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read more from " Multiresolution Motion Estimation Using An Affine Model "

by Gunnar Farneback.
“This paper presents a novel motion estimation algorithm, which gives excellent results on both counts.
The algorithm starts by computing 3D orientation tensors from the image sequence. These are
combined under the constraints of a parametric motion model to produce velocity estimates. Evaluated
on the well-known Yosemite sequence, the algorithm shows an accuracy which is […]

read more from " Fast and Accurate Motion Estimation using Orientation Tensors and Parametric Motion Models "

by Dirk Robinson and Peyman Milanfar.
“Motivated by the need for fast and accurate motion estimation for compression, storage, and
transmission of video as well as other applications of motion estimation, we present algorithms
for estimating affine motion from video image sequences. Our methods utilize properties
of the Radon transform to estimate image motion in a multiscale […]

read more from " Fast Local and Global Projection-Based Methods for Affine Motion Estimation "

by Dzung Tien Hoang and Jeffrey Scott Vitter.

read more from " Fast and Efficient Algorithms for Video Compression and Rate Control "

by Dzung Tien Hoang.
“There is a tradeoff between the speed of a data compressor and the level of compression it can
achieve. Improving compression generally requires more computation; and improving speed generally
sacrifices compression. In this thesis, we examine a range of tradeoffs for text and video.”

read more from " Fast and Efficient Algorithms for Text and Video Compression "

by Olivia Nemethova, Ameen Al-Moghrabi and Markus Rupp.

read more from " An Adaptive Error Concealment Mechanism For H.264/AVC Encoded Low-resolution Video Streaming "

by E.B. Bellers and G. de Haan.
“This paper presents an overview of deinterlacing techniques and describes some advanced motion
compensated de-interlacing techniques in more detail. These motion compensated methods
are analyzed and mutually compared. It is concluded that the success of motion compensated
de-interlacing depends critically on a protection mechanism.”

read more from " Advanced de-interlacing techniques "

Alexis M. Tourapis, Oscar C. Au, Ming L. Liou.
“This paper describes a new highly efficient deinterlacing approach based on motion estimation and
compensation techniques. The proposed technique mainly benefits from the motion vector properties
of zonal based algorithms, such as the Advanced Predictive Diamond Zonal Search (APDZS) and
the Predictive Motion Vector Field Adaptive Search Technique (PMVFAST), multihypothesis
motion […]

read more from " Advanced De-Interlacing techniques with the use of Zonal Based Algorithms "

by Sang H. Kang and Avideh Zakhor.
In this paper a class of packet scheduling algorithms for video streaming over wireless channels by applying different deadline thresholds to video packets (VP) with different importance is proposed.

read more from " Packet Scheduling Algorithm for Wireless Video Streaming "

by Marc Ramirez.
“Many methods have been proposed to perform high quality de-interlacing but few of them are computationally efficient enough to be implemented in a fast software application. In order to come closer to this goal, this paper discusses a non-motion compensated (Non-MC) hybrid de-interlacer which benefits from a proposed HDTV de-interlacer and the […]

read more from " A Hybrid Edge-enhanced Motion Adaptive De-interlacer "

MPEG-4 Overview - (V.18 – Singapore Version). ISO/IEC JTC1/SC29/WG11 N4030,
March 2001.

read more from " Overview of the MPEG-4 Standard "

by Rezaei, M.; Gabbouj, M.; Wenger, S.

read more from " Analyzed rate distortion model in standard video codecs for rate control "

by Till Halbach.
“This contribution presents a solution for effective handling of residual errors in the code stream.”

read more from " Reduced slice headers and bit error resilience "

by Zhengguo Li, Feng Pan, Keng Pang Lim, Genan Feng, Xiao Lin and Susanto Rahardja.

read more from " Adaptive Rate Control for JVT "

by Zhengguo Li, Feng Pan, Keng Pang Lim, Genan Feng, Xiao Lin and Susanto Rahardja.
The authors says “In this proposal, we present an adaptive picture layer rate control scheme for JVT by introducing a linear model to predict the mean absolute difference (MAD) of current picture by that of previous picture.”

