Improving semantic video indexing: Efforts in Waseda TRECVID 2015 SIN system

Kazuya Ueki, Tetsunori Kobayashi

    研究成果: Conference contribution

    抜粋

    In this paper, we propose a method for improving the performance of semantic video indexing. Our approach involves extracting features from multiple convolutional neural networks (CNNs), creating multiple classifiers, and integrating them. We employed four measures to accomplish this: (1) utilizing multiple evidences observed in each video and effectively compressing them into a fixed-length vector; (2) introducing gradient and motion features to CNNs; (3) enriching variations of the training and the testing sets; and (4) extracting features from several CNNs trained with various large-scale datasets. Using the test dataset from TRECVID's 2014 evaluation benchmark, we evaluated the performance of the proposal in terms of the mean extended inferred average precision measure. On this measure, our system's performance was 35.7, outperforming the state-of-the-art TRECVID 2014 benchmark performance of 33.2. Based on this work, our submission at TRECVID 2015 was ranked second among all submissions.

    元の言語English
    ホスト出版物のタイトル2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ1184-1188
    ページ数5
    2016-May
    ISBN(電子版)9781479999880
    DOI
    出版物ステータスPublished - 2016 5 18
    イベント41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China
    継続期間: 2016 3 202016 3 25

    Other

    Other41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
    China
    Shanghai
    期間16/3/2016/3/25

      フィンガープリント

    ASJC Scopus subject areas

    • Signal Processing
    • Software
    • Electrical and Electronic Engineering

    これを引用

    Ueki, K., & Kobayashi, T. (2016). Improving semantic video indexing: Efforts in Waseda TRECVID 2015 SIN system. : 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings (巻 2016-May, pp. 1184-1188). [7471863] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2016.7471863