Today a considerable amount of video data in multimedia databases requires sophisticated
indices for its effective use. Manual indexing is the most effective method to do this, but it is …

A first step required to allow video indexing and retrieval of visual data is to perform a
temporal segmentation, that is, to find the location of camera-shot transitions, which can be …

A system and method are provided for supporting video browsing over a communication
network such as the Internet/World Wide Web. A graphical user interface is provided through …

Temporal texture accounts for a large proportion of motion commonly experienced in the
visual world. Current temporal texture techniques extract primarily motion-based features for …

In this paper we present a method for automatic motion and color based video indexing and
retrieval. Our system automatically splits a video into a sequence of shots and extracts a few …

Dynamic textures are sequences of images of moving scenes that exhibit certain stationarity
properties in time, for example, sea-waves, smoke, foliage, whirlwind etc. This work …

We propose two approaches for semantic indexing of audio-visual documents, based on
bottom-up and top-down strategies. We base the first approach on a finite-state machine …

A new approach for motion characterization in image sequences is presented. It relies on
the probabilistic modeling of temporal and scale co-occurrence distributions of local motion …

Non-annotated video is more common than ever and this fact leads to an emerging field
called video summarization. Key frame selection using motion analysis can greatly increase …

In the last years a lot of work has been done on color, textural, structural and semantic
indexing of" content-based" video databases. Motion-based video indexing has been less …