Advanced search
1 file | 3.80 MB

Temporal video transcoding from H.264/AVC-to-SVC for digital TV broadcasting

(2016) TELECOMMUNICATION SYSTEMS. 61(1). p.21-41
Author
Organization
Abstract
Mobile digital TV environments demand flexible video compression like scalable video coding (SVC) because of varying bandwidths and devices. Since existing infrastructures highly rely on H.264/AVC video compression, network providers could adapt the current H.264/AVC encoded video to SVC. This adaptation needs to be done efficiently to reduce processing power and operational cost. This paper proposes two techniques to convert an H.264/AVC bitstream in Baseline (P-pictures based) and Main Profile (B-pictures based) without scalability to a scalable bitstream with temporal scalability as part of a framework for low-complexity video adaptation for digital TV broadcasting. Our approaches are based on accelerating the interprediction, focusing on reducing the coding complexity of mode decision and motion estimation tasks of the encoder stage by using information available after the H. 264/AVC decoding stage. The results show that when our techniques are applied, the complexity is reduced by 98 % while maintaining coding efficiency.
Keywords
Temporal scalability, ARCHITECTURES, Mobile digital TV, Videoadaptation, Data mining, H. 264/AVC, Scalable video coding (SVC)

Downloads

  • 2016 - R. Garrido-Cantos et al. - Temporal video transcoding from H.264-AVC-to-SVC for digital TV broadcasting.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 3.80 MB

Citation

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

Chicago
Garrido-Cantos, R, Jan De Cock, JL Martinez, Sebastiaan Van Leuven, P Cuenca, and A Garrido. 2016. “Temporal Video Transcoding from H.264/AVC-to-SVC for Digital TV Broadcasting.” Telecommunication Systems 61 (1): 21–41.
APA
Garrido-Cantos, R, De Cock, J., Martinez, J., Van Leuven, S., Cuenca, P., & Garrido, A. (2016). Temporal video transcoding from H.264/AVC-to-SVC for digital TV broadcasting. TELECOMMUNICATION SYSTEMS, 61(1), 21–41.
Vancouver
1.
Garrido-Cantos R, De Cock J, Martinez J, Van Leuven S, Cuenca P, Garrido A. Temporal video transcoding from H.264/AVC-to-SVC for digital TV broadcasting. TELECOMMUNICATION SYSTEMS. DORDRECHT: SPRINGER; 2016;61(1):21–41.
MLA
Garrido-Cantos, R, Jan De Cock, JL Martinez, et al. “Temporal Video Transcoding from H.264/AVC-to-SVC for Digital TV Broadcasting.” TELECOMMUNICATION SYSTEMS 61.1 (2016): 21–41. Print.
@article{7198832,
  abstract     = {Mobile digital TV environments demand flexible video compression like scalable video coding (SVC) because of varying bandwidths and devices. Since existing infrastructures highly rely on H.264/AVC video compression, network providers could adapt the current H.264/AVC encoded video to SVC. This adaptation needs to be done efficiently to reduce processing power and operational cost. This paper proposes two techniques to convert an H.264/AVC bitstream in Baseline (P-pictures based) and Main Profile (B-pictures based) without scalability to a scalable bitstream with temporal scalability as part of a framework for low-complexity video adaptation for digital TV broadcasting. Our approaches are based on accelerating the interprediction, focusing on reducing the coding complexity of mode decision and motion estimation tasks of the encoder stage by using information available after the H. 264/AVC decoding stage. The results show that when our techniques are applied, the complexity is reduced by 98 \% while maintaining coding efficiency.},
  author       = {Garrido-Cantos, R and De Cock, Jan and Martinez, JL and Van Leuven, Sebastiaan and Cuenca, P and Garrido, A},
  issn         = {1018-4864},
  journal      = {TELECOMMUNICATION SYSTEMS},
  language     = {eng},
  number       = {1},
  pages        = {21--41},
  publisher    = {SPRINGER},
  title        = {Temporal video transcoding from H.264/AVC-to-SVC for digital TV broadcasting},
  url          = {http://dx.doi.org/10.1007/s11235-014-9950-z},
  volume       = {61},
  year         = {2016},
}

Altmetric
View in Altmetric
Web of Science
Times cited: