A Modular Approach for Multimodal Summarization of TV Shows

arXiv:2403.03823v1 Announce Type: new
Abstract: In this paper we address the task of summarizing television shows, which touches key areas in AI research: complex reasoning, multiple modalities, and long narratives. We present a modular approach where separate components perform specialized sub-tasks which we argue affords greater flexibility compared to end-to-end methods. Our modules involve detecting scene boundaries, reordering scenes so as to minimize the number of cuts between different events, converting visual information to text, summarizing the dialogue in each …

abstract ai research arxiv components cs.cl flexibility key modular multimodal multiple paper reasoning research shows summarization summarizing tasks television type