Conferences related to Video Coding

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


GLOBECOM 2020 - 2020 IEEE Global Communications Conference

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

Industrial information technologies


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Periodicals related to Video Coding

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


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Xplore Articles related to Video Coding

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A Signal Adaptive Diffusion Filter for Video Coding Using Directional Total Variation

2018 25th IEEE International Conference on Image Processing (ICIP), 2018

In this paper we combine state of the art video compression with inpainting methods. We introduce a new signal adaptive method to filter the predictions of a hybrid video codec using a constrained optimization approach. The filter is embedded into the framework of HEVC. The efficiency of the HEVC video codec is improved by up to -6.14% Bj Ø ntegaard ...


A Signal Adaptive Diffusion Filter For Video Coding

2018 Picture Coding Symposium (PCS), 2018

In this paper we combine state of the art video compression and Partial Differential Equation (PDE) based image processing methods. We introduce a new signal adaptive method to filter the predictions of a hybrid video codec using a system of PDEs describing a diffusion process. The method can be applied to intra as well as inter predictions. The filter is ...


Video Compression Using Nested Quadtree Structures, Leaf Merging, and Improved Techniques for Motion Representation and Entropy Coding

IEEE Transactions on Circuits and Systems for Video Technology, 2010

Abstract-A video coding architecture is described that is based on nested and pre-configurable quadtree structures for flexible and signal-adaptive picture partitioning. The primary goal of this partitioning concept is to provide a high degree of adaptability for both temporal and spatial prediction as well as for the purpose of space-frequency representation of prediction residuals. At the same time, a leaf ...


Coding efficiency comparison of AV1/VP9, H.265/MPEG-HEVC, and H.264/MPEG-AVC encoders

2016 Picture Coding Symposium (PCS), 2016

This work presents a coding efficiency evaluation of the recently published first release of the video coding scheme of the Alliance for Open Media (AOM), so called AOM/AV1, in comparison to the video coding standards H.264/MPEG-AVC (Advanced Video Coding) and H.265/MPEG-HEVC (High-Efficiency Video Coding). As representatives of the two last-mentioned video coding standards, the corresponding reference software encoders of JM ...


Expert Talk for Time Machine Session: High Order Entropy Coding -- From Conventional Video Coding to Distributed Video Coding

2012 IEEE International Conference on Multimedia and Expo, 2012

High order entropy coding has proved to be critical for improving the coding efficiency of conventional image/video coding. What role will it play in distributed video coding? This talk intends to shed some light on that.


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Educational Resources on Video Coding

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IEEE-USA E-Books

  • A Signal Adaptive Diffusion Filter for Video Coding Using Directional Total Variation

    In this paper we combine state of the art video compression with inpainting methods. We introduce a new signal adaptive method to filter the predictions of a hybrid video codec using a constrained optimization approach. The filter is embedded into the framework of HEVC. The efficiency of the HEVC video codec is improved by up to -6.14% Bj Ø ntegaard delta (BD) rate for All Intra.

  • A Signal Adaptive Diffusion Filter For Video Coding

    In this paper we combine state of the art video compression and Partial Differential Equation (PDE) based image processing methods. We introduce a new signal adaptive method to filter the predictions of a hybrid video codec using a system of PDEs describing a diffusion process. The method can be applied to intra as well as inter predictions. The filter is embedded into the framework of HEVC. The efficiency of the HEVC video codec is improved by up to −2.76% for All Intra and −3.56% for Random Access measured in Bjøntegaard delta (BD) rate. Coding gains of up to −8.76% can be observed for individual test sequences.

