An advertisement video analysis system based on eye-tracking

Xue Bai Zhang, Chih Tien Fan, Shyan-Ming Yuan, Zih You Peng

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

5 Scopus citations

Abstract

Eye tracking technology provides a faster and more intuitive interface to evaluate video contents. Fewer researches presented complete application of the eye tracking technology in advertisement design, with difficulty in mapping eye tracking data for moving targets on computer displays. This paper proposes an advertisement video analysis system based on eye-tracking for advertiser to evaluate the advertisement content objectively. A cheap eye tracking device is used in our system in order to reduce the burdens of medium-sized and small enterprises and research organizations to contact with eye tracking technology. Simple mouse operations are needed to define the dynamic Area of Interests (AOIs) in the video. Finally, the video which integrates the eye movement data and the dynamic AOIs is provided with some outputs, a simple statistical chart and a detail fixation information analysis. To evaluate the effectiveness of proposed system, we use an advertisement video with multiple moving targets to test eye movement of 20 participants. Experimental results show our system support the analysis of eye movement data for tracking multiple moving targets.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015
EditorsXingang Liu, Peicheng Wang, Yufeng Wang, Mianxiong Dong, Robert C. H. Hsu, Feng Xia, Yuhui Deng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages494-499
Number of pages6
ISBN (Electronic)9781509018932
DOIs
StatePublished - 1 Jan 2015
EventIEEE International Conference on Smart City, SmartCity 2015 - Chengdu, China
Duration: 19 Dec 201521 Dec 2015

Publication series

NameProceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015

Conference

ConferenceIEEE International Conference on Smart City, SmartCity 2015
CountryChina
CityChengdu
Period19/12/1521/12/15

Keywords

  • Advertisement video
  • Dynamic area of interest
  • Eye tracking technology

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    Zhang, X. B., Fan, C. T., Yuan, S-M., & Peng, Z. Y. (2015). An advertisement video analysis system based on eye-tracking. In X. Liu, P. Wang, Y. Wang, M. Dong, R. C. H. Hsu, F. Xia, & Y. Deng (Eds.), Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015 (pp. 494-499). [7463772] (Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartCity.2015.118