Multicore-based 3D-DWT video encoder

نویسندگان

  • Vicente Galiano Ibarra
  • Otoniel López
  • Manuel P. Malumbres
  • Héctor Migallón Gomis
چکیده

Three-dimensional wavelet transform (3D-DWT) encoders are good candidates for applications like professional video editing, video surveillance, multi-spectral satellite imaging, etc. where a frame must be reconstructed as quickly as possible. In this paper, we present a new 3D-DWT video encoder based on a fast run-length coding engine. Furthermore, we present several multicore optimizations to speed-up the 3D-DWT computation. An exhaustive evaluation of the proposed encoder (3D-GOP-RL) has been performed, and we have compared the evaluation results with other video encoders in terms of rate/distortion (R/D), coding/decoding delay, and memory consumption. Results show that the proposed encoder obtains good R/D results for high-resolution video sequences with nearly in-place computation using only the memory needed to store a group of pictures. After applying the multicore optimization strategies over the 3D DWT, the proposed encoder is able to compress a full high-definition video sequence in real-time.

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عنوان ژورنال:
  • EURASIP J. Adv. Sig. Proc.

دوره 2013  شماره 

صفحات  -

تاریخ انتشار 2013