A New Approach for Evaluating Movie Summarization
George Awad, Keith Curtis · 2023
An important need in many situations involving video collections (archive video search/reuse, personal video organization/search, movies, tv shows, etc.) is to summarize the video in order to reduce the size and concentrate the amount of high value information in the video track. The Movie Summarization (MSUM) track in the annual TRECVID (TREC Video Retrieval Evaluation) benchmark was proposed to evaluate automatic systems working on the movie summarization domain. This track used a licensed movie dataset from Kinolorberedu, in which the goal is to summarize the storylines and roles of specific characters during a full movie. The goal of this track is twofold: Efficiently capture important facts about certain persons during their role in the movie storyline, and assess how well video summarization and textual summarization compare in this domain.