Image segmentation based on object oriented mapping parameter estimation
Signal Processing
Introduction to data compression
Introduction to data compression
Global motion estimation in image sequences using robust motion vector field segmentation
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Block matching displacement estimation: a sliding window approach
Information Sciences: an International Journal - Dictionary based compression
Digital Image Warping
Video Compression
MPEG Video Compression Standard
MPEG Video Compression Standard
Video Processing and Communications
Video Processing and Communications
A mask matching approach for video segmentation on compressed data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent multimedia computing and networking
Fuzzy relation equations for coding/decoding processes of images and videos
Information Sciences—Informatics and Computer Science: An International Journal
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Performance comparison of the emerging H.264 video coding standard with the existing standards
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
A new feature extractor invariant to intensity, rotation, and scaling of color images
Information Sciences: an International Journal
New techniques on deformed image motion estimation and compensation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Efficient, robust, and fast global motion estimation for video coding
IEEE Transactions on Image Processing
Error concealment for shape in MPEG-4 object-based video coding
IEEE Transactions on Image Processing
Two-stage motion compensation using adaptive global MC and local affine MC
IEEE Transactions on Circuits and Systems for Video Technology
Global motion parameters estimation using a fast and robust algorithm
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Fast gradient methods based on global motion estimation for video compression
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Global motion estimation from coarsely sampled motion vector field and the applications
IEEE Transactions on Circuits and Systems for Video Technology
Video de-interlacing by adaptive 4-field global/local motion compensated approach
IEEE Transactions on Circuits and Systems for Video Technology
Complexity accuracy tradeoffs of Lie operators in motion estimation
Pattern Recognition Letters
Acquisition of translational motion by the parallel trinocular
Information Sciences: an International Journal
Fast and accurate global motion estimation algorithm using pixel subsampling
Information Sciences: an International Journal
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Conventional translation-only motion estimation algorithms cannot cope with transformations of objects such as scaling, rotations and deformations. Motion models characterizing non-translation motions are thus beneficial as they offer more accurate motion estimation and compensation. In this paper, we introduce low-complexity transformation estimation methods with four motion models based on Lie operators, which are linear operators that have found applications in optical character recognitions. We show that individual Lie operators are capable of capturing small degrees of object transformations. We propose an efficient local transformation estimation algorithm in order to further improve the accuracy of the translation-only estimation by integrating all four motion models. Simulations with an MPEG-2 video codec on two video sequences show that the proposed transformation estimation approach can noticeably improve the motion compensation performance of the translation-only method by achieving higher PSNR (peak signal-to-noise ratio) values for the predicted frames, with only a small fraction of the complexity required by the translation motion search.