# Fast and Accurate Motion Estimation using Orientation Tensors and Parametric Motion Models

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 substantially better

than for previously published methods. Computationally the algorithm is simple and

can be implemented by means of separable convolutions, which also makes it fast.”

- Bruchoocagai Mp3
- Yhaudroigna Mp3
- Yfloilofloi Music
- Yphaignoutoo Mp3
- Jaukakveiw Music
- Znyvneiflaikro Mp3
- Brehnineisli Download
- Saqasleqau Sound
- Akoigloig Album
- Reklouzneh Music

http://www.imt.liu.se/mi/Publications/pdfs/gf2000a.pdf

# Fast and Efficient Algorithms for Text and Video Compression

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.”

# An Adaptive Error Concealment Mechanism For H.264/AVC Encoded Low-resolution Video Streaming

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

http://publik.tuwien.ac.at/files/pub-et_11103.pdf

# Advanced de-interlacing techniques

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.”

http://www.ics.ele.tue.nl/~dehaan/pdf/21_ProRisk.pdf

# Advanced De-Interlacing techniques with the use of Zonal Based Algorithms

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 compensation, but also an additional motion classification phase where, depending

on the motion of a pixel, additional spatial and temporal information is also considered

to further improve performance.”

# Packet Scheduling Algorithm for Wireless Video Streaming

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.

http://www-video.eecs.berkeley.edu/papers/sangk7/pv2002.doc

# A Hybrid Edge-enhanced Motion Adaptive De-interlacer

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 idea that jagged edges can be improved with additional processing.”

http://www.stanford.edu/class/ee392j/Winter2004/projects/marc/EE392JFinalReport.doc

# Overview of the MPEG-4 Standard

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

March 2001.

http://www.edgesoft.co.kr/download/edgedata/MPEG-4%20Overview.pdf

# Analyzed rate distortion model in standard video codecs for rate control

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

# Reduced slice headers and bit error resilience

by Till Halbach.

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

http://ftp3.itu.ch/av-arch/jvt-site/2002_05_Fairfax/JVT-C129.doc

# Adaptive Rate Control for JVT

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

http://ftp3.itu.ch/av-arch/jvt-site/2002_12_Awaji/JVT-F019r1.doc

# Optimum Bit Allocation and Rate Control for H.264/AVC

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.”

http://ftp3.itu.ch/av-arch/jvt-site/2005_04_Busan/JVT-O016.doc

# New Fast Binary Pyramid Motion Estimation for MPEG-2 and HDTV Encoding

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

http://research.microsoft.com/china/papers/Phase_Binary_Pyramid_Motion_Estimation_MPEG2_HD

TV.pdf

# True motion estimation - theory, application, and implementation

by Yen-Kuang Chen.

“This thesis offers an integrated perspective of the theory, applications, and implementation

of true motion estimation.”

http://www.geocities.com/ykchen913/thesis.pdf

# Sobol Partial Distortion Algorithm for Fast Full Search in Block Motion Estimation

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.”

http://citeseer.comp.nus.edu.sg/quaglia01sobol.html

# A Fast Adaptive Motion Estimation Algorithm

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.”

http://ranger.uta.edu/~iahmad/journal-papers/j58.pdf

# Detection Method and Removing Filter for Corner Outliers in Highly Compressed Video

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.

http://www.sfcc.re.kr/Attachment/psivt_corner.pdf

# A Fast Bits Estimation Method for Rate-Distortion Optimization in H.264/AVC

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”.

# Rate-Distortion optimal joint macroblock mode selection and motion estimation for MPEG-like video coders

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”.

http://www.ece.gatech.edu/research/labs/MCCL/pubs/dwnlds/kim_icip04_1.pdf

# Rate-Distortion Optimization for Video Compression

by Gary J. Sullivan and Thomas Wiegand.

http://citeseer.ist.psu.edu/sullivan98ratedistortion.html

# Notes on “Rate-Distortion Methods for Image and Video Compression”

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

# A Frame-Layer Rate Control Algorithm for H.264 Using Rate-Dependent Mode Selection

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.

http://rbrc.gist.ac.kr/paper/56.pdf

# Efficient Cost Measures for Motion Estimation at Low Bit Rates

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”.

http://citeseer.ist.psu.edu/hoang98efficient.html

# Video Bit-Rate Control with Spline. Approximated Rate-Distortion Characteristics

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, it does not control the buer to prevent buer

overflow. Several rate-distortion (R-D) based techniques have been proposed.

The new approaches solved all these problems and generate better and more

stable results. However, these approaches are complex because they require the

R-D characteristics of the input data to be measured before making quantization

assignment decisions.

In this research, we show how the complexity of computing the R-D data can be

reduced without reducing too much the performance of the optimization procedure.”

http://sipi.usc.edu/~ortega/PhDTheses/LiangjinLin.pdf

# PyLZMA homepage

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

http://www.joachim-bauch.de/projects/python/pylzma/

# Overview of MPEG-2 Test Model 5

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

# MPEG-4 Video Verification Model version 18.0

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

http://www.chiariglione.org/mpeg/working_documents/mpeg-04/visual/video_vm.zip

# H.263 : Video coding for low bit rate communication

ITU-T recommendation H.263. Approved in January 2005.

http://www.itu.int/rec/T-REC-H.263/e

# The H.264/AVC Advanced Video Coding Standard: Overview and Introduction to the Fidelity Range Extensions

by Gary J. Sullivan, Pankaj Topiwala, and Ajay Luthra. Overview of H.264/AVC standart.

http://www.cdt.luth.se/~peppar/kurs/smd151/spie04-h264OverviewPaper.pdf