Caption insertion method for 3D broadcasting service

In this paper, we present a new caption insertion method for three-dimensional (3D) broadcasting service. Caption insertion technique for broadcasting service is very important because the caption emphasizes significant information during a broadcasting program and can help the hearing impairment people. In recent years, some caption insertion method has been proposed for 3D broadcasting called next generation broadcasting service. However, recently proposed caption insertion methods possess problems such as the visual discomfort during the disparity of 3D caption. To solve this problem, we propose a new caption insertion method by using histogram based K-means clustering based on depth image based rendering (DIBR). Through the proposed method, visual discomfort during the disparity of 3D caption can be relieved. Furthermore, proposed method provides selectivity of caption disparity for various user viewing environments by using clustering technique. Experimental results show the contents with the proposed 3D caption insertion method.