Network-aware identification of video clip fragments

In this paper, we present a visual hash-based video identification system able to work under variable video encoding conditions, a common scenario in network-aware applications, and specifically targeted to the detection of partial appearances of videos. The algorithm extracts video entropy, and based on the resulting series, a set of intervals and frames for each interval are selected. The same exact intervals and frames can be repeatedly...