Shot2Story20K: A New Benchmark for Comprehensive Understanding of Multi-shot Videos

• URL: http://arxiv.org/abs/2312.10300v2
• Date: Tue, 19 Dec 2023 02:04:18 GMT
• Title: Shot2Story20K: A New Benchmark for Comprehensive Understanding of Multi-shot Videos
• Authors: Mingfei Han, Linjie Yang, Xiaojun Chang, Heng Wang
• Abstract summary: We present a new multi-shot video understanding benchmark Shot2Story20K with detailed shot-level captions and comprehensive video summaries. Preliminary experiments show some challenges to generate a long and comprehensive video summary.
• Score: 58.13927287437394
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: A short clip of video may contain progression of multiple events and an interesting story line. A human need to capture both the event in every shot and associate them together to understand the story behind it. In this work, we present a new multi-shot video understanding benchmark Shot2Story20K with detailed shot-level captions and comprehensive video summaries. To facilitate better semantic understanding of videos, we provide captions for both visual signals and human narrations. We design several distinct tasks including single-shot video and narration captioning, multi-shot video summarization, and video retrieval with shot descriptions. Preliminary experiments show some challenges to generate a long and comprehensive video summary. Nevertheless, the generated imperfect summaries can already significantly boost the performance of existing video understanding tasks such as video question-answering, promoting an under-explored setting of video understanding with detailed summaries.

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