IEEE Transactions on Circuits and Systems for Video Technology
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IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) covers the circuits and systems aspects of all video technologies. General, theoretical, and application-oriented papers with a circuits and systems perspective are encouraged for publication in TCSVT on or related to image/video acquisition, representation, presentation and display; processing, filtering and transforms; analysis and synthesis; learning and understanding; compression, transmission, communication and networking; storage, retrieval, indexing and search; and/or hardware and software design and implementation.
Latest Published Articles
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Underwater Image Restoration Using Color-Line Model
Sun Dec 02 00:00:00 EST 2018 Sun Dec 02 00:00:00 EST 2018 -
Pose-Based Composition Improvement for Portrait Photographs
Mon Mar 19 00:00:00 EDT 2018 Mon Mar 19 00:00:00 EDT 2018 -
Convolutional Neural Network-Based Fractional-Pixel Motion Compensation
Mon Mar 19 00:00:00 EDT 2018 Mon Mar 19 00:00:00 EDT 2018 -
ML-HDP: A Hierarchical Bayesian Nonparametric Model for Recognizing Human Actions in Video
Mon Mar 19 00:00:00 EDT 2018 Mon Mar 19 00:00:00 EDT 2018 -
Reliable Re-Detection for Long-Term Tracking
Fri Mar 16 00:00:00 EDT 2018 Fri Mar 16 00:00:00 EDT 2018
Popular Articles
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Overview of the High Efficiency Video Coding (HEVC) Standard
Fri Sep 28 00:00:00 EDT 2012 Fri Sep 28 00:00:00 EDT 2012 -
A Simple Algorithm of Superpixel Segmentation With Boundary Constraint
Tue Mar 08 00:00:00 EST 2016 Tue Mar 08 00:00:00 EST 2016 -
A Survey of Content-Aware Video Analysis for Sports
Thu Jan 19 00:00:00 EST 2017 Thu Jan 19 00:00:00 EST 2017 -
Automatic Generation of Social Event Storyboard From Image Click-Through Data
Wed Aug 10 00:00:00 EDT 2016 Wed Aug 10 00:00:00 EDT 2016 -
Video Compression Based on Spatio-Temporal Resolution Adaptation
Wed Oct 31 00:00:00 EDT 2018 Wed Oct 31 00:00:00 EDT 2018
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Shipeng Li
iFLYTEK Co. Ltd.
No. 666 West Wangjiang Road
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Desiree Noel
IEEE Publishing Operations
d.noel@ieee.org
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Overview of the High Efficiency Video Coding (HEVC) Standard
Publication Year: 2012, Page(s):1649 - 1668
Cited by: Papers (2959) | Patents (104)High Efficiency Video Coding (HEVC) is currently being prepared as the newest video coding standard of the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. The main goal of the HEVC standardization effort is to enable significantly improved compression performance relative to existing standards-in the range of 50% bit-rate reduction for equal perceptual video quality.... View full abstract»
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A Simple Algorithm of Superpixel Segmentation With Boundary Constraint
Publication Year: 2017, Page(s):1502 - 1514
Cited by: Papers (3)As one of the most popular image oversegmentations, superpixel has been commonly used as supporting regions for primitives to reduce computations in various computer vision tasks. In this paper, we propose a novel superpixel segmentation approach based on a distance function that is designed to balance among boundary adherence, intensity homogeneity, and compactness (COM) characteristics of the re... View full abstract»
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A Survey of Content-Aware Video Analysis for Sports
Publication Year: 2018, Page(s):1212 - 1231
Cited by: Papers (3)Sports data analysis is becoming increasingly large scale, diversified, and shared, but difficulty persists in rapidly accessing the most crucial information. Previous surveys have focused on the methodologies of sports video analysis from the spatiotemporal viewpoint instead of a content-based viewpoint, and few of these studies have considered semantics. This paper develops a deeper interpretati... View full abstract»
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Automatic Generation of Social Event Storyboard From Image Click-Through Data
Publication Year: 2018, Page(s):242 - 253Recent studies have shown that a noticeable percentage of Web search traffic is about social events. While traditional Web sites can only show human-edited events, in this paper, we present a novel system to automatically detect events from search log data and generate storyboards where the events are arranged chronologically. We chose image search log as the resource for event mining, as search l... View full abstract»
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Video Compression Based on Spatio-Temporal Resolution Adaptation
Publication Year: 2019, Page(s):275 - 280A video compression framework based on spatio-temporal resolution adaptation (ViSTRA) is proposed, which dynamically resamples the input video spatially and temporally during encoding, based on a quantisation-resolution decision, and reconstructs the full resolution video at the decoder. Temporal upsampling is performed using frame repetition, whereas a convolutional neural network super-resolutio... View full abstract»
