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Lossy parametric motion model compression for global motion temporal filtering

M. Tok, A. Krutz, A. Glantz, T. Sikora
2012 2012 Picture Coding Symposium  
using adaptive global motion temporal filtering.  ...  For that, we propose a compression scheme for perspective motion models using transformation before quantization and temporal redundancy reduction and integrate this scheme into a video coding environment  ...  For this purpose, the work in [5] describes how to use global, or parametric motion models (PMM) in more general terms, for temporal frame filtering to reduce block artifacts.  ... 
doi:10.1109/pcs.2012.6213354 dblp:conf/pcs/TokKGS12 fatcat:o2r644wdyjgzxmtwxv6oovbfda

Motion modeling for motion vector coding in HEVC

Michael Tok, Volker Eiselein, Thomas Sikora
2015 2015 Picture Coding Symposium (PCS)  
This scheme includes estimation, coding and dynamic recombination of parametric motion models to generate vector predictors and merge candidates for all common HEVC inter coding settings.  ...  fields used for motion compensated inter prediction.  ...  With this scheme, one lossy compressed model per frame n for parametric motion vectors from frame n to n − 1 is transmitted.  ... 
doi:10.1109/pcs.2015.7170066 dblp:conf/pcs/TokES15 fatcat:xfmlez56lffsravsk4kicictdm

Video Object Extraction And Shape Coding Using B- Splines

J. Zaletelj, Jurlj Tdslé
2015 Zenodo  
for lossy shape compression at low bit rates.  ...  The comparison of shape coding methods has shown that the proposed scheme outperforms MPEG-4 CAE for approximatelly 50 % at maximum distortion above 1 pel, which indicates that B-splines are very suitable  ...  B-splines are parametric curves suitable for contour approximation and compression [5, 6, 7] .  ... 
doi:10.5281/zenodo.37478 fatcat:w37rqirxundvvcsdaluomtmts4

Parametric motion vector prediction for hybrid video coding

M. Tok, A. Glantz, A. Krutz, T. Sikora
2012 2012 Picture Coding Symposium  
Thus, motion vector prediction and difference coding are used for compressing.  ...  We present a novel parametric motion vector predictor (PMVP), based on higher-order motion models to overcome this issue.  ...  As PMVP covers highly complex motion but is not useful for simple translational ones, a per frame decision for using or not using PMVP has to be worked out to get even higher gains.  ... 
doi:10.1109/pcs.2012.6213369 dblp:conf/pcs/TokGKS12 fatcat:2wonjnyy5bbn7jowwtbpqhaasa

Two-Dimensional Shape Coding [chapter]

Joern Ostermann, Anthony Vetro
2006 Signal Processing and Communications  
, and motion.  ...  Coding algorithms like objectbased analysis-synthesis coding (OBASC) [30| use shape as a parameter in addition to texture and motion for describing moving video objects.  ...  by a global motion model.  ... 
doi:10.1201/9781420018837.ch12 fatcat:tquqy7f2d5e4tpoy23dgjflpaa

Advances In Video Compression System Using Deep Neural Network: A Review And Case Studies [article]

Dandan Ding, Zhan Ma, Di Chen, Qingshuang Chen, Zoe Liu, Fengqing Zhu
2021 arXiv   pre-print
On post-processing, we demonstrate two neural adaptive filters to respectively facilitate the in-loop and post filtering for the enhancement of compressed frames.  ...  Significant advances in video compression system have been made in the past several decades to satisfy the nearly exponential growth of Internet-scale video traffic.  ...  This naturally raises the question of whether it is possible to encode those spatio-temporal features in a compact format for efficient lossy compression.  ... 
arXiv:2101.06341v1 fatcat:63vikavtpnb3dilixbakkcbwnq

Transform and embedded coding techniques for maximum efficiency and random accessibility in 3-D scalable compression

R. Leung, D. Taubman
2005 IEEE Transactions on Image Processing  
We develop performance bounds on techniques which exploit temporal redundancy within the confines of a feed-forward compression system and benchmark a motion-adaptive wavelet transform against the optimal  ...  We also believe that the LIMAT 1 framework and EBCOT 2 coding paradigm provide fertile ground for further research and progress in the development of highly scalable 3D compression systems.  ...  TABLE I I CODING GAINS AND LOSSY COMPRESSION RESULTS FOR CT AND MRI DATA SETS. LOSSY KLT RESULTS OBTAINED AT 0.05 BITS/SAMPLE AND 0.25 BITS/SAMPLE, RESPECTIVELY.  ... 
doi:10.1109/tip.2005.851707 pmid:16238067 fatcat:pwmpdrjgxvczvi5ld4uqtgyz2e

Insights from Generative Modeling for Neural Video Compression [article]

Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt
2021 arXiv   pre-print
We present recent neural video codecs as instances of a generalized stochastic temporal autoregressive transform, and propose new avenues for further improvements inspired by normalizing flows and structured  ...  In particular, we propose (i) improved temporal autoregressive transforms, (ii) improved entropy models with structured and temporal dependencies, and (iii) variable bitrate versions of our algorithms.  ...  [34] introduced both local and global latent variables for learning disentangled representations in videos.  ... 
arXiv:2107.13136v1 fatcat:mdx27avdzbabxayvhpbtbjx74a

