Systems For Video Technology Research Articles

Guest Editorial Special Section on Learning With Multimodal Data for Biomedical Informatics

In this Special Section of the IEEE Transactions on Circuits and Systems for Video Technology, it is our honor to present emerging advanced machine learning and data analytics algorithms aiming at catalyzing synergies among image/video processing, text/speech understanding, and multimodal learning in biomedical informatics. Our goals are to 1) introduce novel data-driven models to accelerate knowledge discovery in biomedicine through the seamless integration of medical data collected from imaging systems, laboratory and wearable devices, as well as other related medical devices; 2) promote the development of new multi-modal learning systems to enhance the healthcare quality and patient safety; and 3) promote new applications in biomedical informatics that can leverage or benefits from the integration of multi-modal data and machine learning.

Guest Editorial Introduction to the Special Section on the VVC Standard

In this Special Section of the IEEE Transactions on Circuits and Systems for Video Technology, it is our honor to introduce the Versatile Video Coding (VVC) standard, the latest of the historic partnership collaborations between the International Telecommunication Union Telecommunication Standardization Sector (ITU-T), the International Organization for Standardization (ISO), and the International Electrotechnical Commission (IEC) in the field of video coding standardization.

Rebuttal: On the Security of Reversible Data Hiding in Encrypted Images by MSB Prediction

Prior to the publication of our article in 2018, to our knowledge, there were no methods of achieving a favourable trade-off between the payload in bits-per-pixel (bpp) and the quality of the reconstructed image in terms of PSNR or SSIM. Indeed, a high payload value would lead to a degradation of the reconstructed image’s quality. Moreover, it should also be noted that almost all of the other state-of-the-art methods at the time, were based on Least Significant Bit (LSB) substitution and made little use of the redundancy between pixels in the clear domain to realize the data embedding of a secret message. In our proposed work <xref ref-type="bibr" rid="ref2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</xref> , we have taken the opposing view by developing a Most Significant Bits (MSB) prediction-based reversible data hiding in encrypted images (RDHEI) method. In the EPE-HCRDH approach, the original image is encrypted without modification and information about the location of all pixels which cannot be correctly predicted is embedded by MSB substitution. In order to localize the prediction errors, flags of consecutive bits equal to 1 are used. With this information, the data hider can detect all the bits which can be marked and substitute them with bits of a secret message. In this case, the payload is slightly lower than 1 bpp, but perfect reversibility is achieved. So, the proposed EPE-HCRDH approach provides a high payload with a little complexity. But as highlighted by Dragoi and Coltuc <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , the fact of using flags, so that the data hider can embed a secret message introduces security flaws in the method. Despite this, the method has attracted the attention of many researchers, with 100 citations (according to Google Scholar on November 9, 2020) in several peer-reviewed journals of excellent reputation (IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY <xref ref-type="bibr" rid="ref3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[3]</xref> , IEEE TRANSACTIONS ON MULTIMEDIA <xref ref-type="bibr" rid="ref4" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[4]</xref> – <xref ref-type="bibr" rid="ref5" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"/> <xref ref-type="bibr" rid="ref6" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"/> <xref ref-type="bibr" rid="ref7" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[7]</xref> , IEEE ACCESS <xref ref-type="bibr" rid="ref8" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[8]</xref> , IEEE TRANSACTIONS ON SIGNAL PROCESSING, and IEEE TRANSACTION ON DEPENDABLE AND SECURE COMPUTING <xref ref-type="bibr" rid="ref9" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[9]</xref> . Today, we can say that high capacity RDHEI has become a hot topic.

Editor-in-Chief Message

Time really flies! I can hardly believe that almost two years have passed since I assumed the Editor-in-Chief (EiC) position of the IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) on January 1, 2018. As planned, I will not pursue another term due to other commitments at work and to my family and will retire from the EiC position at the end of this year. The good news is that the TCSVT will be in the capable hands of the new EiC, Prof. Feng Wu, from the University of Science and Technology of China, and his new Editorial Board (EB). Prof. Wu is the current Deputy EiC of the TCSVT, and has many years of experience and leadership in the TCSVT community. I have the full confidence that he will take the Transactions to the next level!

