Saliency, Scale and Image Description
International Journal of Computer Vision
Vector Boosting for Rotation Invariant Multi-View Face Detection
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Geometric Context from a Single Image
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
MUM '05 Proceedings of the 4th international conference on Mobile and ubiquitous multimedia
Seam carving for content-aware image resizing
ACM SIGGRAPH 2007 papers
Optimized scale-and-stretch for image resizing
ACM SIGGRAPH Asia 2008 papers
The sweet spot: how people trade off size and definition on mobile devices
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Abstractive summarization of line graphs from popular media
WASDGML '11 Proceedings of the Workshop on Automatic Summarization for Different Genres, Media, and Languages
Shot classification using domain specific features for movie management
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part II
Video saliency detection with robust temporal alignment and local-global spatial contrast
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Saliency detection using centroid weight map
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
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Image summarization is to determine a smaller but faithful representation of the original visual content. In this paper, we propose a context saliency based image summarization approach, incorporating statistical saliency and geometric information as the importance measurement instead of visual saliency. To ensure image summaries to be adaptive to target device under perception constraint, we present a grid-based piecewise linear image warping scaleplate, and adopt the sweet spot evaluation to generate a flexible model combining the cropping and warping methods. Additionally, we explore potential extensions on image retargeting, thumbnail generation, digitalmatting and photo browsing. Experimental results show comparable performance compared to the-state-of-art on common data sets.