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, Russell, Bryan, Liu, Ce, Torralba, Antonio
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2011
Online Access:http://hdl.handle.net/1721.1/62816
https://orcid.org/0000-0003-4915-0256