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Interactive Video Search: Where is the User in the Age of Deep Learning?

Published:15 October 2018Publication History

ABSTRACT

In this tutorial we discuss interactive video search tools and methods, review their need in the age of deep learning, and explore video and multimedia search challenges and their role as evaluation benchmarks in the field of multimedia information retrieval. We cover three different campaigns (TRECVID, Video Browser Showdown, and the Lifelog Search Challenge), discuss their goals and rules, and present their achieved findings over the last half-decade. Moreover, we talk about datasets, tasks, evaluation procedures, and examples of interactive video search tools, as well as how they evolved over the years. Participants of this tutorial will be able to gain collective insights from all three challenges and use them for focusing their research efforts on outstanding problems that still remain unsolved in this area.

References

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          cover image ACM Conferences
          MM '18: Proceedings of the 26th ACM international conference on Multimedia
          October 2018
          2167 pages
          ISBN:9781450356657
          DOI:10.1145/3240508

          Copyright © 2018 Owner/Author

          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

          Publication History

          • Published: 15 October 2018

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          MM '18 Paper Acceptance Rate209of757submissions,28%Overall Acceptance Rate995of4,171submissions,24%

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