LabelMe video: Building a video database with human annotations

LabelMe video: Building a video database with human annotations

Currently, video analysis algorithms suffer from lack of information regarding the objects present, their interactions, as well as from missing comprehensive annotated video databases for benchmarking. We designed an online and openly accessible video annotation system that allows anyone with a brow...

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Bibliographic Details
Main Authors: Yuen, Jenny (Contributor), Russell, Bryan (Author), Liu, Ce (Contributor), Torralba, Antonio (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2011-05-11T18:20:17Z.
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