Browsing by Author "Ahmad, Ashraf M. A."

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A NOVEL OBJECT DETECTION TECHNIQUE IN COMPRESSED DOMAIN
(2006-01-01)
Ahmad, Ashraf M. A.
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資訊工程學系
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Department of Computer Science
In this paper we propose a novel approach for robust motion vector based object detection in MPEG-1 video streams. By processing the extracted motion vector fields that are directly extracted from MPEG-1 video streams in the compressed domain, through our proposed system, in order to reduce the noise within the motion vector content, obtain more robust object information, and refine this information. As a result, the object detection algorithm is more capable of accurately detecting objects with more efficient performance.
FAST AND ROBUST OBJECT SEGMENTATION APPROACH FOR MPEG VIDEOS
(2006-01-01)
Ahmad, Ashraf M. A.
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資訊工程學系
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Department of Computer Science
In this paper we propose an efficient approach for Motion Vector (MV) based object detection in MPEG-1 video streams. Based on experimental results performed over the MPEG testing dataset and measuring performance using the standard recall and precision metrics for perceptual performance, and run time metric for efficiency performance. Our approach is remarkably superior to the alternative techniques. in addition to these results, we describe a user system interface that we developed, where users can maintain the configurations interactively.
Multimedia content and the semantic web: Methods, standards and tools.
(2007-02-01)
Ahmad, Ashraf M. A.
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交大名義發表
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National Chiao Tung University