  With the increasing popularity of E-sport live, Highlight Flashback has been
a critical functionality of live platforms, which aggregates the overall
exciting fighting scenes in a few seconds. In this paper, we introduce a novel
training strategy without any additional annotation to automatically generate
highlights for game video live. Considering that the existing manual edited
clips contain more highlights than long game live videos, we perform pair-wise
ranking constraints across clips from edited and long live videos. A
multi-stream framework is also proposed to fuse spatial, temporal as well as
audio features extracted from videos. To evaluate our method, we test on long
game live videos with an average length of about 15 minutes. Extensive
experimental results on videos demonstrate its satisfying performance on
highlights generation and effectiveness by the fusion of three streams.
