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

Klaus Schöffmann, W. Bailer, C. Gurrin, G. Awad, Jakub Lokoč
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引用次数: 7

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.
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我们涵盖了三个不同的活动(TRECVID,视频浏览器对决和生活日志搜索挑战),讨论了他们的目标和规则,并展示了他们在过去五年中取得的成果。此外,我们还讨论了数据集、任务、评估程序和交互式视频搜索工具的示例,以及它们多年来的发展情况。本教程的参与者将能够从这三个挑战中获得集体见解,并利用它们将研究工作集中在该领域尚未解决的突出问题上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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OSMO Session details: Multimodal-2 (Cross-Modal Translation) Pseudo Transfer with Marginalized Corrupted Attribute for Zero-shot Learning Session details: System-2 (Smart Multimedia Systems) ALERT
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