Effective and Efficient Indexing for Large Video Databases

Content based multimedia retrieval is an important topic in database systems. An emerging and challenging topic in this area is the content based search in video data. A video clip can be considered as a sequence of images or frames. Since this representation is too complex to facilitate efficient video retrieval, a video clip is often summarized by a more concise feature representation. In this paper, the authors transform a video clip into a set of probabilistic feature vectors (pfvs). In their case, a pfv corresponds to a Gaussian in the feature space of frames.