We aim to integrate text, video and picture analysis to multimedia information analysis. We investigate color and other fundamental aspects of computer vision, such mathematical morphology and its capabilities to describe shape. An important key to image retrieval is invariant features, among which color carries the most information. We pursue a photogramatic view of color to derive classes of invariant features with well-known conditions of failure. Texture and motion are also approached in this way.
Applications here are in image searching and in industrial inspection systems.
We design such tool- and experimentation boxes for multimedia information analysis. We define vision methods in terms of detectors and implement them in encapsulated modules. We also support the effort to make computer vision a systems and engineering science. To that end, we maintain many partnerships with industry for visual inspection. We aim to integrate the multimedia information analysis in multimedia information databases, permitting fast access by content.