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Overview of the Multiview and 3D Extensions of High Efficiency Video Coding
Publication Year: 2016, Page(s):35 - 49
Cited by: Papers (122)The High Efficiency Video Coding (HEVC) standard has recently been extended to support efficient representation of multiview video and depth-based 3D video formats. The multiview extension, MV-HEVC, allows efficient coding of multiple camera views and associated auxiliary pictures, and can be implemented by reusing single-layer decoders without changing the block-level processing modules since blo... View full abstract»
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Video Quality Evaluation Methodology and Verification Testing of HEVC Compression Performance
Thiow Keng Tan ; Rajitha Weerakkody ; Marta Mrak ; Naeem Ramzan ; Vittorio Baroncini ; Jens-Rainer Ohm ; Gary J. SullivanPublication Year: 2016, Page(s):76 - 90
Cited by: Papers (68)The High Efficiency Video Coding (HEVC) standard (ITU-T H.265 and ISO/IEC 23008-2) has been developed with the main goal of providing significantly improved video compression compared with its predecessors. In order to evaluate this goal, verification tests were conducted by the Joint Collaborative Team on Video Coding of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29. This paper presents the subjective... View full abstract»
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Automatic License Plate Recognition (ALPR): A State-of-the-Art Review
Publication Year: 2013, Page(s):311 - 325
Cited by: Papers (175)Automatic license plate recognition (ALPR) is the extraction of vehicle license plate information from an image or a sequence of images. The extracted information can be used with or without a database in many applications, such as electronic payment systems (toll payment, parking fee payment), and freeway and arterial monitoring systems for traffic surveillance. The ALPR uses either a color, blac... View full abstract»
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An Efficient SVD-Based Method for Image Denoising
Publication Year: 2016, Page(s):868 - 880
Cited by: Papers (60)Nonlocal self-similarity of images has attracted considerable interest in the field of image processing and has led to several state-of-the-art image denoising algorithms, such as block matching and 3-D, principal component analysis with local pixel grouping, patch-based locally optimal wiener, and spatially adaptive iterative singular-value thresholding. In this paper, we propose a computationall... View full abstract»
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T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos
Kai Kang ; Hongsheng Li ; Junjie Yan ; Xingyu Zeng ; Bin Yang ; Tong Xiao ; Cong Zhang ; Zhe Wang ; Ruohui Wang ; Xiaogang Wang ; Wanli OuyangPublication Year: 2018, Page(s):2896 - 2907
Cited by: Papers (8)The state-of-the-art performance for object detection has been significantly improved over the past two years. Besides the introduction of powerful deep neural networks, such as GoogleNet and VGG, novel object detection frameworks, such as R-CNN and its successors, Fast R-CNN, and Faster R-CNN, play an essential role in improving the state of the art. Despite their effectiveness on still images, t... View full abstract»
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Overview of HEVC High-Level Syntax and Reference Picture Management
Rickard Sjoberg ; Ying Chen ; Akira Fujibayashi ; Miska M. Hannuksela ; Jonatan Samuelsson ; Thiow Keng Tan ; Ye-Kui Wang ; Stephan WengerPublication Year: 2012, Page(s):1858 - 1870
Cited by: Papers (49) | Patents (74)The increasing proportion of video traffic in telecommunication networks puts an emphasis on efficient video compression technology. High Efficiency Video Coding (HEVC) is the forthcoming video coding standard that provides substantial bit rate reductions compared to its predecessors. In the HEVC standardization process, technologies such as picture partitioning, reference picture management, and ... View full abstract»
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Towards Robust Image Steganography
Publication Year: 2019, Page(s):594 - 600Posting images on social network platforms is happening everywhere and every single second. Thus, the communication channels offered by various social networks have a great potential for covert communication. However, images transmitted through such channels will usually be JPEG compressed, which fails most of the existing steganographic schemes. In this paper, we propose a novel image steganograp... View full abstract»
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Large-Scale Video Retrieval Using Image Queries
Publication Year: 2018, Page(s):1406 - 1420
