Fast forward with your VCR: Visualizing single-video viewing statistics for navigation and sharing

Abir Al-Hajri, Matthew Fong, Gregor Miller, Sidney Fels

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Online video viewing has seen explosive growth, yet simple tools to facilitate navigation and sharing of the large video space have not kept pace. We propose the use of single-video viewing statistics as the basis for a visualization of video called the View Count Record (VCR). Our novel visualization utilizes variable-sized thumbnails to represent the popularity (or affectiveness) of video intervals, and provides simple mechanisms for fast navigation, informed search, video previews, simple sharing and summarization. The viewing statistics are generated from an individual's video consumption, or crowd-sourced from many people watching the same video; both provide different scenarios for application (e.g. implicit tagging of interesting events for an individual, and quickly navigating to others' most-viewed scenes for crowd-sourced). A comparative user study evaluates the effectiveness of the VCR by asking participants to share previously-seen affective parts within videos. Experimental results demonstrate that the VCR outperforms the state-of-the-art in a search task, and has been welcomed as a recommendation tool for clips within videos (using crowd-sourced statistics). It is perceived by participants as effective, intuitive and strongly preferred to current methods. Copyright held by authors.

Original languageEnglish
Title of host publicationProceedings - Graphics Interface 2014, GI 2014
PublisherCanadian Information Processing Society
Pages123-128
Number of pages6
ISBN (Print)9781482260038
Publication statusPublished - 2014
Event40th Graphics Interface Conference, GI 2014 - Montreal, QC, Canada
Duration: May 7 2014May 9 2014

Other

Other40th Graphics Interface Conference, GI 2014
CountryCanada
CityMontreal, QC
Period5/7/145/9/14

Keywords

  • H.1.2. [models and principles]: user/machine systems
  • H.5.2. [information interfaces and presentation]: user interfaces

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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  • Cite this

    Al-Hajri, A., Fong, M., Miller, G., & Fels, S. (2014). Fast forward with your VCR: Visualizing single-video viewing statistics for navigation and sharing. In Proceedings - Graphics Interface 2014, GI 2014 (pp. 123-128). Canadian Information Processing Society.