Introduction of New Associate Editors

I would like to welcome 22 new outstanding researchers who are joining the IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) Editorial Board (EB) as Associate Editors. They are all respected and well-known experts in TCSVT-related fields. I am looking forward to working closely with them and all other existing TCSVT EB members to push TCSVT to a new level. Their profiles are as follows. Welcome aboard!

Editor-in-Chief Message: Embracing the Era of Intelligent Visual Technology and Systems

It is such a great honor and pleasure for me to assume the role of Editor-in-Chief of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), starting in January 2018. I have been involved in TCSVT for a long time, initially as a reader as early as in 1993 when I was still a graduate student, then as a long-time contributor in the role of an author and a reviewer, as an Associate Editor from 2002 to 2008, and later as a Deputy Editor-in-Chief from 2014 to 2017. I look forward to this exciting yet challenging opportunity to lead TCSVT to the next level.

Editor-in-Chief Message

It has been one year since i assumed my current role as Editor-in-Chief (EIC) of the IEEE Transactions on Circuits and Systems for Video Technology (CSVT). It has been an exciting year for me and the CSVT community and I would like to take a moment to recap some of the major milestones for the transactions over the past year.

A High-Throughput VLSI Architecture Design of Arithmetic Encoder in JPEG2000

The Arithmetic encoder (AE) is a throughput bottleneck of the entire JPEG2000 encoding system. But its sequential nature leads to a difficulty to improve its throughput. To overcome this bottleneck, a high-throughput AE capable of encoding one symbol per clock is proposed. First, the correlations between the sequential pairs of context and its decision are analyzed. Moreover, the burst number of CX and the burst number of the index value are studied. Due to these analyses, a conclusion is drawn in order to prevent the AE from stalling when the burst number of the context is larger than one. Based on this conclusion, an "index-arbiter" method is introduced, which increased the throughput greatly. Furthermore, the probabilities of different adjusting manners for the interval register A and code register C before renormalization are given. On the basis of these data, a detector of leading-zero is proposed to simplify the renormalization procedure. Finally, the total number and the max burst number of the two-byte emission are given. According to these results, a FIFO size of 43*4 is introduced to prevent the pipeline from pause when two-byte emission occurs. The proposed architecture is synthesized with TSMC0.18 μm HS technology library of ARM Company. The implementation result shows that the throughput of the proposed architecture is 547Msymbols/s with an area of 79,012.84 μm2. Compared with the paper Rhu and Park (IEEE Transactions on Circuits and Systems for Video Technology, 20(3),446---451, 2010), the throughput has been increased by 37 %.

Editor-in-Chief Message

The IEEE Transactions on Circuits and Systems for Video Technology has been the premier venue for publications in the area of video technology, such as video compression, hardware, and systems, since its inception in 1991. Over the past decade, the scope of CSVT has expanded and it is now the premier journal in all areas related to video technology and video systems, including video analysis and processing. In the next few years, the IEEE Transactions on Circuits and Systems for Video Technology will continue to serve as the main venue for publication related to video technology and video systems and further expand its scope. In particular, CSVT will cover all aspects of visual information relating to video or that have the potential to impact future developments in the field of video technology and video systems. An important change in CSVT policy is that we will no longer limit conference publication prior to submission of a paper to CSVT exclusively to ISCAS. Going forward, papers that have been published in any conference or workshop proceedings may be submitted for consideration to CSVT. If you have published preliminary results of your work in any imaging-related conference (e.g., ICIP, VCIP, ICME, CVPR, ICCV, ICPR, ACM Multimedia, ICC, GLOBECOM, and ISCAS) and would like to expose your work in visual information to the premier publication in video technology and video systems, I encourage you to consider submitting your work to the IEEE Transactions on Circuits and Systems for Video Technology.