Cited by: Papers (3)Retrieving videos from large repositories using image queries is important for many applications, such as brand monitoring or content linking. We introduce a new retrieval architecture, in which the image query can be compared directly with database videos - significantly improving retrieval scalability compared with a baseline system that searches the database on a video frame level. Matching an ... View full abstract»
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An introduction to biometric recognition
Publication Year: 2004, Page(s):4 - 20
Cited by: Papers (1806) | Patents (88)A wide variety of systems requires reliable personal recognition schemes to either confirm or determine the identity of an individual requesting their services. The purpose of such schemes is to ensure that the rendered services are accessed only by a legitimate user and no one else. Examples of such applications include secure access to buildings, computer systems, laptops, cellular phones, and A... View full abstract»
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An End-to-End Compression Framework Based on Convolutional Neural Networks
Publication Year: 2018, Page(s):3007 - 3018
Cited by: Papers (7)Deep learning, e.g., convolutional neural networks (CNNs), has achieved great success in image processing and computer vision especially in high-level vision applications, such as recognition and understanding. However, it is rarely used to solve low-level vision problems such as image compression studied in this paper. Here, we move forward a step and propose a novel compression framework based o... View full abstract»
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HEVC Deblocking Filter
Andrey Norkin ; Gisle Bjontegaard ; Arild Fuldseth ; Matthias Narroschke ; Masaru Ikeda ; Kenneth Andersson ; Minhua Zhou ; Geert Van der AuweraPublication Year: 2012, Page(s):1746 - 1754
Cited by: Papers (119) | Patents (3)This paper describes the in-loop deblocking filter used in the upcoming High Efficiency Video Coding (HEVC) standard to reduce visible artifacts at block boundaries. The deblocking filter performs detection of the artifacts at the coded block boundaries and attenuates them by applying a selected filter. Compared to the H.264/AVC deblocking filter, the HEVC deblocking filter has lower computational... View full abstract»
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Survey on 3D Hand Gesture Recognition
Publication Year: 2016, Page(s):1659 - 1673
Cited by: Papers (60)Three-dimensional hand gesture recognition has attracted increasing research interests in computer vision, pattern recognition, and human-computer interaction. The emerging depth sensors greatly inspired various hand gesture recognition approaches and applications, which were severely limited in the 2D domain with conventional cameras. This paper presents a survey of some recent works on hand gest... View full abstract»
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Overview of the Range Extensions for the HEVC Standard: Tools, Profiles, and Performance
David Flynn ; Detlev Marpe ; Matteo Naccari ; Tung Nguyen ; Chris Rosewarne ; Karl Sharman ; Joel Sole ; Jizheng XuPublication Year: 2016, Page(s):4 - 19
Cited by: Papers (37)The Range Extensions (RExt) of the High Efficiency Video Coding (HEVC) standard have recently been approved by both ITU-T and ISO/IEC. This set of extensions targets video coding applications in areas including content acquisition, postproduction, contribution, distribution, archiving, medical imaging, still imaging, and screen content. In addition to the functionality of HEVC Version 1, RExt prov... View full abstract»
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Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition
Publication Year: 2018, Page(s):3030 - 3043
Cited by: Papers (1)Emotion recognition is challenging due to the emotional gap between emotions and audio-visual features. Motivated by the powerful feature learning ability of deep neural networks, this paper proposes to bridge the emotional gap by using a hybrid deep model, which first produces audio-visual segment features with Convolutional Neural Networks (CNNs) and 3D-CNN, then fuses audio-visual segment featu... View full abstract»
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Overview of the H.264/AVC video coding standard
Publication Year: 2003, Page(s):560 - 576
Cited by: Papers (4265) | Patents (734)H.264/AVC is newest video coding standard of the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. The main goals of the H.264/AVC standardization effort have been enhanced compression performance and provision of a "network-friendly" video representation addressing "conversational" (video telephony) and "nonconversational" (storage, broadcast, or streaming) applicatio... View full abstract»
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New Framework of Reversible Data Hiding in Encrypted JPEG Bitstreams
Publication Year: 2019, Page(s):351 - 362
