Efficiently Scaling up Crowdsourced Video Annotation: A Set of Best Practices for High Quality, Economical Video Labeling

We present an extensive three year study on economically annotating video with crowdsourced marketplaces. Our public framework has annotated thousands of real world videos, including massive data sets unprecedented for their size, complexity, and cost. To accomplish this, we designed a state-of-the-...

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Bibliographic Details
Published in:International journal of computer vision 2013-01, Vol.101 (1), p.184-204
Main Authors: Vondrick, Carl, Patterson, Donald, Ramanan, Deva
Format: Article
Language:English
Subjects:
Algorithms
Annotations
Applied sciences
Artificial Intelligence
Biological and medical sciences
Budgeting
Cognition. Intelligence
Computer Imaging
Computer Science
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Computer vision
Economics
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
Image Processing and Computer Vision
Intellectual and cognitive abilities
Machine vision
Marketing
Marking
Pattern Recognition
Pattern Recognition and Graphics
Pattern recognition. Digital image processing. Computational geometry
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Software
Vision
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