Affiliation:
1. National Sun Yat-sen University, Taiwan
Abstract
Recent developments in video content analysis contribute to the emergence of multimedia database management. With the rapid growth of digital videos, efficient tools are essential to facilitate content indexing, searching, retrieving, browsing, skimming, and summarization. Sport video analysis has attracted lots of research attention because of its entertainment applications and potential commercial benefits. Sport video analysis aims to identify what excites audiences. Previous methods rely mainly on video decomposition, using domain specific knowledge. Research on suitable and efficient techniques for sport video analysis has been conducted extensively over the last decade. However, several longstanding challenges, such as semantic gap and commercial detection, are still waiting to be resolved. This chapter reviews research on sport video analysis and investigates the potential applications and future trends of sport video analysis.
Reference36 articles.
1. Blum, D. W. (1992). Method and apparatus for identifying and eliminating specific material from video signals. (US patent 5,151,788).
2. Chang, P., Han, M., & Gong, Y. (2002). Extract highlights from baseball game video with hidden Markov models. International Conference on Image Processing, (pp. I-609-I-612).
3. Introduction to the special issue on MPEG-7
4. Visual information retrieval from large distributed online repositories
5. Chao, C. Y., Shih, H. C., & Huang, C. L. (2005). Semantics-based highlight extraction of soccer program using DBN. International Conference on Acoustics, Speech, and Signal Processing, (pp. 1057-1060).