Cited by: Papers (2)This paper proposes a novel framework of reversible data hiding in encrypted JPEG bitstream. We first provide a JPEG encryption algorithm to encipher a JPEG image to a smaller size and keep the format compliant to JPEG decoders. After an image owner uploads the encrypted JPEG bitstreams to cloud storage, the server embeds additional messages into the ciphertext to construct a marked encrypted JPEG... View full abstract»
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Transform Coefficient Coding in HEVC
Joel Sole ; Rajan Joshi ; Nguyen Nguyen ; Tianying Ji ; Marta Karczewicz ; Gordon Clare ; Félix Henry ; Alberto DuenasPublication Year: 2012, Page(s):1765 - 1777
Cited by: Papers (72) | Patents (19)This paper describes transform coefficient coding in the draft international standard of High Efficiency Video Coding (HEVC) specification and the driving motivations behind its design. Transform coefficient coding in HEVC encompasses the scanning patterns and coding methods for the last significant coefficient, significance map, coefficient levels, and sign data. Special attention is paid to the ... View full abstract»
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Robust Sparse Linear Discriminant Analysis
Publication Year: 2019, Page(s):390 - 403
Cited by: Papers (5)Linear discriminant analysis (LDA) is a very popular supervised feature extraction method and has been extended to different variants. However, classical LDA has the following problems: 1) The obtained discriminant projection does not have good interpretability for features; 2) LDA is sensitive to noise; and 3) LDA is sensitive to the selection of number of projection directions. In this paper, a ... View full abstract»
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Multi-Layer Frame Rate Up-Conversion Using Trilateral Filtering for Multi-View Video
Publication Year: 2019, Page(s):283 - 292Frame rate up-conversion (FRUC) is a technology for generating a higher frame rate video from one with a lower frame rate. The multi-view plus depth map (MVD) system has been recently considered a promising solution for three-dimensional video systems. Accordingly, an FRUC efficient solution for the MVD system is greatly needed. In this paper, we thus propose an FRUC approach that considers the MV... View full abstract»
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An Overview of Digital Video Watermarking
Publication Year: 2018, Page(s):2131 - 2153
Cited by: Papers (5)The illegal distribution of a digital movie is a common and significant threat to the film industry. With the advent of high-speed broadband Internet access, a pirated copy of a digital video can now be easily distributed to a global audience. A possible means of limiting this type of digital theft is digital video watermarking whereby additional information, called a watermark, is embedded in the... View full abstract»
Aims & Scope
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) covers the circuits and systems aspects of all video technologies. General, theoretical, and application-oriented papers with a circuits and systems perspective are encouraged for publication in TCSVT on or related to image/video acquisition, representation, presentation and display; processing, filtering and transforms; analysis and synthesis; learning and understanding; compression, transmission, communication and networking; storage, retrieval, indexing and search; and/or hardware and software design and implementation.
Meet Our Editors
Editor-in-Chief
Shipeng Li
iFLYTEK Co. Ltd.
No. 666 West Wangjiang Road
Hi-Tech Zone, Hefei, China 230088
Peer Review Support Services
Desiree Noel
IEEE Publishing Operations
d.noel@ieee.org
732-562-2644
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Aims & Scope
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) covers the circuits and systems aspects of all video technologies. General, theoretical, and application-oriented papers with a circuits and systems perspective are encouraged for publication in TCSVT on or related to image/video acquisition, representation, presentation and display; processing, filtering and transforms; analysis and synthesis; learning and understanding; compression, transmission, communication and networking; storage, retrieval, indexing and search; and/or hardware and software design and implementation.
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=76 More »
Frequency: 12
ISSN: 1051-8215
Publication Details:
Published by:
Subjects
- Communication, Networking & Broadcasting
- Components, Circuits, Devices & Systems
- Computing & Processing
- Signal Processing & Analysis
Contacts
Editor-in-Chief
Shipeng Li
iFLYTEK Co. Ltd.
No. 666 West Wangjiang Road
Hi-Tech Zone, Hefei, China 230088
tcsvt.eic@gmail.com
Peer Review Support Services
Desiree Noel
IEEE Publishing Operations
d.noel@ieee.org
732-562-2644
About this Journal
Author Resources
Sponsor
Contacts
Editor-in-Chief
Shipeng Li
iFLYTEK Co. Ltd.
No. 666 West Wangjiang Road
Hi-Tech Zone, Hefei, China 230088
Peer Review Support Services
Desiree Noel
IEEE Publishing Operations
d.noel@ieee.org
732-562-2644
Abstract
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