Lower attentive region detection for virtual content insertion in broadcast video

Virtual Content Insertion (VCI) is an emerging application of video analysis. For VCI the spatial position is very important as improper placement will make the insertion intrusive. To choose the spatial position, we propose the notation of Lower Attentive Region (LAR) and provide a generic framework of LAR detection for broadcast video. An LAR is defined, from the cognition point of view, as a region of the video frame which attracts less audiencepsilas attention. It can be changed with little interruption to the main content of the original video. The proposed LAR detection framework includes both bottom-up and top-down modules and can be adapted to all types of videos. Finally we apply the proposed LAR detection approach to broadcast sports video by integrating domain knowledge. The Experiments on LAR detection and VCI in broadcast video demonstrate the effectiveness of the proposed method.