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Video retargeting is the process of transforming an existing video to fit the dimensions of an arbitrary display. A compelling retargeting aims at preserving the viewers' experience by maintaining the information content of important regions in the frame, whilst keeping their aspect ratio. An efficient algorithm for video retargeting is introduced. It(More)
We present a semi-automatic system that converts conventional video shots to stereoscopic video pairs. The system requires just a few user-scribbles in a sparse set of frames. The system combines a diffusion scheme, which takes into account the local saliency and the local motion at each video location, coupled with a classification scheme that assigns(More)
The seminal work of Hubel and Wiesel (1965) and the vast amount of work that followed it prove that hierarchies of increasingly complex cells play a central role in cortical computations. Computational models, pioneered by Fukushima (1980), suggest that these hierarchies contain feature-building cells ("S-cells") and pooling cells ("C-cells"). More(More)
Content aware video manipulation (CAVM) is a method for the analysis and recomposition of video foot-age, by means of content analysis and adaptive video warping. One main motivation of CAVM is ''video retargeting'', a process that visually alters an existing video while considering the relative importance of its various regions. CAVM video retargeting aims(More)
We present an algorithm that compresses two-dimensional data arrays, which are piece-wise smooth in one direction and have oscillating events in the other direction. Seismic, hyper-spectral and fingerprints data have this mixed structure. The transform part of the compression process is an algorithm that combines wavelet and the local cosine transform (LCT)(More)
Received (Day Month Year) Revised (Day Month Year) Communicated by (xxxxxxxxxx) We present an algorithm that compresses two-dimensional data, which are piece-wise smooth in one direction and have oscillatory events in the other direction. Fine texture, seismic, hyper-spectral and fingerprints have this mixed structure. The transform part of the compression(More)
We present an algorithm that compresses two-dimensional data arrays, which are piece-wise smooth in one direction and have oscillatory events in the other direction. Seismic and hyper-spectral data have this mixed structure. The transform part of the compression process is an algorithm that combines wavelet and the local cosine transform (LCT). The(More)
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