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Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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Video Storytelling Dataset

Authors: Junnan Li; Yongkang Wong; Zhao, Qi; Kankanhalli, Mohan S.;

Video Storytelling Dataset

Abstract

Video Storytelling is a dataset for generating text story/summarization for videos containing social events. It consists of 105 videos from four categories: birthday, camping, Christmas and wedding. For each video, we provide at least 5 human-written stories. Videos are contained in the .tar file with their corresponding category name. Text stories are contained in Text.tar. In each txt file, the first line is the video id. The start and end time (in seconds) of each sentence is also given. test_id.txt provides the id for videos in the test set Please cite the following paper if you use the Video Storytelling dataset in your work (papers, articles, reports, books, software, etc): Video Storytelling: Textual Summaries for Events. J. Li, Y. Wong, Q.Zhao, M. Kankanhalli. IEEE Transactions on Multimedia.

Keywords

Video Storytelling, Video Summarization

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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