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| A Framework for Soccer Video Processing and AnalysisBased on Enhanced Algorithm for Dominant Color Extraction
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Full
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Source |
International Journal of Image Processing (IJIP) |
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Table of Contents |
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Download
Complete Issue PDF(5.39MB) |
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Volume: 3 Issue: 4 |
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Pages: 187-245 |
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Publication
Date: August 2009 |
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ISSN
(Online): 1985-2304 |
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Pages |
131 - 142 |
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Author(s) |
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Published
Date |
21-10-2009 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Video processing, Summary and Highlight, Finite state machine, Binarization, Text detection, OCR |
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| Video contents retrieval and semantics research attract very important number of researchers in video processing and analysis domain. The researchers tries to propose structure or frameworks to extract the content of the video that's integrate many algorithms using low and high level features. The framework will be efficient if it is very simple and integrate the generic behavior. In this paper we present a framework for automatic soccer video summaries and highlights extraction using audio/video features and an enhanced generic algorithm for dominant color extraction. |
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A. Ekin, A. M. Tekalp and R. Mehrotra. “Robust dominant color region detection with applications to sports video analysis”. In Proceedings of IEEE ICIP, vol. 1, pp. 21-24, 2003 |
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P. Xu, L. Xie, S. Chang, A. Divakaran, A. Vetro and H. Sun. “Algorithms and system for segmentation and structure analysis in soccer video,” In Proceedings of IEEE ICME, pp. 928- 931, 2001 |
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A. Hanjalic. “Adaptive extraction of highlights from a sport video based on excitement modeling”. IEEE Trans. on MultiMedia, pp. 1114-1122, 2005 |
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ClaraOCR download website : http://www.claraocr.org |
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| Youness TABII : Colleagues
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| Rachid Oulad Haj Thami : Colleagues
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