Finding relevant moments and highlights in videos according to natural language queries is
a natural and highly valuable common need in the current video content explosion era …

In video highlight detection, the goal is to identify the interesting moments within an unedited
video. Although the audio component of the video provides important cues for highlight …

Highlight detection has the potential to significantly ease video browsing, but existing
methods often suffer from expensive supervision requirements, where human viewers must …

We present a fully automatic system for ranking domain-specific highlights in unconstrained
personal videos by analyzing online edited videos. A novel latent linear ranking model is …

Video highlight detection can greatly simplify video browsing, potentially paving the way for
a wide range of applications. Existing efforts are mostly fully-supervised, requiring humans …

Video highlight detection plays an increasingly important role in social media content
filtering, however, it remains highly challenging to develop automated video highlight …

Watching sports videos over streaming sites and television network is one of the most
entertaining ways to engage with sports activities. Sports videos like cricket has been …

We address the weakly supervised video highlight detection problem for learning to detect
segments that are more attractive in training videos given their video event label but without …

Video summarization is a challenging under-constrained problem because the underlying
summary of a single video strongly depends on users' subjective understandings. Data …

Autonomous highlight detection is crucial for enhancing the efficiency of video browsing on
social media platforms. To attain this goal in a data-driven way, one may often face the …