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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 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 mobile digital TV. 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
H.264/AVC, ARCHITECTURES, Mobile Digital TV, Video Adaptation, Data Mining, H.264/AVC, Scalable Video Coding (SVC), Temporal Scalability

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Citation

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

Chicago
Garrido - Cantos, Rosario, José-Luis Martnez, Pedro Cuenca, Antonio Garrido, Jan De Cock, Sebastiaan Van Leuven, and Rik Van de Walle. 2012. “Temporal Video Transcoding for Digital TV Broadcasting.” In Joint IFIP Wireless and Mobile Networking Conference, ed. T Kovacik and I Kovacik, 95–100. IEEE.
APA
Garrido - Cantos, R., Martnez, J.-L., Cuenca, P., Garrido, A., De Cock, J., Van Leuven, S., & Van de Walle, R. (2012). Temporal video transcoding for digital TV broadcasting. In T. Kovacik & I. Kovacik (Eds.), Joint IFIP Wireless and Mobile Networking Conference (pp. 95–100). Presented at the 5th Joint IFIP Wireless and Mobile Networking Conference (WMNC), IEEE.
Vancouver
1.
Garrido - Cantos R, Martnez J-L, Cuenca P, Garrido A, De Cock J, Van Leuven S, et al. Temporal video transcoding for digital TV broadcasting. In: Kovacik T, Kovacik I, editors. Joint IFIP Wireless and Mobile Networking Conference. IEEE; 2012. p. 95–100.
MLA
Garrido - Cantos, Rosario, José-Luis Martnez, Pedro Cuenca, et al. “Temporal Video Transcoding for Digital TV Broadcasting.” Joint IFIP Wireless and Mobile Networking Conference. Ed. T Kovacik & I Kovacik. IEEE, 2012. 95–100. Print.
@inproceedings{5732118,
  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 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 mobile digital TV. 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, Rosario and Martnez, Jos{\'e}-Luis and Cuenca, Pedro and Garrido, Antonio and De Cock, Jan and Van Leuven, Sebastiaan and Van de Walle, Rik},
  booktitle    = {Joint IFIP Wireless and Mobile Networking Conference},
  editor       = {Kovacik, T and Kovacik, I },
  isbn         = {9781467329941},
  issn         = {2163-4033},
  language     = {eng},
  location     = {Bratislava, Slovakia},
  pages        = {95--100},
  publisher    = {IEEE},
  title        = {Temporal video transcoding for digital TV broadcasting},
  url          = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6416142},
  year         = {2012},
}

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