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A Framework for Soccer Video Processing and AnalysisBased on Enhanced Algorithm for Dominant Color Extraction
Youness TABII, Rachid Oulad Haj Thami
Pages - 131 - 142     |    Revised - 30-09-2009     |    Published - 21-10-2009
Volume - 3   Issue - 4    |    Publication Date - August 2009  Table of Contents
Video processing, Summary and Highlight, Finite state machine, Binarization, Text detection, OCR
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.
CITED BY (5)  
1 Mednis, M., Vilums, S., & Stalidzans, E. (2015). TraSe: Real-time two-dimensional ball tracking and control system. International Journal of Electrical Engineering Education, 0020720915611141.
2 Atmosukarto, I., Ghanem, B., Saadalla, M., & Ahuja, N. (2014). Recognizing Team Formation in American Football. In Computer Vision in Sports (pp. 271-291). Springer International Publishing.
3 Hasan, M. A., Lee, S. L., & Kim, D. H. (2012). Static Object-of-Interest Recognition from Video Streams for Effective Visualization in Small Hand-Held Displays. Advanced Science Letters, 9(1), 126-131.
4 WANG, X., JIA, J., YIN, J., WANG, Y., & CAI, L. Image Search by Modality Analysis: A Study of Color Semantics.
5 Lin, Y. W., Li, G. L., Chen, M. J., Yeh, C. H., & Huang, S. F. (2010). Repeat-Frame Selection Algorithm for Frame Rate Video Transcoding. International Journal of Image Processing (IJIP), 3(6), 341.
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ClaraOCR download website : http://www.claraocr.org
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Mr. Youness TABII
- Morocco
Mr. Rachid Oulad Haj Thami
- Morocco