Title :
Sensarea: An authoring tool to create accurate clickable videos
Author :
Bertolino, Pascal
Author_Institution :
Gipsa-Lab., Grenoble Inst. of Technol., Grenoble, France
Abstract :
We present a user-friendly software application that can be used in a post-production environment and that allows to automatically or semi-automatically perform spatiotemporal segmentation of video objects. The central element in the application is a local pyramid-based segmentation algorithm. Several tools are provided to interactively guide or correct the automatic process when necessary. The masks of the extracted objects can be exported in a Flash or XML vectorized format and can be synchronized to the original video for many applications such as clickable videos.
Keywords :
XML; authoring systems; image segmentation; video signal processing; Flash vectorized format; Sensarea; XML vectorized format; authoring tool; clickable videos; local pyramid-based segmentation algorithm; post-production environment; user-friendly software application; video object spatiotemporal segmentation; Context; Manuals; Motion segmentation; Object segmentation; Software; Tracking; Videos;
Conference_Titel :
Content-Based Multimedia Indexing (CBMI), 2012 10th International Workshop on
Conference_Location :
Annecy
Print_ISBN :
978-1-4673-2368-0
Electronic_ISBN :
1949-3983
DOI :
10.1109/CBMI.2012.6269804