Example of IEEE Transactions on Multimedia format

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IEEE Transactions on Multimedia — Template for authors

Publisher: IEEE

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Guideline source

Categories	Rank	Trend in last 3 yrs
Media Technology	#1 of 61	up by 2 ranks
Computer Science Applications	#29 of 693	up by 7 ranks
Electrical and Electronic Engineering	#37 of 693	up by 13 ranks
Signal Processing	#9 of 108	up by 1 rank

Journal quality:

High

Last 4 years overview: 968 Published Papers | 12447 Citations

Indexed in: Scopus

Last updated: 29/06/2020

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Insights

General info

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High

CiteRatio: 6.7

SJR: 0.534

SNIP: 1.463

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CiteRatio: 5.5

SJR: 0.502

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CiteRatio: 6.4

SJR: 0.786

SNIP: 2.027

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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

6.051

11% from 2018

Impact factor for IEEE Transactions on Multimedia from 2016 - 2019
Year	Value
2019	6.051
2018	5.452
2017	3.977
2016	3.509

Graph view

12.9

17% from 2019

CiteRatio for IEEE Transactions on Multimedia from 2016 - 2020
Year	Value
2020	12.9
2019	11.0
2018	9.3
2017	7.8
2016	8.1

Graph view

Insights

Impact factor of this journal has increased by 11% in last year.
This journal’s impact factor is in the top 10 percentile category.

Insights

CiteRatio of this journal has increased by 17% in last years.
This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.218

35% from 2019

SJR for IEEE Transactions on Multimedia from 2016 - 2020
Year	Value
2020	1.218
2019	1.884
2018	1.222
2017	0.954
2016	1.298

Graph view

2.68

6% from 2019

SNIP for IEEE Transactions on Multimedia from 2016 - 2020
Year	Value
2020	2.68
2019	2.839
2018	3.016
2017	2.302
2016	2.536

Graph view

Insights

SJR of this journal has decreased by 35% in last years.
This journal’s SJR is in the top 10 percentile category.

Insights

SNIP of this journal has decreased by 6% in last years.
This journal’s SNIP is in the top 10 percentile category.

Guideline source: View

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IEEE

IEEE Transactions on Multimedia

IEEE Transactions on Multimedia covers the breadth of research in multimedia technology and applications, including: circuits, algorithms and architectures, software design, synchronization, joint processing of multimedia/multimodal signals/data, compression, storage, retrieval, networking, multi-modality devices/ systems. Read Less

Engineering

Last updated on	28 Jun 2020
ISSN	1520-9210
Impact Factor	High - 2.897
Open Access	No
Sherpa RoMEO Archiving Policy	Green
Plagiarism Check	Available via Turnitin
Endnote Style	Download Available
Bibliography Name	IEEEtran
Citation Type	Numbered [25]
Bibliography Example	C. W. J. Beenakker, “Specular andreev reflection in graphene,” Phys. Rev. Lett., vol. 97, no. 6, p.

Top papers written in this journal

Open access • Journal Article • DOI: 10.1109/TMM.2007.907451 •

A Measurement Study of a Large-Scale P2P IPTV System

Xiaojun Hei, Chao Liang¹, •

01 Dec 2007 - IEEE Transactions on Multimedia

Abstract:

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 mes... 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 they place on ISPs, we have undertaken an in-depth measurement study of one of the most popular IPTV systems, namely, PPLive. We have developed a dedicated PPLive crawler, which enables us to study the global characteristics of the mesh-pull PPLive system. We have also collected extensive packet traces for various different measurement scenarios, including both campus access networks and residential access networks. The measurement results obtained through these platforms bring important insights into P2P IPTV systems. Specifically, our results show the following. 1) P2P IPTV users have the similar viewing behaviors as regular TV users. 2) During its session, a peer exchanges video data dynamically with a large number of peers. 3) A small set of super peers act as video proxy and contribute significantly to video data uploading. 4) Users in the measured P2P IPTV system still suffer from long start-up delays and playback lags, ranging from several seconds to a couple of minutes. Insights obtained in this study will be valuable for the development and deployment of future P2P IPTV systems. read more

Topics:

IPTV (59%)59% related to the paper, Internet traffic (52%)52% related to the paper, The Internet (52%)52% related to the paper,

