In this paper, we propose a video shooting navigation system by real-time useful shot discrimination based on video grammar to support users shooting nice shots for later editing work. In this system, the processing speed must be very high so that we use a gray value projection method to extract the camerawork parameters in real-time. From the result of camerawork and gray value analysis, the shots are classified into 16 states and the system issues alarms and instructions about the usefulness and uselessness of the shots in real-time just after shooting the shot. Thereby, users can retake a shot necessary for later editing efficiently

Data mining is a technique to discover useful patterns or patterns of special interest as explicit knowledge from a vast quantity of data. In video editing, there are a lot of editing patterns. According to the editor's preferences, different editing patterns give the opportunity to achieve a variety of effects. Discovering the editing patterns is required, because it is useful to find each editor's skills and to use them for editing new video material. In this paper, we propose the methods of extracting editing rules from video stream by introducing data mining technique. We can edit a video material by applying the extracted rules. The edited video may produce the same quality as the video from which we extracted the patterns.