A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization Methods

• URL: http://arxiv.org/abs/2406.02991v1
• Date: Wed, 5 Jun 2024 06:43:48 GMT
• Title: A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization Methods
• Authors: Ioannis Kontostathis, Evlampios Apostolidis, Vasileios Mezaris,
• Abstract summary: We introduce a new dataset for 360-degree video summarization: the transformation of 360-degree video content to concise 2D-video summaries. The dataset includes ground-truth human-generated summaries, that can be used for training and objectively evaluating 360-degree video summarization methods.
• Score: 6.076406622352117
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this paper we introduce a new dataset for 360-degree video summarization: the transformation of 360-degree video content to concise 2D-video summaries that can be consumed via traditional devices, such as TV sets and smartphones. The dataset includes ground-truth human-generated summaries, that can be used for training and objectively evaluating 360-degree video summarization methods. Using this dataset, we train and assess two state-of-the-art summarization methods that were originally proposed for 2D-video summarization, to serve as a baseline for future comparisons with summarization methods that are specifically tailored to 360-degree video. Finally, we present an interactive tool that was developed to facilitate the data annotation process and can assist other annotation activities that rely on video fragment selection.

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