Skip to content

Stanford University

Invited Talks

  1. Adaptive distributed source coding, University of Toronto Networking Seminar Series, Toronto, Canada, April 2010.
  2. Learning motion in distributed video coding, DISCOVER Workshop on Recent Advances in Distributed Video Coding, Lisbon, Portugal, November 2007.
  3. Rate-adaptive distributed source coding using low-density parity-check codes, Max Planck Center for Visual Computing and Communication Workshop, Saarbruecken, Germany, November 2005.

Class Projects

  1. A. Mavlankar and D. Varodayan, Region-of-interest prediction for interactively streaming regions of high resolution video, EE329J - Digital Video Processing, Stanford University, March 2007.
  2. D. Varodayan and K. Ghosh, Visual code marker detection, EE368 - Digital Image Processing, Stanford University, June 2006.
  3. D. Varodayan and A. Mavlankar, Distributed compression of stereoscopic images with unsupervised learning of disparity, CS229 - Machine Learning, Stanford University, December 2005.
  4. D. Varodayan, Foveated video broadcast, PSYCH221 - Applied Vision and Image Systems, Stanford University, March 2005.
  5. D. Varodayan, Wyner-Ziv coding of still images with rate estimation at the encoder, EE398B - Image Communication II, Stanford University, June 2004.