The utilization of EEG signal in video compression
Joint Authors
Qananwah, Qasim
al-Zubi, Husayn
Bani Furayj, Ruba
Daqamisah, Ahmad
Hayden, Oliver
Source
Jordanian Journal of Computetrs and Information Technology
Issue
Vol. 5, Issue 3 (31 Dec. 2019), pp.263-274, 12 p.
Publisher
Princess Sumaya University for Technology
Publication Date
2019-12-31
Country of Publication
Jordan
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Due to technology advances in multimedia, larger storage spaces, large internet bandwidth and high-transmission speed are required for the transmission of videos.
video compression techniques play a vital role in reducing video size; therefore, smaller storage space and lower internet bandwidth are eventually required.
In this paper, the EEG signal is used to modify the compression ratio of videos based on the interest of the viewer.
this is performed by associating the compression ratio applied to the video with the degree of interest using a group of frames.
this interest for a group of frames is measured using the EEG signal to demonstrate the viewer responses to videos.
Statistical techniques applied to the EEG signal (such as peaks-over-threshold and time-of-peaks-over-thresholds) are used to extract the frames of interest.
Peak signal-to-noise ratio (PSNR), Structural Similarity Index (SSIM) and Mean-Square Error (MSE) are used to compare the performance of the proposed technique with the MPEG-4 technique.
the results show a reduction of 15 % in the video size compared with the MPEG-4 technique without deteriorating the quality of the videos.
American Psychological Association (APA)
Qananwah, Qasim& al-Zubi, Husayn& Bani Furayj, Ruba& Daqamisah, Ahmad& Hayden, Oliver. 2019. The utilization of EEG signal in video compression. Jordanian Journal of Computetrs and Information Technology،Vol. 5, no. 3, pp.263-274.
https://search.emarefa.net/detail/BIM-1415604
Modern Language Association (MLA)
Qananwah, Qasim…[et al.]. The utilization of EEG signal in video compression. Jordanian Journal of Computetrs and Information Technology Vol. 5, no. 3 (Dec. 2019), pp.263-274.
https://search.emarefa.net/detail/BIM-1415604
American Medical Association (AMA)
Qananwah, Qasim& al-Zubi, Husayn& Bani Furayj, Ruba& Daqamisah, Ahmad& Hayden, Oliver. The utilization of EEG signal in video compression. Jordanian Journal of Computetrs and Information Technology. 2019. Vol. 5, no. 3, pp.263-274.
https://search.emarefa.net/detail/BIM-1415604
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 272-274
Record ID
BIM-1415604