Retrieving of video scenes using Arabic closed-caption
Joint Authors
Taha, A.
Nassar, H. M.
Nazmi, T. M.
Najati, K. A.
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 8, Issue 1 (31 Jan. 2008)13 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2008-01-31
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The increased use of video documents for multimedia-based applications has created a demand for strong video database support, including efficient methods for browsing and retrieving video data.
Most solutions to video browsing and retrieval of video data rely on visual information only, ignoring the rich source of the accompanying audio signal and texts.
Speech is the significant information that has a close connection to video contents.
The closed-caption text facilitates the acquisition of the video transcript.
This paper proposes a novel scheme for retrieving video scenes by exploring the Arabic closed-caption text.
The new approach classifies the input query and retrieves all the video scenes with the same category of the input query using a text-based video scenes classification technique.
Then, a caption-based filtering technique is utilized to determine the relevant scenes.
The proposed system is implemented and tested using a self collected and prepared dataset.
Experimental results show that the proposed approach achieves an average precision equal to 88.94% and average recall equal to 93.93% for video scenes retrieval.
American Psychological Association (APA)
Nassar, H. M.& Taha, A.& Nazmi, T. M.& Najati, K. A.. 2008. Retrieving of video scenes using Arabic closed-caption. International Journal of Intelligent Computing and Information Sciences،Vol. 8, no. 1.
https://search.emarefa.net/detail/BIM-284779
Modern Language Association (MLA)
Nassar, H. M.…[et al.]. Retrieving of video scenes using Arabic closed-caption. International Journal of Intelligent Computing and Information Sciences Vol. 8, no. 1 (Jan. 2008).
https://search.emarefa.net/detail/BIM-284779
American Medical Association (AMA)
Nassar, H. M.& Taha, A.& Nazmi, T. M.& Najati, K. A.. Retrieving of video scenes using Arabic closed-caption. International Journal of Intelligent Computing and Information Sciences. 2008. Vol. 8, no. 1.
https://search.emarefa.net/detail/BIM-284779
Data Type
Journal Articles
Language
English
Notes
21
Record ID
BIM-284779