Spatiotemporal indexing of video in the wavelet domain

Automatic video indexing is an important feature in video database applications. Several techniques have appeared in recent literature for detecting object motion and camera operations present in a video. However, most of these techniques operate in the spatial domain. Since, video is likely to be stored in compressed form, it is crucial to deep detection techniques which can operate on the compressed data. Wavelet transform has recently emerged as a powerful tool for efficient compression and indexing. In this paper, we present a technique for temporal indexing using multiresolution motion vectors in a wavelet framework. We note that several approaches for indexing the spatial content of video have already been proposed in the literature. A combination of spatial and temporal indices constitutes a spatio-temporal index of video in the wavelet domain.