read more from " Optimum Bit Allocation and Rate Control for H.264/AVC "

by Xudong Song, Tihao Chiang, Xiaobing Lee, and Ya-Qin Zhang.

read more from " New Fast Binary Pyramid Motion Estimation for MPEG-2 and HDTV Encoding "

by Yen-Kuang Chen.
“This thesis offers an integrated perspective of the theory, applications, and implementation
of true motion estimation.”

read more from " True motion estimation - theory, application, and implementation "

by Davide Quaglia, Bartolomeo Montrucchio.
The full search algorithm (Sobol Partial Distortion - SPD) presented in this article “uses a new matching
strategy to quickly compute distortion and reduce block matching computation.”

read more from " Sobol Partial Distortion Algorithm for Fast Full Search in Block Motion Estimation "

by Ishfaq Ahmad, Senior Member, IEEE, Weiguo Zheng, Member, IEEE, Jiancong Luo, Member, IEEE,
and Ming Liou, Life Fellow, IEEE.
The authors says “the proposed algorithm takes advantage of the correlation between MVs in both
spatial and temporal domains, controls to curb the search, avoids of search stationary regions, and
uses switchable shape search patterns to accelerate motion search.”

read more from " A Fast Adaptive Motion Estimation Algorithm "

by Jongho Kim, Kicheol Jeon, and Jechang Jeong.
In this paper a detection method and a removal filter for corner outliers in order to improve visual quality in highly compressed video is proposed.

read more from " Detection Method and Removing Filter for Corner Outliers in Highly Compressed Video "

by Quqing Chen, Yun He.
“In this paper, a simple and fast bits estimation method for entropy coding is proposed
and used in RDO so that the number of entropy-coded bits can be quickly predicted
without entropy coding”.

read more from " A Fast Bits Estimation Method for Rate-Distortion Optimization in H.264/AVC "

A paper by Hyungjoon Kim and Yucel Altunbasak that describes a proposed “a joint macroblock mode
selection and motion estimation by employing a computationally efficient, yet highly-effective rate-distortion model”.

read more from " Rate-Distortion optimal joint macroblock mode selection and motion estimation for MPEG-like video coders "

by Gary J. Sullivan and Thomas Wiegand.

read more from " Rate-Distortion Optimization for Video Compression "

by A. Ortega and K. Ramchandran (IEEE Signal Processing Magazine Nov. 1998 pp. 23 – 50)

read more from " Notes on “Rate-Distortion Methods for Image and Video Compression” "

A article by Jun-Yup Kim, Seung-Hwan Kim, and Yo-Sung Ho that describes a proposed new bit
allocation scheme for intra frame and inter frame.

read more from " A Frame-Layer Rate Control Algorithm for H.264 Using Rate-Dependent Mode Selection "

by Dzung T. Hoang, Philip M. Long, and Jeffrey Scott Vitter, Fellow, IEEE.
The authors says “We present and compare methods for choosing
motion vectors for block-based motion-compensated video coding”.

read more from " Efficient Cost Measures for Motion Estimation at Low Bit Rates "

by Liang-Jin Lin.
The author says “The control scheme defined in MPEG Test Model 5 provides
a solution with very light computational overhead. However, the results are not
always good for any given video sequence and channel rates. It is also difficult
to adjust parameters to improve the quality without the help of some trial and
error encoding tests. Moreover, […]

read more from " Video Bit-Rate Control with Spline. Approximated Rate-Distortion Characteristics "

PyLZMA allows to use LZMA SDK in Python, using LZMA compression by Igor Pavlov

read more from " PyLZMA homepage "

This document contains modified chapters from the original (now outdated) Test Model 5 document that pertain to MPEG-2 Video Main Profile.

read more from " Overview of MPEG-2 Test Model 5 "

ISO/IEC recommendation MPEG-4 Visual (JTC1/SC29/WG11 N3908). Approved January 2001.

read more from " MPEG-4 Video Verification Model version 18.0 "