@inproceedings{Miau_Itti01embs,
  author = {F. Miau and L. Itti},
  title = {A Neural Model Combining Attentional Orienting to Object Recognition: Preliminary Explorations on the Interplay Between Where and What},
  year = {2001},
  month = {Oct},
  keywords = {Visual attention ; object recognition ; scene analysis ; bottom-up ; top-down},
  abstract = {We propose a model of primate vision that integrates both an attentional orienting (``where'') pathway and an object recognition (``what'') pathway. The fast visual attention front-end rapidly selects the few most conspicuous image locations, and the slower object recognition back-end identifies objects at the selected locations. The model is applied to classical visual search tasks, consisting of finding a specific target among an array of distracting visual patterns (e.g., a circle among many squares). The encouraging results obtained, in which substantial speedup is achieved by the combined attention-recognition model while maintaining good recognition performance compared to an exhaustive search, suggest that the biologically-inspired architecture proposed represents an efficient solution to the difficult problem of rapid scene analysis.},
  booktitle = {Proc. IEEE Engineering in Medicine and Biology Society (EMBS), Istanbul, Turkey},
  pages = {789-792},
  type = {bu;mod;cv},
  note = {Winner of the Excellence in Neural Engineering Travel Award},
  file = {http://iLab.usc.edu/publications/doc/Miau_Itti01embs.pdf},
  review = {full/conf},
}