Johan and Diaz-Honrubia, AJ and Van Kets, Niels and Van Wallendael, Glenn and De Cock, Jan and Lambert, Peter and Van de Walle, Rik},
  booktitle    = {2015 IEEE 17TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP)},
  isbn         = {978-1-4673-7478-1},
  language     = {eng},
  location     = {Xiamen, PEOPLES R CHINA},
  pages        = {6},
  publisher    = {IEEE},
  title        = {Fast simultaneous video encoder for adaptive streaming},
  year         = {2015},
}

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