DCT-domain coder for digital video applications

Evgeny Kaminsky, Alex Ginzburg, Ofer Hadar

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


In this paper, we present an effective DCT-domain video encoder architecture that decreases the computational complexity of conventional hybrid video encoders by reducing the number of transform operations between the pixel and the DCT domains. The fixed video encoder architecture (such as a fixed DCT block of 8 × 8 size) and a huge number of DCT/IDCT transforms performed during the video encoding process limit the minimum possible computational load of conventional video encoders. In this study, we solve this problem by developing a flexible video encoder architecture, which reduces video encoder computational complexity by performing low-resolution coarse-step motion estimation operations in the DCT domain. When a high level of motion activity is detected, the video encoder slightly increases the computational complexity of the motion estimation operation by computing fine-search block matching for a small-size search window in a reference frame. The proposed DCT-domain video encoder architecture is based on the conventional hybrid coder and on a set of fast integer composition and decomposition DCT transforms. The set of transforms implements a technique for estimation of DCT coefficients of a block that is partitioned by the sub-blocks. Experimental results of this method were compared with the results of the conventional hybrid coder in terms of PSNR quality and computational complexity. This comparison shows that the computational complexity of the proposed encoder is lower by 26. 8% with respect to the conventional hybrid video coder for the same objective PSNR quality.

Original languageEnglish
Pages (from-to)259-274
Number of pages16
JournalJournal of Real-Time Image Processing
Issue number4
StatePublished - 1 Dec 2010


  • Complexity reduction
  • Computational complexity
  • DCT-domain motion estimation
  • DCT-domain video encoder
  • Discrete cosine transform (DCT)
  • MPEG-2
  • Video compression

ASJC Scopus subject areas

  • Information Systems


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