Detecting Salient Motion by Accumulating Directionally-Consistent Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Subwindow Search: A Branch and Bound Framework for Object Localization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatiotemporal Saliency in Dynamic Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards Moment Imagery: Automatic Cinemagraphs
CVMP '11 Proceedings of the 2011 Conference for Visual Media Production
A tool for automatic cinemagraphs
Proceedings of the 20th ACM international conference on Multimedia
Automatic cinemagraphs for ranking beautiful scenes
Proceedings of the 20th ACM international conference on Multimedia
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A cinemagraph is a new type of medium that infuses a static image with the dynamics of one particular region. It is in many ways intermediate between a photograph and a video, and has a number of attractive potential applications, such as the creation of dynamic scenes for games and interactive environments. However, creating cinemagraphs is time consuming and requires certain level of proficiency on photo editing techniques. In this paper, we present a fully automatic approach that creates cinemagraphs from video sequences. Specifically, we view cinemagraph construction as a constrained optimization problem that seeks a sub-volume in video with the maximum cumulative flow fields. The problem can be efficiently solved by a branch and-bound search scheme. A user survey is conducted to understand user preferences and demonstrate the performance of the proposed approach. The findings of this study should provide information for various design choices for an easy and versatile authoring tool for cinemagraphs.