In this paper, an interactive object annotation approach for video database will be proposed. The same semantic objects such as characters, backgrounds, and the main subjects in keyframes of each video shots can be queried and annotated based on the similarity of low-level features such as the color, area, and position of each region. An adaptive image enhancement algorithm is used for handling the lighting changes, and a region-based fuzzy feature matching approach is used for addressing the typical feature representation impreciseness. The content provider can then select relevant keyframes interactively from the results to annotate matched objects in them according to the descriptions that are added into the model. Based on this approach, a video information system is proposed for supporting video content generation. Furthermore, a novel practical application is constructed by using this support system and implemented to show the practicability of it.