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Video Summarization in the Deep Learning Era: Current Landscape and Future Directions

Published: 10 October 2022 Publication History

Abstract

In this talk we will provide an overview of the field of video summarization with a focus on the developments, the trends and the open challenges in the era of Deep Learning and Big Data. After a brief introduction to the problem, we will provide a broad taxonomy of the works in the area and the recent trends from multiple perspectives, including types of methodologies/architectures; supervision signals; and modalities. We will then present current datasets and evaluation protocols highlighting their limitations and challenges that are faced with respect to it. Finally, we will close by giving our perspective for the challenges in the field and for interesting future directions.

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  1. Video Summarization in the Deep Learning Era: Current Landscape and Future Directions

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      cover image ACM Conferences
      NarSUM '22: Proceedings of the 1st Workshop on User-centric Narrative Summarization of Long Videos
      October 2022
      36 pages
      ISBN:9781450394932
      DOI:10.1145/3552463
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

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      Published: 10 October 2022

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      1. big data
      2. deep learning
      3. video summarization

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