一个基于深度学习的视频字幕框架,使用多模态特征

IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Expert Systems Pub Date : 2024-12-09 DOI:10.1111/exsy.13811
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引用次数: 0

摘要

撤回:S. Varma, D. P. James,“使用多模态特征的高效深度学习视频字幕框架”,专家系统(早期视图):e12920, https://doi.org/10.1111/exsy.12920。上述文章于2021年12月13日在线发表在Wiley在线图书馆(wileyonlinelibrary.com)上,经期刊主编David Camacho;约翰·威利&;子有限公司这篇文章是作为嘉宾编辑的特刊的一部分提交的。由于发现同行评议和出版过程被操纵,因此已同意撤回。此外,所描述的相应视频和数据集的来源仍然不确定。因此,这项研究不能被认为是可重复的。作者不同意撤稿。
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RETRACTION: An Efficient Deep Learning-based Video Captioning Framework Using Multi-modal Features

RETRACTION: S. Varma, D. P. James, “ An Efficient Deep Learning-based Video Captioning Framework Using Multi-modal Features,” Expert Systems (Early View): e12920, https://doi.org/10.1111/exsy.12920.

The above article, published online on 13 December 2021 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. The article was submitted as part of a guest-edited special issue. The retraction has been agreed on as the peer review and publishing process was found to be manipulated. Furthermore, the origin of the corresponding videos and datasets described remains uncertain. Accordingly, the research cannot be considered reproducible. The authors disagree with the retraction.

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来源期刊
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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