In the research on video database, indexing video data is necessary for quick and correct retrieval. The most important process in indexing video data is to segment video into coherent units called scenes and more than just partial video that we call cuts. Manual segmentation is accurate but it takes a lot of time and requires background knowledge about the content of video. The purpose of our research is to segment video automatically by integrating color, textual and temporal information extracted from video.