Title :
New methods for dynamic mosaicking
Author_Institution :
INRIA, IRISA, Rennes, France
fDate :
8/1/2001 12:00:00 AM
Abstract :
This paper presents a new technique for the creation of a sequence of mosaic images from an original video shot. A mosaic image represents, on a single image, the scene background seen all over the sequence and its creation requires the estimation of the warping parameters and the use of a blending technique. The warping parameters permit one to represent each original image in the mosaic reference. An estimation method, based on a direct comparison between the current original image and the previously calculated mosaic is proposed. A new analytic minimization criterion is also designed to optimize the determination of the blending coefficient used for the update of the mosaic image with a new original image. This criterion is based on constraints related to the temporal variations of the background, the temporal delay and the resolution of the created mosaic images, while its minimization can be analytically performed. Finally, the proposed method is applied to the creation of new video sequences in which the camera point of view, the camera focal, or the image size are modified. This approach has been tested and validated on real video sequences with large camera motion
Keywords :
delays; image representation; image resolution; image segmentation; image sequences; minimisation; motion compensation; motion estimation; video cameras; video signal processing; analytic minimization criterion; blending coefficient; blending technique; camera motion; dynamic mosaic representation; dynamic mosaicking; image representation; image resolution; image size; mosaic image sequence; mosaic reference; motion compensation; motion estimation; object-based segmentation; scene background; temporal delay; temporal variations; video camera; video post-production applications; video sequences; video shot; warping parameters estimation; Cameras; Delay; Design optimization; Image analysis; Indexing; Layout; Lighting; Motion estimation; Video compression; Video sequences;
Journal_Title :
Image Processing, IEEE Transactions on