Constrained Image Understanding Using Lossy Compressed Images

The Network-Centric Applied Research Team (N-CART) introduces a distributed model for constrained image recognition using lossy compressed images. The recognition engine resides on a network node apart from where the images are taken. We have found that by employing such a model, the cost and complexity of the system can be reduced while also allowing the flexibility of the recognition services to be used by different devices.

Proc. of the IASTED International Conference for Robotics and Applications (RA’01), Clearwater, Florida, USA November 19-22, 2001

Constrained Image Understanding Using Lossy Compressed Images