Non-sequential video structuring based on video object linking: an efficient tool for video browsing and indexing

An efficient system for unsupervised structuring of stereoscopic sequences is presented. It generates links between similar VOPs (video object planes) of different shots. Particularly after shot cut detection, for each shot, a fast, unsupervised VOP detection and tracking algorithm is applied. Then for each of the foreground VOPs of a frame, a feature vector is constructed using low level features of the VOP, such as color and size. Afterwards, for a given shot, key-VOP poses are extracted for each VOP, using an optimization method for locating VOP poses of minimally correlated feature vectors. Finally an iterative process is performed to link each key VOP of a shot to another, according to a correlation measure. Experimental results indicate the promising performance of the proposed system on real life stereoscopic video sequences