Complexity Modeling of Spatial and Temporal Compensations in H.264/AVC Decoding

  • Authors:

  • Szu-Wei Lee;C. -C.J. Kuo

  • Affiliations:

  • Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA;-

  • Venue:
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Year:
  • 2010

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Abstract

H.264/advanced video coding (AVC) decoding complexity modeling and applications are examined in this paper. We focus on complex modeling of spatial and temporal compensations achieved by a rich set of inter and intra-prediction modes of H.264/AVC. We study the relationship between motion vectors (MV), frame sizes, and distributions of selected reference frames, which are highly related to cache management efficiency and, thus, the decoding complexity. An H.264/AVC encoder equipped with the complexity models can choose the best inter or intra-prediction mode and the best MV or intra-prediction direction while meeting the decoding complexity constraint of the target receiver platform. The proposed complexity models are accurate. The application of complexity models to the H.264/AVC decoding complexity reduction is demonstrated.