|Title||A semi-parametric approach for football video annotation|
|Authors||Mentzelopoulos, M., Psarrou, A., Angelopoulou, A. and Garcia-Rodriguez, J.|
Automatic sports video segmentation is a fast growth area of research in the visual information retrieval field. This paper presents a semi-parametric algorithm for parsing football video structures. The approach works on a two interleaved based process that closely collaborate towards a common goal. The core part of the proposed method focus performs a fast automatic football video annotation by looking at the enhance entropy variance within a series of shot frames. The entropy is extracted on the Hue parameter from the HSV color system, not as a global feature but in spatial domain to identify regions within a shot that will characterize a certain activity within the shot period. The second part of the algorithm works towards the identification of dominant color regions that could represent players and playfield for further activity recognition. Experimental results shows that the proposed football video segmentation algorithm performs with high accuracy.
|Keywords||entropy, image colour analysis, image segmentation, sport, video processing|
|Conference||International Joint Conference on Neural Networks (IJCNN)|
|Book title||The 2013 International Joint Conference on Neural Networks (IJCNN)|
|Digital Object Identifier (DOI)||https://doi.org/10.1109/IJCNN.2013.6706720|