Successive refinement of video: fundamental issues, past efforts, and new directions

David Taubman, Touradj Ebrahimi, Thomas Sikora
2003 Visual Communications and Image Processing 2003  
In particular, the paper describes novel spatio-temporal decomposition structures, a novel finely embedded motion coding structure, and a complete compression system which addresses the needs of a wide  ...  For motivation, the paper sketches a compelling application in remote browsing of video, whose realization is not possible without efficient highly scalable video compression technology.  ...  Within each block, the motion model must be global and neither expansive nor contractive, exactly as for frame warping methods.  ... 
doi:10.1117/12.509873 fatcat:cvcni66e35edzklo563g7ni5v4

Video Quality Metrics [chapter]

Shahriar Akramullah
2014 Digital Video Concepts, Methods, and Metrics  
If the motion vector is equidistant from two of the filter planes, the spatio-temporal score is the mean of the SSIM-3D scores of the two filters.  ...  MOVIE utilizes a multi-scale spatio-temporal Gabor filter bank to decompose the videos and to compute motion vectors.  ... 
doi:10.1007/978-1-4302-6713-3_4 fatcat:h3ixkabeezd4lj6d6h5ntpm4gq

Towards Hybrid-Optimization Video Coding [article]

Shuai Huo, Dong Liu, Li Li, Siwei Ma, Feng Wu, Wen Gao
2022 arXiv   pre-print
Finally, we search for the global optimum among those local optimums.  ...  It searches for the best one among multiple starting points (i.e. modes). However, the search is not efficient enough.  ...  The proposed temporal merge mode is specially designed for temporally uniform motion.  ... 
arXiv:2207.05565v1 fatcat:dmplyc73drg4tg4hg6yysmx2ea

Advances in Video Compression System Using Deep Neural Network: A Review and Case Studies

Dandan Ding, Zhan Ma, Di Chen, Qingshuang Chen, Zoe Liu, Fengqing Zhu
2021 Proceedings of the IEEE  
It reviews various modules in video coding that could benefit from neural networks and provides case studies for each of these modules.  ...  This article targets video coding improvements for both individual blocks of the hybrid video encoder and jointly across multiple blocks including end-to-end approaches.  ...  We use the same feature extraction and model fitting approach as in the global motion coding tool in order to provide a more accurate motion model for the texture regions.  ... 
doi:10.1109/jproc.2021.3059994 fatcat:jlwrl7q7ufg5jjl3sptr2ero44

Generative Memorize-Then-Recall framework for low bit-rate Surveillance Video Compression [article]

Yaojun Wu, Tianyu He, Zhibo Chen
2020 arXiv   pre-print
In this paper, we figure out this issue by disentangling surveillance video into the structure of a global spatio-temporal feature (memory) for Group of Picture (GoP) and skeleton for each frame (clue)  ...  Traditional coding frameworks remove temporal redundancy in surveillance video by block-wise motion compensation, lacking the extraction and utilization of inherent structure information.  ...  For one video sequence, given a GoP x 1:T , we decompose the video content into a global spatio-temporal feature M (memory) and skeletons s 1:T (clues) for all frames that can be efficiently compressed  ... 
arXiv:1912.12847v3 fatcat:nfy5qwff25e4nm2mby4ip62zze

Measuring, modelling and Integrating Time-varying Video Quality in End-to-End Multimedia Service Delivery: A Review and Open Challenges

Chaminda T.E.R. Hewage, Arslan Ahmad, Thanuja Mallikarachchi, Nabajeet Barman, Maria G. Martini
2022 IEEE Access  
for global quality measurements, and Continuous Time-Varying Quality (CTVQ) models; 2) Future Challenges and Directions -we investigate ten major research challenges and future directions based on the  ...  state-of-the-art for QoE modelling, QoE-aware encoding/decoding and QoE monitoring/management of multimedia streaming in next-generation networks.  ...  We also highlight the need for global quality models based on pooling.  ... 
doi:10.1109/access.2022.3180491 fatcat:4mcyfjfd2zhrzl7qytj7vwkwsm

Blind Prediction of Natural Video Quality

Michele A. Saad, Alan C. Bovik, Christophe Charrier
2014 IEEE Transactions on Image Processing  
The contributions of this paper are threefold. 1) We propose a spatio-temporal natural scene statistics (NSS) model for videos. 2) We propose a motion model that quantifies motion coherency in video scenes  ...  The approach relies on a spatio-temporal model of video scenes in the discrete cosine transform domain, and on a model that characterizes the type of motion occurring in the scenes, to predict video quality  ...  The velocity of global motion can affect the perception of scene content. Accordingly, our model accounts for the magnitude of global motion.  ... 
doi:10.1109/tip.2014.2299154 pmid:24723532 fatcat:dd34l4uvgrcadiav42bixbsu3i
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