Quality fine granular scalability video coding method for head shoulder sequence images

Li Zhuo, Lan Sun Shen, Kin Man Lam, Yan Hua Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Fine granular scalability (FGS) coding method has fine-grained scalable capability and can be adapted to dynamic variation of network bandwidth. So it is considered as a good coding scheme suitable for video transmission over network. But current MPEG-4 FGS coding standard is not efficient, which will restrict its application. Therefore, a quality fine granular scalable coding scheme for head shoulder sequence images, which are commonly seen in video applications, is implemented. The base layer is encoded with H.26 L and the residual signal between the original image and the reconstructed image from base layer is encoded with a DCT-based SPIHT coding method to achieve the enhancement layer bit stream. Automatic human face detection and tracing algorithm in a complex background is combined with selective enhancement technique to encode human face region with high priority. Experimental results show that the overall coding efficiency gain of this method is higher than that of MPEG-4 FGS standard and the bit stream is fine granular scalable. The subjective perceptual quality of reconstructed human face region can be selectively improved.
Original languageEnglish
Pages (from-to)441-445
Number of pages5
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume32
Issue number3
Publication statusPublished - 1 Mar 2004

Keywords

  • Fine granular scalability
  • H.26 L
  • Head shoulder sequence images
  • Selective enhancement
  • SPIHT algorithm

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cite this