An Alternative Approach to Exploring a Video

Fahim A. Salim, Fasih Haider, Owen Conlan, Saturnino Luz

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract / Description of output

Exploring the content of a video is typically inefficient due to the linear streamed nature of its media. 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 more effective content exploration within different parts of a video. This paper presents a novel system for videos’ exploration and reports a recent user study conducted to learn usage patterns by offering video content as an alternative representation. 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 more efficient exploration of video content.
Original languageEnglish
Title of host publicationProceedings of SPECOM'17
EditorsAlexey Karpov, Rodmonga Potapova, Iosif Mporas
Place of PublicationHatfield, Hertfordshire, UK
PublisherSpringer International Publishing AG
Number of pages10
ISBN (Electronic)978-3-319-66429-3
ISBN (Print)978-3-319-66429-3
Publication statusPublished - 13 Aug 2017

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing


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