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Estimation of Tags Using Various Data for Online Videos

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Advanced Information Networking and Applications (AINA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 926))

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Abstract

We propose a method for estimating new tags to enrich folksonomy on video sharing sites using various video information. Folksonomy is a process by which users tag videos to facilitate searches. One such website is Nico Nico Douga, although users of the site cannot post more than 12 tags to a video. Consequently, although some important tags will be posted, others might be missing. We present a method for acquiring some of these missing tags by choosing new tags. The method uses comments, tags, titles, descriptions, and thumbnails to estimate new tags. Using these data, we develop various algorithms, including neural networks, word embeddings, and K-means. Our method indicated high performance in experimental results.

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Notes

  1. 1.

    http://www.nicovideo.jp/.

  2. 2.

    https://www.youtube.com/.

  3. 3.

    http://www.bilibili.com/.

  4. 4.

    http://www.unicode.org/reports/tr15/.

  5. 5.

    https://pytorch.org/docs/stable/torchvision/models.html#torchvision.models.resnet50.

  6. 6.

    http://fallabs.com/kyotocabinet/.

  7. 7.

    http://www.nii.ac.jp/cscenter/idr/nico/nico.html.

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Author information

Authors and Affiliations

  1. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8654, Japan

    Hiroki Sakaji & Kiyoshi Izumi

  2. RIKEN AIP Center, Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan

    Akio Kobayashi

  3. Ibaraki University, 4-12-1 Nakanarusawa, Hitachi, Ibaraki, 316-8511, Japan

    Masaki Kohana

  4. Aoyama Gakuin University, 5-10-1 Fuchinobe, Chuo-ku, Sagamihara-shi, Kanagawa, 252-5258, Japan

    Yasunao Takano

Authors
  1. Hiroki Sakaji
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  2. Akio Kobayashi
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  3. Masaki Kohana
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  4. Yasunao Takano
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  5. Kiyoshi Izumi
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Corresponding author

Correspondence to Hiroki Sakaji .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Advanced Sciences, Hosei University, Koganei-Shi, Tokyo, Japan

    Makoto Takizawa

  3. Department of Computer Science, Technical University of Catalonia, Barcelona, Barcelona, Spain

    Fatos Xhafa

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Sakaji, H., Kobayashi, A., Kohana, M., Takano, Y., Izumi, K. (2020). Estimation of Tags Using Various Data for Online Videos. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_26

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