SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
A multigrid solver for boundary value problems using programmable graphics hardware
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Near Real-Time Reliable Stereo Matching Using Programmable Graphics Hardware
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Automatic image retargeting with fisheye-view warping
Proceedings of the 18th annual ACM symposium on User interface software and technology
Seam carving for content-aware image resizing
ACM SIGGRAPH 2007 papers
Improved seam carving for video retargeting
ACM SIGGRAPH 2008 papers
Optimized scale-and-stretch for image resizing
ACM SIGGRAPH Asia 2008 papers
A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile
IEEE Transactions on Circuits and Systems for Video Technology
A perceptually optimized 3-D subband codec for video communication over wireless channels
IEEE Transactions on Circuits and Systems for Video Technology
Accelerate video decoding with generic GPU
IEEE Transactions on Circuits and Systems for Video Technology
Motion-compensated residue preprocessing in video coding based on just-noticeable-distortion profile
IEEE Transactions on Circuits and Systems for Video Technology
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Computer Graphics Forum
GPU video retargeting with parallelized SeamCrop
Proceedings of the 5th ACM Multimedia Systems Conference
Hi-index | 0.00 |
A recently developed image resizing technique, seam carving, has been proved to be a useful tool for content-adaptive spatially nonuniform image resizing with the purpose of optimal display on a screen of reduced resolution or different aspect ratio. In this paper, we present a fast algorithm for real-time content-aware video retargeting based on the improved seam carving method proposed in this paper. The proposed algorithm is designed to be highly parallelizable and suitable for running on a multicore architecture. First, two novel operators, i.e., seam update and seam split, are introduced to analyze an image for detecting the local and global seams with minimum costs very efficiently. With these operators, parallel processing can be achieved to determine multiple seams simultaneously. In addition, the saliency measure is extended with a just-noticeable-distortion model which makes the resized video more consistent with human perception. We demonstrate the efficiency of the above new components with a graphics processing unit (GPU) implementation. In addition, the proposed fast seam carving algorithm is extended for video retargeting. To the best of our knowledge, this is the first paper based on the seam carving method to achieve realtime video retargeting on a GPU. Experimental results on video sequences of various characteristics are demonstrated to show the superior performance of the proposed algorithm in comparison with the existing content-adaptive image/video resizing methods.