@inproceedings{Dhavale_Itti03isspa,
  author = {N. Dhavale and L. Itti},
  title = {Saliency-Based Multi-Foveated MPEG Compression},
  abstract = {Most current foveation strategies are limited to foveating sequences based on a direct measurement or an implicit assumption of the gaze direction. Such approaches often fail in unconstrained environments or when necessary equipment is absent. Alternatively, a computational model of visual attention may be used to predict visually salient locations. We describe such a neurobiological model of attention and its specific application to foveated video compression. The algorithm is demonstrated to be successful in foveating to Regions Of human Interest in a variety of video segments, including synthetic as well as natural scenes, and also gives good compression ratios.},
  booktitle = {Proc. IEEE Seventh International Symposium on Signal Processing and its Applications, Paris, France},
  year = {2003},
  pages = {229-232},
  month = {Jul},
  type = {mod;bu;cv},
  file = {http://iLab.usc.edu/publications/doc/Dhavale_Itti03isspa.pdf},
  review = {full/conf}
}