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 language | English |
|---|---|
| Pages (from-to) | 441-445 |
| Number of pages | 5 |
| Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
| Volume | 32 |
| Issue number | 3 |
| Publication status | Published - 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