Digital image processing
Compact Representations of Videos Through Dominant and Multiple Motion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Creating full view panoramic image mosaics and environment maps
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Identification of blur parameters from motion blurred images
Graphical Models and Image Processing
The scientist and engineer's guide to digital signal processing
The scientist and engineer's guide to digital signal processing
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Motion Deblurring and Super-resolution from an Image Sequence
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Determination of Optical Flow and its Discontinuities using Non-Linear Diffusion
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Local Blur Estimation and Super-Resolution
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Automatic Mosaicing with Super-Resolution Zoom
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A new method for camera motion parameter estimation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Efficient Super-Resolution and Applications to Mosaics
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Intelligent Systems
Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
New methods for dynamic mosaicking
IEEE Transactions on Image Processing
Bayesian resolution enhancement of compressed video
IEEE Transactions on Image Processing
Super-resolution still and video reconstruction from MPEG-coded video
IEEE Transactions on Circuits and Systems for Video Technology
Local object-based super-resolution mosaicing from low-resolution video
Signal Processing
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In this paper we address the problem of mosaic construction from MPEG 1/2 compressed video for the purpose of video browsing. State-of-the-art mosaicing methods work on raw video, but most video content is available in compressed form such as MPEG 1/2. Applying these methods to compressed video requires full decoding which is very costly. The resulting mosaic is in general too large to display on the screen and is thus inappropriate for the purpose of video browsing. Therefore, we directly extract very low-resolution frames from MPEG 1/2 compressed video for the mosaic construction and then apply a super-resolution (SR) method based on iterative backprojections in order to increase the mosaic resolution and its visual quality. Global motion to be used in the SR method for aligning and warping the frames is estimated from motion information contained in the compressed stream. We also use the estimated global motion in the blur estimation and in the choice of the degradation model used for the restoration in the SR algorithm. The method for the SR mosaic construction from MPEG 1/2 compressed video that we present in this paper is less costly than mosaic construction from full decoded video. Furthermore, the resulting mosaic size is more appropriate for the purpose of video browsing.