Video Pulses: User-Based Modeling of Interesting Video Segments
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 o...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2014/712589 |
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| _version_ | 1850215318778019840 |
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| author | Markos Avlonitis Konstantinos Chorianopoulos |
| author_facet | Markos Avlonitis Konstantinos Chorianopoulos |
| author_sort | Markos Avlonitis |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-852dc04e44e243b3a4a2cee8cfefafdb |
| institution | OA Journals |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-852dc04e44e243b3a4a2cee8cfefafdb2025-08-20T02:08:39ZengWileyAdvances in Multimedia1687-56801687-56992014-01-01201410.1155/2014/712589712589Video Pulses: User-Based Modeling of Interesting Video SegmentsMarkos Avlonitis0Konstantinos Chorianopoulos1Ionian University, 49100 Corfu, GreeceIonian University, 49100 Corfu, GreeceWe 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.http://dx.doi.org/10.1155/2014/712589 |
| spellingShingle | Markos Avlonitis Konstantinos Chorianopoulos Video Pulses: User-Based Modeling of Interesting Video Segments Advances in Multimedia |
| title | Video Pulses: User-Based Modeling of Interesting Video Segments |
| title_full | Video Pulses: User-Based Modeling of Interesting Video Segments |
| title_fullStr | Video Pulses: User-Based Modeling of Interesting Video Segments |
| title_full_unstemmed | Video Pulses: User-Based Modeling of Interesting Video Segments |
| title_short | Video Pulses: User-Based Modeling of Interesting Video Segments |
| title_sort | video pulses user based modeling of interesting video segments |
| url | http://dx.doi.org/10.1155/2014/712589 |
| work_keys_str_mv | AT markosavlonitis videopulsesuserbasedmodelingofinterestingvideosegments AT konstantinoschorianopoulos videopulsesuserbasedmodelingofinterestingvideosegments |