An attention emphasized bit arrangement in 3-D SPIHT video coding for human vision

Kuan Hui Lee, Pau Choo Chung

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


In recent years, Set Partitioning in Hierarchical Trees (SPIHT) algorithm has performed efficiently on image and video coding. However, in low bit rate situations, on the whole the videos usually have relatively low visual quality while attention is paid on the videos. To improve the problem, this paper proposes Attention Emphasis bit arrangement in 3-D SPIHT video coding algorithm (AE-SPIHT) to rearrange bits efficiently from eye-insensitive regions to eye-sensitive regions, so that the whole video can obtain a better visual condition. AE-SPIHT properly exploits a bit-arrangement method rearranging bits foveately from eye-insensitive regions, according to texture content and bit-rate, to eye-sensitive ones. Experiments show that AE-SPIHT algorithm improves the visual quality of attention regions in conventional 3-D SPIHT in most cases. Compared with other bit arrangement methods, the proposed method also achieves a better visual condition in arranging the bits.

Original languageEnglish
Pages (from-to)255-269
Number of pages15
JournalJournal of Visual Communication and Image Representation
Issue number3
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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