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Video Pulses : User-Based Modeling of Interesting Video Segments
Joint Authors
Chorianopoulos, Konstantinos
Avlonitis, Markos
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
We present a user-based method that detects regions of interest within a video in order to provide video skims and video summaries.
Previous research in video retrieval has focused on content-based techniques, such as pattern recognition algorithms that attempt to understand the low-level features of a video.
We are proposing a pulse modeling method, which makes sense of a web video by analyzing users' Replay interactions with the video player.
In particular, we have modeled the user information seeking behavior as a time series and the semantic regions as a discrete pulse of fixed width.
Then, we have calculated the correlation coefficient between the dynamically detected pulses at the local maximums of the user activity signal and the pulse of reference.
We have found that users' Replay activity significantly matches the important segments in information-rich and visually complex videos, such as lecture, how-to, and documentary.
The proposed signal processing of user activity is complementary to previous work in content-based video retrieval and provides an additional user-based dimension for modeling the semantics of a social video on the web.
American Psychological Association (APA)
Avlonitis, Markos& Chorianopoulos, Konstantinos. 2014. Video Pulses : User-Based Modeling of Interesting Video Segments. Advances in Multimedia،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-492547
Modern Language Association (MLA)
Avlonitis, Markos& Chorianopoulos, Konstantinos. Video Pulses : User-Based Modeling of Interesting Video Segments. Advances in Multimedia No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-492547
American Medical Association (AMA)
Avlonitis, Markos& Chorianopoulos, Konstantinos. Video Pulses : User-Based Modeling of Interesting Video Segments. Advances in Multimedia. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-492547
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492547