Effective and Efficient Indexing for Large Video Databases

Abstract: 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, we transform a video clip into a set of probabilistic feature vectors (pfvs). In our case, a pfv corresponds to a Gaussian in the feature space of frames. We demonstrate that this representation is well suited for accurate video retrieval. The use of pfvs allows us to calculate confidence values for frames or sets of frames for being contained within a given video in the database. These confidence values can be employed to specify two types of queries. The first type of query retrieves the videos stored in the database which contain a given set of frames with a probability that...

• Type: Conference
• Year: 2007
• Where: BTW
• Authors: Christian Böhm, Peter Kunath, Alexey Pryakhin, Matthias Schubert
• Keywords: BTW 2007, Database, Probabilistic Feature Vectors, Video Clips, Video Retrieval