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1,070 Citations

Open access • Journal Article • DOI: 10.1109/TMM.2018.2818020 •

Arbitrary-Oriented Scene Text Detection via Rotation Proposals

Jianqi Ma¹, Weiyuan Shao², •

23 Mar 2018 - IEEE Transactions on Multimedia

Abstract:

This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the Rotation Region Proposal Networks , which are designed to generate inclined proposals with text orientation angle information. The angle information is then adapted for bounding box regression t... This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the Rotation Region Proposal Networks , 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 the text region in terms of the orientation. The Rotation Region-of-Interest pooling layer is proposed to project arbitrary-oriented proposals to a feature map for a text region classifier. The whole framework is built upon a region-proposal-based architecture, which ensures the computational efficiency of the arbitrary-oriented text detection compared with previous text detection systems. We conduct experiments using the rotation-based framework on three real-world scene text detection datasets and demonstrate its superiority in terms of effectiveness and efficiency over previous approaches. read more

Topics:

Minimum bounding box (52%)52% related to the paper

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1,002 Citations

Journal Article • DOI: 10.1109/6046.985560 •

An SVD-based watermarking scheme for protecting rightful ownership

Ruizhen Liu, Tieniu Tan¹ •

01 Mar 2002 - IEEE Transactions on Multimedia

Abstract:

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.... 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 resist distortions due to common image manipulations (such as filtering, compression, etc.). In this paper, we propose a novel watermarking algorithm based on singular value decomposition (SVD). Analysis and experimental results show that the new watermarking method performs well in both security and robustness. read more

Topics:

Digital Watermarking Alliance (74%)74% related to the paper, Digital watermarking (62%)62% related to the paper, Copy protection (51%)51% related to the paper

978 Citations

Journal Article • DOI: 10.1109/TMM.2005.864313 •

Rate-distortion optimized streaming of packetized media

Philip A. Chou¹, Zhourong Miao •

01 Apr 2006 - IEEE Transactions on Multimedia

Abstract:

This paper addresses the problem of streaming packetized media over a lossy packet network in a rate-distortion optimized way. We show that although the data units in a media presentation generally depend on each other according to a directed acyclic graph, the problem of rate-distortion optimized streaming of an entire prese... This paper addresses the problem of streaming packetized media over a lossy packet network in a rate-distortion optimized way. We show that although the data units in a media presentation generally depend on each other according to a directed acyclic graph, the problem of rate-distortion optimized streaming of an entire presentation can be reduced to the problem of error-cost optimized transmission of an isolated data unit. We show how to solve the latter problem in a variety of scenarios, including the important common scenario of sender-driven streaming with feedback over a best-effort network, which we couch in the framework of Markov decision processes. We derive a fast practical algorithm for nearly optimal streaming in this scenario, and we derive a general purpose iterative descent algorithm for locally optimal streaming in arbitrary scenarios. Experimental results show that systems based on our algorithms have steady-state gains of 2-6 dB or more over systems that are not rate-distortion optimized. Furthermore, our systems essentially achieve the best possible performance: the operational distortion-rate function of the source at the capacity of the packet erasure channel. read more

Topics:

Packet erasure channel (55%)55% related to the paper, Network packet (53%)53% related to the paper, Rate–distortion theory (52%)52% related to the paper,

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736 Citations

Open access • Journal Article • DOI: 10.1109/TMM.2017.2759508 •

Scale-Aware Fast R-CNN for Pedestrian Detection

Jianan Li¹, Xiaodan Liang², •

01 Apr 2018 - IEEE Transactions on Multimedia

Abstract:

