A multiresolution spline with application to image mosaics
ACM Transactions on Graphics (TOG)
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Computer Graphics and Applications
Single-View Metrology: Algorithms and Applications
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
ACM SIGGRAPH 2003 Papers
A Closed Form Solution to Natural Image Matting
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
ACM SIGGRAPH 2007 papers
Sketch2Photo: internet image montage
ACM SIGGRAPH Asia 2009 papers
Exemplar-based video inpainting without ghost shadow artifacts by maintaining temporal continuity
IEEE Transactions on Circuits and Systems for Video Technology
Novel cross-diamond-hexagonal search algorithms for fast block motion estimation
IEEE Transactions on Multimedia
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Storytelling and narrative creation are very popular research issues in the field of interactive media design. In this paper, we propose a framework for generating video narrative from existing videos which user only needs to involve in two steps: (1) select background video and avatars; (2) set up the movement and trajectory of avatars. To generate a realistic video narrative, several important steps have to be implemented. First, a video scene generation process is designed to generate a video mosaic. This video mosaic can be used as a basis for narrative planning. Second, an avatar preprocessing procedure with moderate avatar control technologies is designed to regulate a number of specific properties, such as the size or the length of constituent motion clips, and control the motion of avatars. Third, a layer merging algorithm and a spatiotemporal replacement algorithm are developed to ensure the visual quality of a generated video narrative. To demonstrate the efficacy of the proposed method, we generated several realistic video narratives from some chosen video clips and the results turned out to be visually pleasing.