Research papers: abstract
Jane Fraser · 2008
In this paper, a new approach for key frame extraction for sports video summarization is presented. Our approach employs dominant value of shot volume and energy. For the dominant value of each shot audio energy corresponding video key frame is extracted. This key frame of each shot serves as accurate localization of the events on the field. This is applied to cricket, soccer and lawn tennis videos and the experimental results show our proposed method is promising. Abstract In this paper, a new video summarization approach for lawn tennis video is presented. The proposed method uses frame color histogram to classify video into play field color shots (PFCS) and non play field color shots (NPFCS). Play field color shots are the segments of interest and used to recognize the tournament class. A dominant colored frame from every PFCS is extracted as a salient frame. Our approach also employs dominant value of PFCS volume and energy. For the each PFCS dominant audio energy value is computed and corresponding key frame is extracted. On-screen text presented in play field color shots provides important semantic information so the last frame of the shot is extracted as key caption. Three key frames based on audio, visual and text information conveyed in every PFCS are extracted and summary of lawn tennis video is created. These key frames of every PFCS serve as accurate localization of the events on the lawn tennis field. Experiments are performed on lawn tennis videos to confirm the efficiency of the proposed method.