Automatic video annotation framework using concept detectors
Automatic video annotation has received a great deal of attention from researchers working on video retrieval. This study presents a novel automatic video annotation framework to enhance the annotation accuracy and reduce the processing time in large-scale video data by utilizing semantic concepts....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Network for Scientific Information
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43900/ http://psasir.upm.edu.my/id/eprint/43900/1/Automatic%20video%20annotation%20framework%20using%20concept%20detectors.pdf |
| _version_ | 1848850353617895424 |
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| author | Chamasemani, Fereshteh Falah Affendey, Lilly Suriani Mustapha, Norwati Khalid, Fatimah |
| author_facet | Chamasemani, Fereshteh Falah Affendey, Lilly Suriani Mustapha, Norwati Khalid, Fatimah |
| author_sort | Chamasemani, Fereshteh Falah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Automatic video annotation has received a great deal of attention from researchers working on video retrieval. This study presents a novel automatic video annotation framework to enhance the annotation accuracy and reduce the processing time in large-scale video data by utilizing semantic concepts. The proposed framework consists of three main modules i.e., pre-processing, video analysis and annotation module. The framework support an efficient search and retrieval for any video content analysis and video archive applications. The experimental results on widely used TRECVID dataset using concepts of Columbia374 demonstrate the effectiveness of the proposed framework in assigning appropriate and semantically representative annotations for any new video. |
| first_indexed | 2025-11-15T10:04:57Z |
| format | Article |
| id | upm-43900 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:04:57Z |
| publishDate | 2015 |
| publisher | Asian Network for Scientific Information |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-439002016-10-27T09:00:43Z http://psasir.upm.edu.my/id/eprint/43900/ Automatic video annotation framework using concept detectors Chamasemani, Fereshteh Falah Affendey, Lilly Suriani Mustapha, Norwati Khalid, Fatimah Automatic video annotation has received a great deal of attention from researchers working on video retrieval. This study presents a novel automatic video annotation framework to enhance the annotation accuracy and reduce the processing time in large-scale video data by utilizing semantic concepts. The proposed framework consists of three main modules i.e., pre-processing, video analysis and annotation module. The framework support an efficient search and retrieval for any video content analysis and video archive applications. The experimental results on widely used TRECVID dataset using concepts of Columbia374 demonstrate the effectiveness of the proposed framework in assigning appropriate and semantically representative annotations for any new video. Asian Network for Scientific Information 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43900/1/Automatic%20video%20annotation%20framework%20using%20concept%20detectors.pdf Chamasemani, Fereshteh Falah and Affendey, Lilly Suriani and Mustapha, Norwati and Khalid, Fatimah (2015) Automatic video annotation framework using concept detectors. Journal of Applied Sciences, 15 (2). pp. 256-263. ISSN 1812-5654; ESSN: 1812-5662 http://www.scialert.net/qredirect.php?doi=jas.2015.256.263&linkid=pdf 10.3923/jas.2015.256.263 |
| spellingShingle | Chamasemani, Fereshteh Falah Affendey, Lilly Suriani Mustapha, Norwati Khalid, Fatimah Automatic video annotation framework using concept detectors |
| title | Automatic video annotation framework using concept detectors |
| title_full | Automatic video annotation framework using concept detectors |
| title_fullStr | Automatic video annotation framework using concept detectors |
| title_full_unstemmed | Automatic video annotation framework using concept detectors |
| title_short | Automatic video annotation framework using concept detectors |
| title_sort | automatic video annotation framework using concept detectors |
| url | http://psasir.upm.edu.my/id/eprint/43900/ http://psasir.upm.edu.my/id/eprint/43900/ http://psasir.upm.edu.my/id/eprint/43900/ http://psasir.upm.edu.my/id/eprint/43900/1/Automatic%20video%20annotation%20framework%20using%20concept%20detectors.pdf |