A New Approach for Evaluating Movie Summarization

George Awad, Keith Curtis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationNarSUM 2023 - Proceedings of the 2nd Workshop on User-centric Narrative Summarization of Long Videos, Co-located with
Subtitle of host publicationMM 2023
PublisherAssociation for Computing Machinery, Inc
Pages9-15
Number of pages7
ISBN (Electronic)9798400702778
DOIs
Publication statusPublished - 29 Oct 2023
Event2nd Workshop on User-centric Narrative Summarization of Long Videos, NarSUM 2023, held in conjunction with the 31st ACM International Conference on Multimedia, ACM Multimedia 2023 - Ottawa, Canada
Duration: 29 Oct 2023 → …

Publication series

NameNarSUM 2023 - Proceedings of the 2nd Workshop on User-centric Narrative Summarization of Long Videos, Co-located with: MM 2023

Conference

Conference2nd Workshop on User-centric Narrative Summarization of Long Videos, NarSUM 2023, held in conjunction with the 31st ACM International Conference on Multimedia, ACM Multimedia 2023
Country/TerritoryCanada
CityOttawa
Period29/10/23 → …

Keywords

  • information retrieval
  • movie summarization
  • multimedia
  • multimodal interaction
  • video summarization
  • video understanding

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