  • Video Compression Using Nested Quadtree Structures, Leaf Merging, and Improved Techniques for Motion Representation and Entropy Coding

    Abstract-A video coding architecture is described that is based on nested and pre-configurable quadtree structures for flexible and signal-adaptive picture partitioning. The primary goal of this partitioning concept is to provide a high degree of adaptability for both temporal and spatial prediction as well as for the purpose of space-frequency representation of prediction residuals. At the same time, a leaf merging mechanism is included in order to prevent excessive partitioning of a picture into prediction blocks and to reduce the amount of bits for signaling the prediction signal. For fractional-sample motion-compensated prediction, a fixed-point implementation of the maximal- order minimum-support algorithm is presented that uses a combination of infinite impulse response and FIR filtering. Entropy coding utilizes the concept of probability interval partitioning entropy codes that offers new ways for parallelization and enhanced throughput. The presented video coding scheme was submitted to a joint call for proposals of ITU-T Visual Coding Experts Group and ISO/IEC Moving Picture Experts Group and was ranked among the five best performing proposals, both in terms of subjective and objective quality.

  • Coding efficiency comparison of AV1/VP9, H.265/MPEG-HEVC, and H.264/MPEG-AVC encoders

    This work presents a coding efficiency evaluation of the recently published first release of the video coding scheme of the Alliance for Open Media (AOM), so called AOM/AV1, in comparison to the video coding standards H.264/MPEG-AVC (Advanced Video Coding) and H.265/MPEG-HEVC (High-Efficiency Video Coding). As representatives of the two last-mentioned video coding standards, the corresponding reference software encoders of JM and HM were selected, and for HEVC, in addition, the Fraunhofer HHI HEVC commercial software encoder and the open source software implementation x265 were used. According to the experimental results, which were obtained by using similar configurations for all examined representative encoders, the H.265/MPEG-HEVC reference software implementation provides significant average bit-rate savings of 38.4 % and 32.8 % compared to AOM/AV1 and H.264/MPEG-AVC, respectively. Particularly, when directly compared to H.264/MPEG-AVC High Profile, the AOM/AV1 encoder produces an average bit-rate overhead of 10.5% at the same objective quality. In addition, it was observed that the AOM/AV1 encoding times are quite similar to those of the full-fledged HM and JM reference software encoders. On the other hand, the typical encoding times of the HM encoder are in the range of 30-300 times higher on average than those measured for the configurable HHI HEVC encoder, depending on its chosen trade-off between encoding speed and coding efficiency.

  • Expert Talk for Time Machine Session: High Order Entropy Coding -- From Conventional Video Coding to Distributed Video Coding

    High order entropy coding has proved to be critical for improving the coding efficiency of conventional image/video coding. What role will it play in distributed video coding? This talk intends to shed some light on that.

  • Fast template matching for intra prediction

    Intra prediction is an important step in video coding, where spatial redundancy is exploited for coding efficiency. The state-of-the-art H.265/High Efficiency Video Coding (HEVC) standard provides 35 intra prediction modes including 33 angular modes and a DC as well as a Planar mode. Although these intra prediction methods are quite efficient, there is still room for improvements, especially when complex image structures are involved. Template matching was proposed previously for H.264/Advanced Video Coding (AVC) with up to 11% BD-rate gain. However substantial decoder complexity increase from the implied search algorithm makes it less attractive for practical applications. In this paper, we propose a fast template matching intra mode for HEVC. The proposed mode is scalable in the sense of providing different trade-offs between decoder complexity and BD-rate gains. For a specific choice of parameters, fast template matching mode can achieve an average BD-rate gain of 1.15% with a maximum BD-rate gain of up to 4.6% at a 33% increase in decoder run-time. Overall, fast template matching can provide the same coding gain as conventional template matching approaches, but with significantly less decoder complexity.

