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IEEE Transactions on Multimedia Template

Write in a clean editor, then format for IEEE Transactions on Multimedia in one click — DocuGuru applies the official IEEE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the IEEE Transactions on Multimedia format

IEEE Transactions on Multimedia is a peer-reviewed journal published by IEEE, covering Advanced Image and Video Retrieval Techniques, Video Analysis and Summarization, Multimodal Machine Learning Applications. Over its lifetime it has published 8,057 papers, which have received 258,381 citations.

PublisherIEEE
Reference styleNumbered (IEEE)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Multimedia, vol. 12, no. 3, pp. 45–58, 2023.

Formats any DOI in IEEE Transactions on Multimedia style. No sign-up.

Abbreviation (ISO-4)TMM
Publishes research inAdvanced Image and Video Retrieval Techniques Video Analysis and Summarization Multimodal Machine Learning Applications Advanced Vision and Imaging Image and Video Quality Assessment
ISSN1520-9210
Citation impact (2-yr)4.95
h-index194
i10-index4,450
Top institutions publishing hereChinese Academy of Sciences
Journal websiteieeexplore.ieee.org
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in IEEE Transactions on Multimedia per year

245
2014
283
2015
355
2016
392
2017
306
2018
360
2019
452
2020
440
2021
542
2022
655
2023
543
2024
723
2025

Citation impact of IEEE Transactions on Multimedia by publication year

9.4K
2014
11.4K
2015
14.4K
2016
16.8K
2017
15.6K
2018
18.2K
2019
18.6K
2020
18.7K
2021
17.3K
2022
15.6K
2023
7.1K
2024
2.3K
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in IEEE Transactions on Multimedia

Arbitrary-Oriented Scene Text Detection via Rotation Proposals

Jianqi Ma, Weiyuan Shao, Hao Ye et al. · 23 Mar 2018

This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Rotation Region Proposal Networks</i> , which are designed to generate inclined proposals with text orientation angle information. The angle information is then adapted for bounding box regression to make the proposals more accurately fit into…

1,239 citations Cite SaveGo to paper →
Deep Learning for Single Image Super-Resolution: A Brief Review

Wenming Yang, Xuechen Zhang, Yapeng Tian et al. · 28 May 2019

Single image super-resolution (SISR) is a notoriously challenging ill-posed problem that aims to obtain a high-resolution output from one of its low-resolution versions. Recently, powerful deep learning algorithms have been applied to SISR and have achieved state-of-the-art performance. In this survey, we review representative deep learning-based SISR methods and group them into two categories according…

1,169 citations Cite SaveGo to paper →
StrongSORT: Make DeepSORT Great Again

Yunhao Du, Zhicheng Zhao, Yang Song et al. · 1 Jan 2023

Recently, Multi-Object Tracking (MOT) has attracted rising attention, and accordingly, remarkable progresses have been achieved. However, the existing methods tend to use various basic models (e.g, detector and embedding model), and different training or inference tricks, etc. As a result, the construction of a good baseline for a fair comparison is essential. In this paper,…

1,030 citations Cite SaveGo to paper →
An SVD-based watermarking scheme for protecting rightful ownership

Ruizhen Liu, Tieniu Tan · 1 Mar 2002

Digital watermarking has been proposed as a solution to the problem of copyright protection of multimedia documents in networked environments. There are two important issues that watermarking algorithms need to address. First, watermarking schemes are required to provide trustworthy evidence for protecting rightful ownership. Second, good watermarking schemes should satisfy the requirement of robustness and…

A Measurement Study of a Large-Scale P2P IPTV System

Xiaojun Hei, Chao Liang, Jian Liang et al. · 21 Nov 2007

An emerging Internet application, IPTV, has the potential to flood Internet access and backbone ISPs with massive amounts of new traffic. Although many architectures are possible for IPTV video distribution, several mesh-pull P2P architectures have been successfully deployed on the Internet. In order to gain insights into mesh-pull P2P IPTV systems and the traffic loads…

IEEE Transactions on Multimedia template — frequently asked questions

How do I write a paper in the IEEE Transactions on Multimedia format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the IEEE Transactions on Multimedia template. When you export, DocuGuru compiles the paper into the official IEEE format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does IEEE Transactions on Multimedia use?
IEEE Transactions on Multimedia uses Numbered (IEEE) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Multimedia, vol. 12, no. 3, pp. 45–58, 2023.
Do I need to know LaTeX to submit to IEEE Transactions on Multimedia?
No. DocuGuru generates the IEEEtran LaTeX class and compiles the PDF for you in the background, so you get a IEEE-ready IEEE Transactions on Multimedia document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the IEEE Transactions on Multimedia template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the IEEE Transactions on Multimedia format with correct headings, figures, tables, and numbered citations.
Who publishes IEEE Transactions on Multimedia?
IEEE Transactions on Multimedia is a engineering and computer science journal published by IEEE. DocuGuru's IEEE Transactions on Multimedia template matches IEEE's official submission format.
Can I export a submission-ready IEEE Transactions on Multimedia PDF?
Yes — DocuGuru produces a PDF built with the official IEEE Transactions on Multimedia template (the IEEEtran class) that is ready to submit to IEEE, together with the matching LaTeX source files.
How much does the IEEE Transactions on Multimedia template cost?
You can start writing in the IEEE Transactions on Multimedia template for free. Exporting the final submission-ready IEEE Transactions on Multimedia PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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