Furthermore, they usually provide sophisticated navigation features, such as advanced timelines,[5] visual seeker bars or a list of selected thumbnails, as well as means for content querying.
Examples of content queries are shot filtering through visual concepts (e.g., only shots showing cars), through some specific characteristics (e.g., color or motion filtering), through user-provided sketches (e.g., a visually drawn sketch), or through content-based similarity search.
By operating on compressed DCT representations, the algorithm significantly reduces the computational requirements for decompression and enables effective video browsing.
A variation of this concept was later adopted for QBIC video content mosaics, where each r-frame is a salient still from the shot it represents.
The main goal of the VBS, which started in 2012 at the International Conference on MultiMedia Modeling (MMM), is to advance the performance of video browsing tools.