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Semantic Web-based Video Streaming Application
Journal Title International Journal of Emerging Technologies in Learning (iJET)
Journal Abbreviation i-jet
Publisher Group International Association of Online Engineering (IAOE)
Website http://online-journals.org
   
Title Semantic Web-based Video Streaming Application
Authors Ahmad, Ashraf M. A.; Abou El-Seoud, Samir
Abstract An efficient moving object extraction algorithm suitable for real-time content-based multimedia streaming systems is proposed in this paper. A Motion Vector (MV) based object extraction is used to dynamically detect the objects. To utilize the bandwidth efficiently, the important object can be real time detected, encoded, and transmitted with higher quality and higher frame rate than those of background. In order to meet the real-time requirement, no computationally intensive operation is included in this framework. Moreover, in order to guarantee the highest speed, all the implementation is operating on the compressed domain without need for decompression. Good extraction performance is demonstrated by the experiment results.
Publisher assel university press GmbH
Date 2008-06-10
Source 1863-0383
Rights The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
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