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An approach for exploring a video via multimodal feature extraction and user interactions

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Abstract

Exploring the content of a video is typically inefficient due to the linear streamed nature of its media and the lack of interactivity. Video may be seen as a combination of a set of features, the visual track, the audio track and transcription of the spoken words, etc. These features may be viewed as a set of temporally bounded parallel modalities. It is our contention that together these modalities and derived features have the potential to be presented individually or in discrete combination, to allow deeper and effective content exploration within different parts of a video in an interactive manner. A novel system for video exploration by offering video content as an alternative representation is proposed. The proposed system represents the extracted multimodal features as an automatically generated interactive multimedia webpage. This paper also presents a user study conducted to learn its (proposed system) usage patterns. The learned usage patterns may be utilized to build a template driven representation engine that uses the features to offer a multimodal synopsis of video that may lead to efficient exploration of video content.

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Notes

  1. https://techcrunch.com/2017/02/28/people-now-watch-1-billion-hours-of-youtube-per-day/—last verified: October 2017.

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Authors and Affiliations

  1. ADAPT Centre, Trinity College Dublin, Dublin, Ireland

    Fahim A. Salim & Owen Conlan

  2. Usher Institute, University of Edinburgh, Edinburgh, UK

    Fasih Haider & Saturnino Luz

Authors
  1. Fahim A. Salim
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  2. Fasih Haider
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  3. Owen Conlan
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  4. Saturnino Luz
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Correspondence to Fahim A. Salim.

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This research is supported by The ADAPT Centre for Digital Content Technology. ADAPT is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund at School of Computer Science and Statistics, Trinity College Dublin, Ireland and EU H2020 project SAAM under Grant No. 769661 at the University of Edinburgh, UK and Science Foundation Ireland (Grant 12/CE/I2267).

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Salim, F.A., Haider, F., Conlan, O. et al. An approach for exploring a video via multimodal feature extraction and user interactions. J Multimodal User Interfaces 12, 285–296 (2018). https://doi.org/10.1007/s12193-018-0268-0

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