In this paper, we consider the problem of pedestrian detection in natural scenes. Intuitively, instances of pedestrians with different spatial scales may exhibit dramatically different features. Thus, large variance in instance scales, which results in undesirable large intracategory variance in features, may severely hurt th... In this paper, we consider the problem of pedestrian detection in natural scenes. Intuitively, instances of pedestrians with different spatial scales may exhibit dramatically different features. Thus, large variance in instance scales, which results in undesirable large intracategory variance in features, may severely hurt the performance of modern object instance detection methods. We argue that this issue can be substantially alleviated by the divide-and-conquer philosophy. Taking pedestrian detection as an example, we illustrate how we can leverage this philosophy to develop a Scale-Aware Fast R-CNN (SAF R-CNN) framework. The model introduces multiple built-in subnetworks which detect pedestrians with scales from disjoint ranges. Outputs from all of the subnetworks are then adaptively combined to generate the final detection results that are shown to be robust to large variance in instance scales, via a gate function defined over the sizes of object proposals. Extensive evaluations on several challenging pedestrian detection datasets well demonstrate the effectiveness of the proposed SAF R-CNN. Particularly, our method achieves state-of-the-art performance on Caltech [P. Dollar, C. Wojek, B. Schiele, and P. Perona, “Pedestrian detection: An evaluation of the state of the art,” IEEE Trans. Pattern Anal. Mach. Intell. , vol. 34, no. 4, pp. 743–761, Apr. 2012], and obtains competitive results on INRIA [N. Dalal and B. Triggs, “Histograms of oriented gradients for human detection,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , 2005, pp. 886–893], ETH [A. Ess, B. Leibe, and L. V. Gool, “Depth and appearance for mobile scene analysis,” in Proc. Int. Conf. Comput. Vis ., 2007, pp. 1–8], and KITTI [A. Geiger, P. Lenz, and R. Urtasun, “Are we ready for autonomous driving? The KITTI vision benchmark suite,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit ., 2012, pp. 3354–3361]. read more

Topics:

Pedestrian detection (51%)51% related to the paper

716 Citations

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IEEE Transactions on Multimedia format uses IEEEtran citation style.

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Frequently asked questions

1. Can I write IEEE Transactions on Multimedia in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the IEEE Transactions on Multimedia guidelines and auto format it.

2. Do you follow the IEEE Transactions on Multimedia guidelines?

Yes, the template is compliant with the IEEE Transactions on Multimedia guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in IEEE Transactions on Multimedia?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the IEEE Transactions on Multimedia citation style.

4. Can I use the IEEE Transactions on Multimedia templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for IEEE Transactions on Multimedia.

5. Can I use a manuscript in IEEE Transactions on Multimedia that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper IEEE Transactions on Multimedia that you can download at the end.

6. How long does it usually take you to format my papers in IEEE Transactions on Multimedia?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in IEEE Transactions on Multimedia.

7. Where can I find the template for the IEEE Transactions on Multimedia?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Multimedia's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the IEEE Transactions on Multimedia's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. IEEE Transactions on Multimedia an online tool or is there a desktop version?

SciSpace's IEEE Transactions on Multimedia is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like IEEE Transactions on Multimedia?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like IEEE Transactions on Multimedia?”

11. What is the output that I would get after using IEEE Transactions on Multimedia?

After writing your paper autoformatting in IEEE Transactions on Multimedia, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is IEEE Transactions on Multimedia's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for IEEE Transactions on Multimedia?

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for IEEE Transactions on Multimedia. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour	Archiving policy
Green	Can archive pre-print and post-print or publisher's version/PDF
Blue	Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow	Can archive pre-print (ie pre-refereeing)
White	Archiving not formally supported

FYI:

Pre-prints as being the version of the paper before peer review and
Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In IEEE Transactions on Multimedia?

The 5 most common citation types in order of usage for IEEE Transactions on Multimedia are:.

S. No.	Citation Style Type
1.	Author Year
2.	Numbered
3.	Numbered (Superscripted)
4.	Author Year (Cited Pages)
5.	Footnote

15. How do I submit my article to the IEEE Transactions on Multimedia?

16. Can I download IEEE Transactions on Multimedia in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in IEEE Transactions on Multimedia Endnote style according to Elsevier guidelines.

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IEEE Transactions on Multimedia — Template for authors

Related Journals

Journal Performance & Insights

Impact Factor

CiteRatio

6.051

12.9

Insights

Insights

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

1.218

2.68

Insights

Insights

IEEE Transactions on Multimedia

Top papers written in this journal

Abstract:

Topics:

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What to expect from SciSpace?

Speed and accuracy over MS Word

Plagiarism Reports via Turnitin

Freedom from formatting guidelines

Easy support from all your favorite tools

Frequently asked questions

Fast and reliable, built for complaince.

No word template required

Verifed journal formats

Trusted by academicians

Fast and reliable,
built for complaince.