Image retrieval and classification using affine invariant B-spline representation and neural networks
Yiannis Xirouhakis, Yannis Avrithis, Stefanos Kollias · 1998
In this paper, a system for content-based image retrieval from video databases is introduced, using B-splines for affine invariant object representation. A small number of "key-frames" is extracted from each video sequence, which provide sufficient information about the video content. Color and motion segmentation and tracking is then employed for automatic extraction of video objects. A B-spline representation of the object contours is then obtained, which possesses important properties, such as smoothness, continuity and invariance under affine transformation. A neural network approach is used for supervised classification of video objects into prototype object classes. Finally, higher level classes can be constructed combining primary classes, providing the ability to obtain a high level of abstraction in the representation of each video sequence.