VIDEO QUERY - RESEARCH DIRECTIONS

As digital video databases become more and more pervasive, finding vid eo in large databases becomes a major problem, Because of the nature o f video (streamed objects), accessing the content of such databases is inherently a time-consuming operation. Enabling intelligent means of video retrieval and rapid video viewing through the processing, analys is, and interpretation of visual content are, therefore, important top ics of research, In this paper, we survey the art of video query and r etrieval and propose a framework for video-query formulation and video retrieval based on an iterated sequence of navigating, searching, bro wsing, and viewing, We describe how the rich information media of vide o in the forms of image, audio, and text can be appropriately used in each stage of the search process to retrieve relevant segments. Also, we address the problem of automatic video annotation-attaching meaning s to video segments to aid the query steps. Subsequently, we present a novel framework of structural video analysis that focuses on the proc essing of high-level features as well as low-level visual cues. This p rocessing augments the semantic interpretation of a wide variety of lo ng video segments and assists in the search, navigation, and retrieval of video. We describe several such techniques.