Neural networks for intelligent multimedia processing

Multimedia technologies represent new ground for research interactions among a variety of media such as speech, audio, image, video, text, and graphics. Future multimedia technologies will need to handle information a with an increasing level of intelligence, i.e., automatic recognition and interpretation of multimodal signals. The main attribute of neural processing is its adaptive learning capability, which enables machines to be taught to interpret possible variations of a same object or pattern, e.g. scale, orientation, and perspective. Moreover, we are able to accurately approximate unknown systems based on sparse sets of noisy data. In addition, spatial/temporal neural structures and hierarchical models are promising for multirate, multiresolution multimedia processing.