Michel BARLAUD - research
Professor Michel BARLAUD

RESEARCH



  • Image and video coding
    • Wavelet Transform 2D (IEEE IP 1992).
    • Lattice Vector Quantization
    • t+2D Motion Compensated Temporal Lifting Transform
    • Optimal Model Based Bit allocation EBWIC
    • Optimal Decoding (IEEE MMA 2003).
    • Entropy-based distortion measure and bit allocation for wavelet image compression (IEEE IP 2007).
  • Inverse problems
    • Half Quadratic Regularization (IEEE IP 1997).
    • 3D Reconstruction
    • Deconvolution and image denoising
  • Image and video Analysis
    • Region Based Segmentation and Motion Estimation using Shape Gradient Method (IJCV 2003).
    • Segmentation uing shape Priors (IEEE CSVT 2003)
    • Parametric Active Contours Segmentation using "Smoothing Bsplines" (IEEE IP 2004)
    • Segmentation and motion estimation using non parametric models
    • Object tracking (IEEE CVPR 2007).
  • Learning for Computer Vision
    • Content-based Image Retrieval (CBMI 2008)
    • Image Categorization (MMM 2009)
    • Multiclass Boosting
    • Leveraged kNN
    • Computing kNN using GPU (CVPR 2008)