Abstract: We cluster information in a video by similarity, and sort them by occurrence frequency and by temporal variation frequency. Temporal invariants are defined as information with temporal variation frequencies are substantially zero. These invariants are shared along temporal dimension of videos for data compression, information gaining. We judge some of the invariants as background. Clustering also create structure in a videos. These clusters can be recognized from named objects, patterned relationship database and landscape database. With these recognized names and patterns, the structure of video can be serialized into natural language. Background from multiple videos can then be merged and concatenated into large continuous backgrounds. Large quantity of outdoor video can form a landscape database with moving objects and people been removed. Overlapping background from different time allows for high variant portion of the background been identified for Lost and Found and intelligence gathering application.

Abstract: Video projecting can be utilized to create an immersive environment in an typical living room, This environment can deliver immersive gaming, providing a new “in body” gaming experience, where avatar and the gamer merged as one, and extending from this merged one. For example, user can “breathing fire” to fill an environment with video of fire. This can be combined with environment control device to control temperature, moisture even scent of air to delivery multi-sense gaming experience.