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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Towards Robust Image Steganography
Tue Nov 13 00:00:00 EST 2018 Tue Nov 13 00:00:00 EST 2018 -
Ultra-Low Complexity Block-Based Lane Detection and Departure Warning System
Tue Feb 13 00:00:00 EST 2018 Tue Feb 13 00:00:00 EST 2018 -
Direction Selective Contour Detection for Salient Objects
Fri Feb 09 00:00:00 EST 2018 Fri Feb 09 00:00:00 EST 2018 -
Reversible Data Hiding in Color Image With Grayscale Invariance
Wed Feb 07 00:00:00 EST 2018 Wed Feb 07 00:00:00 EST 2018 -
Light Field Image Compression Based on Bi-Level View Compensation With Rate-Distortion Optimization
Tue Feb 06 00:00:00 EST 2018 Tue Feb 06 00:00:00 EST 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 -
Video Compression Based on Spatio-Temporal Resolution Adaptation
Wed Oct 31 00:00:00 EDT 2018 Wed Oct 31 00:00:00 EDT 2018 -
An Efficient SVD-Based Method for Image Denoising
Wed Mar 25 00:00:00 EDT 2015 Wed Mar 25 00:00:00 EDT 2015
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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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Popular Documents (January 2019)
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Overview of the High Efficiency Video Coding (HEVC) Standard
Publication Year: 2012, Page(s):1649 - 1668
Cited by: Papers (2912) | 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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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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An Efficient SVD-Based Method for Image Denoising
Publication Year: 2016, Page(s):868 - 880
Cited by: Papers (58)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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Automatic License Plate Recognition (ALPR): A State-of-the-Art Review
Publication Year: 2013, Page(s):311 - 325
Cited by: Papers (172)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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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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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 (7)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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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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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 (65)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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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 (118) | 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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Overview of the H.264/AVC video coding standard
Publication Year: 2003, Page(s):560 - 576
Cited by: Papers (4163) | 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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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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Overview of the Multiview and 3D Extensions of High Efficiency Video Coding
Publication Year: 2016, Page(s):35 - 49
Cited by: Papers (116)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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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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Survey on 3D Hand Gesture Recognition
Publication Year: 2016, Page(s):1659 - 1673
Cited by: Papers (57)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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Skeleton Optical Spectra-Based Action Recognition Using Convolutional Neural Networks
Publication Year: 2018, Page(s):807 - 811
Cited by: Papers (16)This letter presents an effective method to encode the spatiotemporal information of a skeleton sequence into color texture images, referred to as skeleton optical spectra, and employs convolutional neural networks (ConvNets) to learn the discriminative features for action recognition. Such spectrum representation makes it possible to use a standard ConvNet architecture to learn suitable “dynamic”... 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 (36)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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An introduction to biometric recognition
Publication Year: 2004, Page(s):4 - 20
Cited by: Papers (1740) | 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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A Unified Metric Learning-Based Framework for Co-Saliency Detection
Publication Year: 2018, Page(s):2473 - 2483
Cited by: Papers (8)Co-saliency detection, which focuses on extracting commonly salient objects in a group of relevant images, has been attracting research interest because of its broad applications. In practice, the relevant images in a group may have a wide range of variations, and the salient objects may also have large appearance changes. Such wide variations usually bring about large intra-co-salient objects (in... 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 (46) | 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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Low-Illumination Image Enhancement Algorithm Based on a Physical Lighting Model
Publication Year: 2019, Page(s):28 - 37
Cited by: Papers (2)Low-illumination images are usually taken in non-uniform environmental light, such as extremely dark or bright light or artificial light. The enhancement results achieved by existing techniques are prone to halo artifacts, color unnaturalness, and information loss. To address these problems, we present a physical lighting model that describes the degradation of poor illumination images, in which t... View full abstract»
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Deep Metric Learning for Crowdedness Regression
Publication Year: 2018, Page(s):2633 - 2643
Cited by: Papers (10)Cross-scene regression tasks, such as congestion level detection and crowd counting, are useful but challenging. There are two main problems, which limit the performance of existing algorithms. The first one is that no appropriate congestion-related feature can reflect the real density in scenes. Though deep learning has been proved to be capable of extracting high level semantic representations, ... View full abstract»
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Blind Dual Watermarking for Color Images’ Authentication and Copyright Protection
Publication Year: 2018, Page(s):1047 - 1055
Cited by: Papers (2)This paper presents a blind dual watermarking mechanism for digital color images in which invisible robust watermarks are embedded for copyright protection and fragile watermarks are embedded for image authentication. For the purpose of copyright protection, the first watermark is embedded using the discrete wavelet transform in YCbCr color space, and it can be extracted blindly without access to ... View full abstract»
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Comparison of the Coding Efficiency of Video Coding Standards—Including High Efficiency Video Coding (HEVC)
Publication Year: 2012, Page(s):1669 - 1684
Cited by: Papers (656) | Patents (5)The compression capability of several generations of video coding standards is compared by means of peak signal-to-noise ratio (PSNR) and subjective testing results. A unified approach is applied to the analysis of designs, including H.262/MPEG-2 Video, H.263, MPEG-4 Visual, H.264/MPEG-4 Advanced Video Coding (AVC), and High Efficiency Video Coding (HEVC). The results of subjective tests for WVGA ... 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
Further Links
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