Video retargeting: A visual-friendly dynamic programming approach

Video retargeting is the task of fitting standard-sized video into arbitrary screen. A compelling retargeting attempts to preserve most visual information of original video as well as deliver a temporally consistent retargeted view. To handle long video sequences, we perform the task on a shot/subshot basis. For each frame, a crop pane is determined to optimally select a region of interest as the retargeted frame in two stages: i.e. minimizing visual information loss (intra-frame consideration) to yield source and destination crop pane parameters at boundary frames and minimizing visual information loss accumulation under the visual inertness (inter-frame consideration) constraints to search for a smooth transition of crop pane across interior frames. The second minimization process is remodeled as the shortest-path problem in graph theory and the parametric transition of crop panes is solved by dynamic programming. Experiments demonstrate our approach preserves salient regions of original video whilst offering eye-friendly visual consistency.

[1]  Nilesh V. Patel,et al.  Video shot detection and characterization for video databases , 1997, Pattern Recognit..

[2]  Denis Simakov,et al.  Summarizing visual data using bidirectional similarity , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[3]  Gang Hua,et al.  Efficient Scale-Space Spatiotemporal Saliency Tracking for Distortion-Free Video Retargeting , 2009, ACCV.

[4]  Daniel Cohen-Or,et al.  Non-homogeneous Content-driven Video-retargeting , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[5]  John S. Boreczky,et al.  Comparison of video shot boundary detection techniques , 1996, Electronic Imaging.

[6]  Ariel Shamir,et al.  Improved seam carving for video retargeting , 2008, SIGGRAPH 2008.

[7]  Christof Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .

[8]  Michael Gleicher,et al.  Video retargeting: automating pan and scan , 2006, MM '06.

[9]  Yu Huang,et al.  Video retargeting with nonlinear spatial-temporal saliency fusion , 2010, 2010 IEEE International Conference on Image Processing.

[10]  Hermann Ney,et al.  Pan, zoom, scan — Time-coherent, trained automatic video cropping , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.