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Wireless Video Communications


Layered video compression encodes a video sequence into multiple layers, which enables us to progressively refine the reconstructed video quality at the receiver, when the network’s throughput allows this. Generally, the most important layer is referred to as the base layer (BL) and the less important layers are termed as enhancement layers (ELs), which rely on the BL. Furthermore, an EL may be further relied upon by less important ELs. Again, when the BL or an EL is lost or corrupted during its transmission, the dependent layers cannot be utilized by the decoder and must be dropped.
Given only the BL L0 having a bitrate of 128 kbits per second (kbps), the corresponding layered video decoder of Fig. 1 reconstructs the video with a resolution of quarter common intermediate format (QCIF) at 7.5 FPS. By contrast, a common intermediate format (CIF) based video sequence scanned at 30 FPS can be reconstructed with the aid of layers L0 , L1 and L2 , which require bitrates of 128 kbps, 256 kbps and 512 kbps, respectively. If the TV screen of Fig. 1 is utilized by the user, all four layers L0 ∼ L3 may also be streamed for achieving the highest video quality. In practice, the different video streaming scenarios of Fig. 1 require different bandwidth and hence achieve different visual quality. The users may rely on different video screens, such as those of mobile phones, tablet PCs, PC and TV screen, as seen in Fig. 1 for example.

Research Demos

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Journal Publications

  • Zhu, C.; Huo, Y.; Zhang, B.; Zhang, R.; El-Hajjar, M.; Hanzo, L., "Adaptive Truncated HARQ Aided Layered Video Streaming Relying On Inter-Layer FEC Coding," in Vehicular Technology, IEEE Transactions on , vol.PP, no.99, pp.1-1
    Paper, Demo
  • Y. Huo, C. Hellge, T. Wiegand, and L. Hanzo, “A tutorial and review on inter-layer FEC coded layered video streaming”, IEEE Communications Surveys and Tutorials, vol. 17, pp. 1166–1207, 2ed quarter 2015.
    Paper, Demo
  • Y. Huo, M. El-Hajjar, and L. Hanzo, “Wireless video: An interlayer error-protection-aided multilayer approach,” IEEE Vehicular Technology Magazine, vol. 9, pp. 104–112, September 2014.
    Paper, Demo
  • Y. Huo, T. Wang, R. G. Maunder, and L. Hanzo, “Motion-aware mesh-structured trellis for correlation modelling aided distributed multi-view video coding,” IEEE Transactions on Image Processing, vol. 23, no. 1, pp. 319–331, 2014.
    Paper, Demo
  • Y. Huo, T. Wang, R. G. Maunder, and L. Hanzo, “Two-dimensional iterative source-channel decoding for distributed video coding,” IEEE Communications Letters, vol. 18, no. 1, pp. 90–93, 2014.
    Paper, Demo
  • Y. Huo, M. El-Hajjar, and L. Hanzo, “Layered wireless video telephony relying on minimum distortion inter-layer FEC coding,” IEEE Transactions on Multimedia, vol. 23, pp. 319–331, January 2014.
    Paper, Demo
  • Y. Huo, M. El-Hajjar, and L. Hanzo, “Inter-layer FEC aided unequal error protection for multi-layer video transmission in mobile TV,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 9, pp. 1622–1634, September 2013.
    Paper, Demo
  • Y. Huo, T. Wang, R. G. Maunder, and L. Hanzo, “Iterative source and channel decoding relying on correlation modelling for wireless video transmission,” IET Communications, vol. 7, pp. 1465–1475, September 2013.
    Paper, Demo
  • Y. Huo, C. Zhu, and L. Hanzo, “Spatio-temporal iterative source-channel decoding aided video transmission,” IEEE Transactions on Vehicular Technology, vol. 62, pp. 1597–1609, May 2013.
    Paper, Demo

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