Introduction of the Deputy Editor-in-Chief and Associate Editors

The Editor-in-Chief (EiC) introduces the new Deputy EiC, Dr. Shipeng Li, and the 25 new Associate Editors of the IEEE Transactions on Circuits and Systems for Video Technology. This is an outstanding group of world-renowned scholars in all areas of video technology and video systems. Dr. Li and the Associate Editors also serve as members of the Editorial Board of the IEEE Transactions on Circuits and Systems for Video Technology. Short professional biographies are presented for all.

Corrections to “HEVC Deblocking Filter”

This is a correction to the “HEVC deblocking filter” article published in IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 12, Dec. 2012.

Moving object detection in the H.264/AVC compressed domain for video surveillance applications

In this paper a novel method is presented to detect moving objects in H.264/AVC [T. Wiegand, G. Sullivan, G. Bjontegaard, G. Luthra, Overview of the H.264/AVC video coding standard, IEEE Transactions on Circuits and Systems for Video Technology, 13 (7) (2003) 560–576] compressed video surveillance sequences. Related work, within the H.264/AVC compressed domain, analyses the motion vector field to find moving objects. However, motion vectors are created from a coding perspective and additional complexity is needed to clean the noisy field. Hence, an alternative approach is presented here, based on the size (in bits) of the blocks and transform coefficients used within the video stream. The system is restricted to the syntax level and achieves high execution speeds, up to 20 times faster than the related work. To show the good detection results, a detailed comparison with related work is presented for different challenging video sequences. Finally, the influence of different encoder settings is investigated to show the robustness of our system.

The Total Least Squares Problem: Computational Aspects and Analysis (S. Van Huffel and J. Vandewalle)

Previous article Next article The Total Least Squares Problem: Computational Aspects and Analysis (S. Van Huffel and J. Vandewalle)Ricardo D. FierroRicardo D. Fierrohttps://doi.org/10.1137/1035157PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] Ricardo D. Fierro and , James R. Bunch, Perturbation Theory for Orthogonal Projection Methods with Applications to Least Squares and Total Least Squares, CAM Report, 92-44, Dept. of Mathematics, Univ. of California, Los Angeles, 1992 Google Scholar[2] Leon Jay Gleser, Estimation in a multivariate “errors in variables” regression model: large sample results, Ann. Statist., 9 (1981), 24–44 82c:62096 0496.62049 CrossrefISIGoogle Scholar[3] Gene H. Golub and , Charles F. Van Loan, An analysis of the total least squares problem, SIAM J. Numer. Anal., 17 (1980), 883–893 10.1137/0717073 83g:65020 0468.65011 LinkISIGoogle Scholar Previous article Next article FiguresRelatedReferencesCited ByDetails New Multi-View Classification Method with Uncertain DataACM Transactions on Knowledge Discovery from Data, Vol. 16, No. 1 | 28 Feb 2022 Cross Ref An Iterative Approach for Accurate Dynamic Model Identification of Industrial RobotsIEEE Transactions on Robotics, Vol. 36, No. 5 | 1 Oct 2020 Cross Ref Analytical performance assessment of 1-D Structured Least Squares2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | 1 May 2011 Cross Ref Arbitrarily colored ball detection using the structure tensor techniqueMechatronics, Vol. 21, No. 2 | 1 Mar 2011 Cross Ref Integration of frequency and space for multiple motion estimation and shape-independent object segmentationIEEE Transactions on Circuits and Systems for Video Technology, Vol. 18, No. 5 | 1 May 2008 Cross Ref Volume 35, Issue 4| 1993SIAM Review551-694 History Published online:12 July 2006 InformationCopyright © 1993 Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/1035157Article page range:pp. 660-662ISSN (print):0036-1445ISSN (online):1095-7200Publisher:Society for Industrial and Applied Mathematics

Tactile spatial resolution. II. Neural representation of Bars, edges, and gratings in monkey primary afferents.

Tactile spatial resolution. II. Neural representation of Bars, edges, and gratings in monkey primary afferents.

Explicit Solutions of Linear Matrix Equations

Explicit Solutions of Linear Matrix Equations