Data Set Online videos

Published on July 9th, 2015 | by Joshua New

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How Computers Understand What Matters in Videos

The Computer Vision group at Yahoo Labs, the Internet company’s research arm, has published a data set it used to train the algorithms that allow its video service to automatically interpret and summarize videos. The algorithms, known as TVSum, allow Yahoo’s software to identify the most important scenes in videos and condense videos into short, summarized clips. The data set includes 50 videos with annotations indicating important content to help researchers test their own computer vision and summarization algorithms without the need for extensive user studies.

Get the data.

Image: cveradasouza.


About the Author

Joshua New is a policy analyst at the Center for Data Innovation. He has a background in government affairs, policy, and communication. Prior to joining the Center for Data Innovation, Joshua graduated from American University with degrees in C.L.E.G. (Communication, Legal Institutions, Economics, and Government) and Public Communication. His research focuses on methods of promoting innovative and emerging technologies as a means of improving the economy and quality of life. Follow Joshua on Twitter @Josh_A_New.



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