The explosive growth of video on the internet calls for new ways of sorting and searching audiovisual content. A team of European researchers has developed a ground-breaking solution that is finding commercial applications.
Most video search technologies currently rely on semantic annotation in which videos have to be manually tagged with keywords so they can be found via a text-based search. As most YouTube users will attest, tagging one or two videos in this way is not particularly problematic. However, manually annotating thousands of clips, as content providers and media libraries regularly do, can be extremely time consuming and costly.
A faster alternative is to use software to automatically extract snippets of a video and create a unique identifier based on a variety of audiovisual features, such as scene, Continued at ScienceDaily.