research-article

Free access

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

Authors:

Sidney FelsAuthors Info & Claims

GI '14: Proceedings of Graphics Interface 2014

Pages 123 - 128

Published: 07 May 2014 Publication History

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.

Supplementary Material

JPG File (p123-al-hajri.jpg)

Download
21.87 KB

MP4 File (p123-al-hajri.mp4)

Download
16.97 MB

References

[1]

M. Ajmal, M. Ashraf, M. Shakir, Y. Abbas, and F. Shah. Video summarization: Techniques and classification. In L. Bolc, R. Tadeusiewicz, L. Chmielewski, and K. Wojciechowski, editors, Computer Vision and Graphics, volume 7594 of Lecture Notes in Computer Science, pages 1--13. Springer Berlin Heidelberg, 2012.

Digital Library

[2]

A. Al-Hajri, G. Miller, S. Fels, and M. Fong. Video navigation with a personal viewing history. In Human-Computer Interaction -- INTERACT 2013, volume 8119 of Lecture Notes in Computer Science, pages 352--369. Springer Berlin Heidelberg, 2013.

[3]

A. Al-Hajri, G. Miller, M. Fong, and S. Fels. Visualization of personal history for video navigation. In Proceedings of the ACM CHI Conference on Human Factors on Computing Systems, CHI'14, New York City, New York, U.S.A., 2014. ACM.

Digital Library

[4]

K.-Y. Cheng, S.-J. Luo, B.-Y. Chen, and H.-H. Chu. Smartplayer: user-centric video fast-forwarding. In Proceedings of the 27th international conference on Human factors in computing systems, CHI '09, pages 789--798. ACM, 2009.

Digital Library

[5]

M. Christel and N. Moraveji. Finding the right shots: assessing usability and performance of a digital video library interface. In Proceedings of the 12th annual ACM international conference on Multimedia, MULTIMEDIA '04, pages 732--739. ACM, 2004.

Digital Library

[6]

C. D. Correa and K.-L. Ma. Dynamic video narratives. In ACM SIGGRAPH 2010 Papers, SIGGRAPH '10, pages 88:1--88:9, New York, NY, USA, 2010. ACM.

Digital Library

[7]

G. Daniel and M. Chen. Video visualization. In Proceedings of the 14th IEEE Visualization 2003 (VIS'03), VIS '03, pages 54--, Washington, DC, USA, 2003. IEEE Computer Society.

Digital Library

[8]

M. Davis. Human-computer interaction. chapter Media Streams: An Iconic Visual Language for Video Representation, pages 854--866. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1995.

Digital Library

[9]

P. Dragicevic, G. Ramos, J. Bibliowitcz, D. Nowrouzezahrai, R. Balakrishnan, and K. Singh. Video browsing by direct manipulation. In Proceedings of the Conference on Human Factors in Computing Systems, pages 237--246. ACM, 2008.

Digital Library

[10]

S. M. Drucker, A. Glatzer, S. De Mar, and C. Wong. Smartskip: consumer level browsing and skipping of digital video content. In Proceedings of the SIGCHI conference on Human factors in computing systems: Changing our world, changing ourselves, CHI '02, pages 219--226. ACM, 2002.

Digital Library

[11]

M. Fong, A. Al-Hajri, G. Miller, and S. Fels. Casual authoring using a video navigation history. In Graphics Interface, GI '14. Canadian Information Processing Society/ACM, May 2014.

Digital Library

[12]

C. Gkonela and K. Chorianopoulos. Videoskip: event detection in social web videos with an implicit user heuristic. Multimedia Tools and Applications, pages 1--14, 2012. 10.1007/s11042-012-1016-1.

Digital Library

[13]

K.-W. Hwang, D. Applegate, A. Archer, V. Gopalakrishnan, S. Lee, V. Misra, K. Ramakrishnan, and D. Swayne. Leveraging video viewing patterns for optimal content placement. In R. Bestak, L. Kencl, L. Li, J. Widmer, and H. Yin, editors, NETWORKING 2012, volume 7290 of Lecture Notes in Computer Science, pages 44--58. Springer Berlin Heidelberg, 2012.

Digital Library

[14]

I. Leftheriotis, C. Gkonela, and K. Chorianopoulos. Efficient video indexing on the web: A system that leverages user interactions with a video player. In Proceedings of the 2nd International Conference on User-Centric Media (UCMEDIA), 2012.

[15]

J. Matejka, T. Grossman, and G. Fitzmaurice. Swifter: Improved on-line video scrubbing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '13, pages 1159--1168, New York, NY, USA, 2013. ACM.

Digital Library

[16]

R. Mertens, R. Farzan, and P. Brusilovsky. Social navigation in web lectures. In Proceedings of the seventeenth conference on Hypertext and hypermedia, HYPERTEXT '06, pages 41--44. ACM, 2006.

