Looking into video frames on small displays
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective
IEEE Transactions on Knowledge and Data Engineering
Gaze-based interaction for semi-automatic photo cropping
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MUM '05 Proceedings of the 4th international conference on Mobile and ubiquitous multimedia
Video retargeting: automating pan and scan
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
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
Nonchronological Video Synopsis and Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-operator media retargeting
ACM SIGGRAPH 2009 papers
Optimized image resizing using seam carving and scaling
ACM SIGGRAPH Asia 2009 papers
Consumer video retargeting: context assisted spatial-temporal grid optimization
MM '09 Proceedings of the 17th ACM international conference on Multimedia
ACM SIGGRAPH ASIA 2009 Courses
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
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In this paper we propose a novel approach to semantic aware image retargeting combining seam carving and non-homogeneous warping. We extract the playing ground of basketball matches as the semantically important region and compute the Semantic Weight Function (SWF). We improve seam carving and warping using SWF. Furthermore, we combine seam carving and warping coherently. Our scheme starts from the seam carving operation on the original image. After a seam is removed, we compute Deformation of Semantic Edges (DSE). Seam carving is continued until DSE is larger than the assigned threshold. If the size of a current image is not the target size, it is further adapted to the target size using non-homogeneous warping. We compare our approach with scaling, seam carving and semantic aware seam carving. Experimental results show that our approach preserves more semantically important regions with less deformation.