A framework for dynamic restructuring of semantic video analysis systems based on learning attention control ?
A framework is proposed to restructure an initial video analysis system dynamically. The initial structure of the system must be hierarchical containing some units. The framework imposes a learning-based dynamic feature selection method on each unit. The system learns how to direct attention to the informative units to achieve a goal. The framework is tested for goal and card event detection in broadcast soccer videos.
semantic video analysis attention control event detection broadcast soccer video q-learning