Philippe Raffy

Learn More
We propose an object-tracking algorithm that predicts the object contour using motion vector information. Tracking is achieved by predicting the object boundary using motion vectors, followed by contour update, using occlusions/disocclusion detection. An adaptive block-based approach has been used for estimating motion between frames. An efficient(More)
We propose a multiresolution algorithm to jointly optimize a source coder and channel coder. The variable-rate source coder combines an optimal bit-allocation strategy and efficient stack-run coding. This compression scheme, concatenated with appropriate rate-compatible punctured convolutional codes, provides a competitive approach to state-of-the-art(More)
The increasing demand for real-time applications requires the use of variable-rate quantizers having good performance in the low bit rate domain. In order to minimize the complexity of quantization, as well as maintaining a reasonably high PSNR ratio, we propose to use an entropy-coded lattice vector quantizer (ECLVQ). These quantizers have proven to(More)
A tracking algorithm that predicts the object contour using motion vector information is proposed in this paper. Tracking is achieved by predicting the object boundary using motion vectors, followed by contour update, using occlusionsldisocclusion detection. An adaptive block-based approach has been used for estimating motion between frames. An efficient(More)
  • 1