The ultimate objective of image sequence analysis and interpretation is the extraction, analysis, and interpretation of the information contained in an image sequence. Typically these operations do not depend on the application domain and often are the first steps towards analysis or interpretation of the image. Image analysis is the set of measurement methods transforming the image data to numerical descriptions. One step further, the various objects in the image are detected and recognized, which in its most elaborate form belongs to the field of image interpretation or even image understanding. Here, the goal is to understand or to model the recorded part of the real world.
Emphasis is on image sequence analysis and interpretation.
The quest for fundamental methodologies takes place within different application domains such as utility map interpretation, stereoscopic and 3D imaging, facial gesture recognition, medical image analysis, etc. Typical problems that are studied in image sequence analysis are motion and disparity estimation, separately or combined with image segmentation. These problems are mainly considered from the viewpoint of image sequence compression or intermediate viewpoint interpolation. Within image sequence compression, motion is used to predict future images. The necessary information is then derived from a fixed set of cameras.