A fast feature extraction algorithm for image and video processing
Medical images and videos are utilized to discover, diagnose and treat diseases. Managing, storing, and retrieving stored images effectively are considered important topics. The rapid growth of multimedia data, including medical images and videos, has caused a swift rise in data transmission volume...
| Main Authors: | , , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/78136/ http://psasir.upm.edu.my/id/eprint/78136/1/A%20fast%20feature%20extraction%20algorithm%20for%20image%20and%20video%20processing.pdf |
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| author | Abdulhussain, Sadiq H. Ramli, Abdul Rahman Mahmmod, Basheera M. Saripan, M. Iqbal Syed Mohamed, Syed Abdul Rahman Al-Haddad Baker, Thar Flayyih, Wameedh Nazar Jassim, Wissam A. |
| author_facet | Abdulhussain, Sadiq H. Ramli, Abdul Rahman Mahmmod, Basheera M. Saripan, M. Iqbal Syed Mohamed, Syed Abdul Rahman Al-Haddad Baker, Thar Flayyih, Wameedh Nazar Jassim, Wissam A. |
| author_sort | Abdulhussain, Sadiq H. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Medical images and videos are utilized to discover, diagnose and treat diseases. Managing, storing, and retrieving stored images effectively are considered important topics. The rapid growth of multimedia data, including medical images and videos, has caused a swift rise in data transmission volume and repository size. Multimedia data contains useful information; however, it consumes an enormous storage space. Therefore, high processing time for that sheer volume of data will be required. Image and video applications demand for reduction in computational cost (processing time) when extracting features. This paper introduces a novel method to compute transform coefficients (features) from images or video frames. These features are used to represent the local visual content of images and video frames. We compared the proposed method with the traditional approach of feature extraction using a standard image technique. Furthermore, the proposed method is employed for shot boundary detection (SBD) applications to detect transitions in video frames. The standard TRECVID 2005, 2006, and 2007 video datasets are used to evaluate the performance of the SBD applications. The achieved results show that the proposed algorithm significantly reduces the computational cost in comparison to the traditional method. |
| first_indexed | 2025-11-15T12:13:12Z |
| format | Conference or Workshop Item |
| id | upm-78136 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:13:12Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-781362020-06-15T01:49:41Z http://psasir.upm.edu.my/id/eprint/78136/ A fast feature extraction algorithm for image and video processing Abdulhussain, Sadiq H. Ramli, Abdul Rahman Mahmmod, Basheera M. Saripan, M. Iqbal Syed Mohamed, Syed Abdul Rahman Al-Haddad Baker, Thar Flayyih, Wameedh Nazar Jassim, Wissam A. Medical images and videos are utilized to discover, diagnose and treat diseases. Managing, storing, and retrieving stored images effectively are considered important topics. The rapid growth of multimedia data, including medical images and videos, has caused a swift rise in data transmission volume and repository size. Multimedia data contains useful information; however, it consumes an enormous storage space. Therefore, high processing time for that sheer volume of data will be required. Image and video applications demand for reduction in computational cost (processing time) when extracting features. This paper introduces a novel method to compute transform coefficients (features) from images or video frames. These features are used to represent the local visual content of images and video frames. We compared the proposed method with the traditional approach of feature extraction using a standard image technique. Furthermore, the proposed method is employed for shot boundary detection (SBD) applications to detect transitions in video frames. The standard TRECVID 2005, 2006, and 2007 video datasets are used to evaluate the performance of the SBD applications. The achieved results show that the proposed algorithm significantly reduces the computational cost in comparison to the traditional method. IEEE 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/78136/1/A%20fast%20feature%20extraction%20algorithm%20for%20image%20and%20video%20processing.pdf Abdulhussain, Sadiq H. and Ramli, Abdul Rahman and Mahmmod, Basheera M. and Saripan, M. Iqbal and Syed Mohamed, Syed Abdul Rahman Al-Haddad and Baker, Thar and Flayyih, Wameedh Nazar and Jassim, Wissam A. (2019) A fast feature extraction algorithm for image and video processing. In: International Joint Conference on Neural Networks (IJCNN 2019), 14-19 July 2019, Budapest, Hungary. (pp. 1-8). 10.1109/IJCNN.2019.8851750 |
| spellingShingle | Abdulhussain, Sadiq H. Ramli, Abdul Rahman Mahmmod, Basheera M. Saripan, M. Iqbal Syed Mohamed, Syed Abdul Rahman Al-Haddad Baker, Thar Flayyih, Wameedh Nazar Jassim, Wissam A. A fast feature extraction algorithm for image and video processing |
| title | A fast feature extraction algorithm for image and video processing |
| title_full | A fast feature extraction algorithm for image and video processing |
| title_fullStr | A fast feature extraction algorithm for image and video processing |
| title_full_unstemmed | A fast feature extraction algorithm for image and video processing |
| title_short | A fast feature extraction algorithm for image and video processing |
| title_sort | fast feature extraction algorithm for image and video processing |
| url | http://psasir.upm.edu.my/id/eprint/78136/ http://psasir.upm.edu.my/id/eprint/78136/ http://psasir.upm.edu.my/id/eprint/78136/1/A%20fast%20feature%20extraction%20algorithm%20for%20image%20and%20video%20processing.pdf |