Sciweavers

Share
SPIESR
2003

Automatic Soccer Video Analysis and Summarization

9 years 12 months ago
Automatic Soccer Video Analysis and Summarization
Abstract—We propose a fully automatic and computationally efficient framework for analysis and summarization of soccer videos using cinematic and object-based features. The proposed framework includes some novel low-level soccer video processing algorithms, such as dominant color region detection, robust shot boundary detection, and shot classification, as well as some higher-level algorithms for goal detection, referee detection, and penalty-box detection. The system can output three types of summaries: i) all slow-motion segments in a game, ii) all goals in a game, and iii) slow-motion segments classified according to object-based features. The first two types of summaries are based on cinematic features only for speedy processing, while the summaries of the last type contain higher-level semantics. The proposed framework is efficient, effective, and robust for soccer video processing. It is efficient in the sense that there is no need to compute object-based features when cinemati...
Ahmet Ekin, A. Murat Tekalp
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2003
Where SPIESR
Authors Ahmet Ekin, A. Murat Tekalp
Comments (0)
books