Robust detection of key captions for sports video understanding

In sports videos, text information provides valuable game information such as scores, players, and so on. This text information plays an important role for sports video understanding, summarization, and retrieval. These texts which can be used for video highlight or content search are called key captions. In this paper, we provide a robust detection method of key captions in sports videos. We also provide a dual binarization method easily segmenting texts with different color polarities (i.e. dark and bright texts) from the background in the key captions. From this text information, we create the efficient sports navigation system. By conducting experiments on a large database, the system performance is demonstrated to be accurate and robust.