Fast Summarization of User-Generated Videos: Exploiting Semantic, Emotional, and Quality Clues.

This article introduces a novel approach for fast summarization of user-generated videos (UGVs). Different from other types of videos where the semantic content might vary greatly over time, most UGVs contain only a single shot with relatively consistent high-level semantics and emotional content. Therefore, a few representative segments, which can be selected based on segment-level semantic and e...