Research directions
 
  • Motion-compensated video compression using wavelet transform
  • As we know, the discrete cosine transform (DCT) is widely used in H.261, H.263, MPEG and JPEG. In the high bit-rate environment, it has successful performance, while in low bit-rate, the performace drops greatly due to the :"blocking effect". The discrete wavelet transform (DWT), however, is free from the blocking artifacts due to the nature of its global decomposition. The wavelet representation provides a multiresolution/multiscale expression of a signal with localization in both time and frequency. Therefore, compared with the DCT, the wavelet representation is more flexible and can be easily adapted to the nature of human visual system.
     
  • This work has been accepted by SPIE Visual Communication and Image Processing, 2004.
  • Scalable Video Transmission
  • Video Streaming over Diffrentiated Services Networks (DiffServ)
  • Joint Source and Channel Coding for Internet Video Transmission
  • Energy-Efficient Wireless Video Communications
  •  Last updated: March 05, 2004