Digital Library

[17]

A. G. Money and H. Agius. Video summarisation: A conceptual framework and survey of the state of the art. J. Vis. Comun. Image Represent., 19(2):121--143, Feb. 2008.

Digital Library

[18]

C. Nguyen, Y. Niu, and F. Liu. Video summagator: An interface for video summarization and navigation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '12, pages 647--650, New York, NY, USA, 2012. ACM.

Digital Library

[19]

S. Pongnumkul, J. Wang, and M. Cohen. Creating map-based story-boards for browsing tour videos. In Proceedings of the 21st annual ACM symposium on User interface software and technology, UIST '08, pages 13--22. ACM, 2008.

Digital Library

[20]

C. A. Russell and S. J. Levy. The temporal and focal dynamics of volitional reconsumption: A phenomenological investigation of repeated hedonic experiences. Journal of Consumer Research, 39(2):341--359, August 2012.

[21]

D. A. Shamma, R. Shaw, P. L. Shafton, and Y. Liu. Watch what i watch: using community activity to understand content. In Proceedings of the International Workshop on multimedia information retrieval, MIR '07, pages 275--284. ACM, 2007.

Digital Library

[22]

B. T. Truong and S. Venkatesh. Video abstraction: A systematic review and classification. ACM Trans. Multimedia Comput. Commun. Appl., 3(1), Feb. 2007.

Digital Library

[23]

J. Yew, D. A. Shamma, and E. F. Churchill. Knowing funny: genre perception and categorization in social video sharing. In Proceedings of the 2011 annual conference on Human factors in computing systems, CHI '11, pages 297--306. ACM, 2011.

Digital Library

[24]

B. Yu, W.-Y. Ma, K. Nahrstedt, and H.-J. Zhang. Video summarization based on user log enhanced link analysis. In Proceedings of the eleventh ACM international conference on Multimedia, MULTIMEDIA '03, pages 382--391. ACM, 2003.

Digital Library

Cited By

Higuchi KYonetani RSato YMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)EgoScanningProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025821(6536-6546)Online publication date: 2-May-2017
https://dl.acm.org/doi/10.1145/3025453.3025821
Fong MMiller GZhang XRoll IHendricks CFels SPopa TMoffatt K(2016)An Investigation of Textbook-Style Highlighting for VideoProceedings of the 42nd Graphics Interface Conference10.5555/3076132.3076172(201-208)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.5555/3076132.3076172
Choi JKim C(2016)A framework for automatic static and dynamic video thumbnail extractionMultimedia Tools and Applications10.1007/s11042-015-2909-675:23(15975-15991)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1007/s11042-015-2909-6

Index Terms

Fast forward with your VCR: visualizing single-video viewing statistics for navigation and sharing
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Flash-forward CCN: flow-driven forwarding architecture for content centric networks
ACM-ICN '14: Proceedings of the 1st ACM Conference on Information-Centric Networking

Content-centric Networking (CCN) promises significant advantages over the current Internet architecture by replacing its host-centric design with a content-centric one, and enabling in-network caching and name-based forwarding. However, despite its ...
Evaluation of Fast-Forward Video Visualization

We evaluate and compare video visualization techniques based on fast-forward. A controlled laboratory user study (n = 24) was conducted to determine the trade-off between support of object identification and motion perception, two properties that have to ...
Hifi VCR System

Improvement of the sound quality for home VCRs has been strongly desired. As the tape velocity becomes smaller according to the high density recording, the conventional fixed sound head gives poor quality in S/N and frequency response. It is well known ...

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings

GI '14: Proceedings of Graphics Interface 2014

May 2014

230 pages

ISBN:9781482260038

Program Chairs:
Paul G. Kry
McGill University, Canada
,
Andrea Bunt
University of Manitoba, Canada

Sponsors

CHCCS: The Canadian Human-Computer Communications Society

Publisher

Canadian Information Processing Society

Canada

Publication History

Published: 07 May 2014

Qualifiers

Research-article

Acceptance Rates

Overall Acceptance Rate 206 of 508 submissions, 41%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
206
Total Downloads

Downloads (Last 12 months)50
Downloads (Last 6 weeks)9

Reflects downloads up to 23 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Higuchi KYonetani RSato YMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)EgoScanningProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025821(6536-6546)Online publication date: 2-May-2017
https://dl.acm.org/doi/10.1145/3025453.3025821
Fong MMiller GZhang XRoll IHendricks CFels SPopa TMoffatt K(2016)An Investigation of Textbook-Style Highlighting for VideoProceedings of the 42nd Graphics Interface Conference10.5555/3076132.3076172(201-208)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.5555/3076132.3076172
Choi JKim C(2016)A framework for automatic static and dynamic video thumbnail extractionMultimedia Tools and Applications10.1007/s11042-015-2909-675:23(15975-15991)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1007/s11042-015-2909-6

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Table of Contents