  • Depth Intra Coding for 3D Video Based on Geometric Primitives

    This paper presents an advanced depth intra-coding approach for 3D video coding based on the High Efficiency Video Coding (HEVC) standard and the multiview video plus depth (MVD) representation. This paper is motivated by the fact that depth signals have specific characteristics that differ from those of natural signals, i.e., camera-view video. Our approach replaces conventional intra-picture coding for the depth component, targeting a consistent and efficient support of 3D video applications that utilize depth maps or polygon meshes or both, with a high depth coding efficiency in terms of minimal artifacts in rendered views and meshes with a minimal number of triangles for a given bit rate. For this purpose, we introduce intra-picture prediction modes based on geometric primitives along with a residual coding method in the spatial domain, substituting conventional intra-prediction modes and transform coding, respectively. The results show that our solution achieves the same quality of rendered or synthesized views with about the same bit rate as MVD coding with the 3D video extension of HEVC (3D-HEVC) for high- quality depth maps and with about 8% less overall bit rate as with 3D-HEVC without related depth tools. At the same time, the combination of 3D video with 3D computer graphics content is substantially simplified, as the geometry-based depth intra signals can be represented as a surface mesh with about 85% less triangles, generated directly in the decoding process as an alternative decoder output.

  • Improved Prediction Via Thresholding Transform Coefficients

    This paper presents a thresholding method for processing the predicted samples in the state-of-the-art High Efficiency Video Coding (HEVC) standard. The method applies an integer-based approximation of the discrete cosine transform to an extended prediction block and sets transform coefficients beneath a certain threshold to zero. Transforming back into the sample domain yields the improved prediction signal. The method is incorporated into a software implementation that is conforming to the HEVC standard and applies to both intra and inter predictions. Consequently, bit-rate savings ranging from 2.3% to 8.0% have been measured in terms of the Bjøntegaard-Delta bit rate (BD- rate).

  • On the Information Theoretic Performance Comparison of Causal Video Coding and Predictive Video Coding

    Causal video coding is a coding paradigm where video source frames X1, X2,..., XN are encoded in a frame-by-frame manner, the encoder for each frame can use all previous source frames and all previous encoded frames, and the corresponding decoder can use only all previous encoded frames. In the special case where the encoder for each frame Xk is further restricted to enlist help only from all previous encoded frames, causal video coding is reduced to predictive video coding, which all MPEG-series and H-series video coding standards proposed so far are based upon. In this paper, we compare the rate distortion performance of causal video coding with that of predictive video coding from an information theoretic perspective by modeling each frame Xk itself as a source Xk={Xk(i)}i=1∞. Let Rc*(D1,...,DN) (Rp*(D1,...,DN), respectively) denote the minimum total rate required to achieve a given distortion level D1,...,DN in causal video coding (predictive video coding, respectively). We first show that like Rc*(D1,..., DN), for jointly stationary and totally ergodic sources X1, X2,..., XN, Rp*(D1,...,DN) is equal to the infimum of the nth order total rate distortion function Rp,n(D1,...,DN) over all n, where Rp,n(D1,...,DN) itself is given by the minimum of an information quantity over a set of auxiliary random variables. We then prove that if the jointly stationary and totally ergodic sources X1,..., XN form a (first-order) Markov chain, we have Rp*(D1,...,DN)=Rc*(D1,...,DN). However, this is not true in general if X1,..., XN do not form a (first-order) Markov chain. Specifically, we demonstrate that for independent and identically distributed vector source (X1,..., XN), if X1,..., XN do not form a (first-order) Markov chain, then under some conditions on source frames and distortion, Rc*(D1,..., DN) is strictly less than Rp*(D1,..., DN) in general. Our techniques allow us to compare Rp*(D1,..., DN) with Rc*(D1,..., DN) even when the single-letter characterization of Rp*(D1,..., DN), if any, is unknown.

  • The effect of packet loss and delay jitter on the video streaming performance using H.264/MPEG-4 Scalable Video Coding

    ITU-T H.264/MPEG-4 Scalable Video Coding (H.264/SVC) is one of popular video coding standard after H.264/MPEG-4 Advanced Video Coding (H.264/AVC) which was created by Joint Video Team (JVT) between Video Coding Expert Group (VCEG) ITU-T and Moving Picture Expert Group (MPEG) ISO/IEC. This standard allows video coding using single layer or more ones to provide the scalability of the coded video.



Standards related to Video Coding

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No standards are currently tagged "Video Coding"