MULTI-RESOLUTION MOTION ESTIMATION FOR MOTION COMPENSATED FRAME INTERPOLATION

Date

2010-09-29

Author

Guenyel, Bertan
Alatan, Abdullah Aydın

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

416
views

0
downloads

A multi-resolution motion estimation scheme is proposed for tracking of the true 2D motion in video sequences for motion compensated image interpolation. The proposed algorithm utilizes frames with different resolutions and adaptive block dimensions for efficient representation of motion. Firstly, motion vectors for each block are assigned as a result of predictive search in each pass. Then, the outlier motion vectors are detected and corrected at the end of each pass. Simulation results with respect to different quality metrics reveal that the motion fields generated by the proposed algorithm is of high quality, when compared with state-of-the-art motion estimation algorithms in literature.

Subject Keywords

true motion estimation, Multi-resolution motion estimation, Motion compensated interpolation, Frame rate up conversion

URI

https://hdl.handle.net/11511/47291

DOI

https://doi.org/10.1109/icip.2010.5651076

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

3-D motion estimation of rigid objects for video coding applications using an improved iterative version of the E-matrix method Alatan, Abdullah Aydın (1998-02-01) As an alternative to current two-dimensional (2-D) motion models, a robust three-dimensional (3-D) motion estimation method is proposed to be utilized in object-based video coding applications, Since the popular E-matrix method is well known for its susceptibility to input errors, a performance indicator, which tests the validity of the estimated 3-D motion parameters both explicitly and implicitly, is defined. This indicator is utilized within the RANSAC method to obtain a robust set of 2-D motion correspo...
Correlation tracking based on wavelet domain information Ipek, HL; Yilmaz, I; Yardimci, YC; Cetin, AE (2003-08-07) Tracking moving objects in video can be carried out by correlating a template containing object pixels with pixels of the current frame. This approach may produce erroneous results under noise. We determine a set of significant pixels on the object by analyzing the wavelet transform of the template and correlate only these pixels with the current frame to determine the next position of the object. These significant pixels are easily trackable features of the image and increase the performance of the tracker.
GIBBS RANDOM FIELD MODEL BASED 3-D MOTION ESTIMATION BY WEAKENED RIGIDITY Alatan, Abdullah Aydın (1994-01-01) 3-D motion estimation from a video sequence remains a challenging problem. Modelling the local interactions between the 3-D motion parameters is possible by using Gibbs random fields. An energy function which gives the joint probability distribution of the motion vectors, is constructed. The most probable motion vector set is found by maximizing the probability, represented by this distribution. Since the 3-D motion estimation problem is ill-posed, the regularization is achieved by an initial rigidity assum...
FRAME-RATE CONVERSION FOR MULTIVIEW VIDEO EXPLOITING 3D MOTION MODELS Gedik, O. Serdar; Alatan, Abdullah Aydın (2010-09-29) A frame-rate conversion (FRC) scheme for increasing the frame-rate of multiview video for reduction of motion blur in hold-type displays is proposed. In order to obtain high quality inter-frames, the proposed method utilizes 3D motion models relying on the 3D scene information extractable from multiview video. First of all, independently moving objects (IMOs) are segmented by using a depth-based object segmentation method. Then, interest points on IMOs are obtained via scale invariant feature transform (SIF...
TEMPORALLY CONSISTENT LAYER DEPTH ORDERING VIA PIXEL VOTING FOR PSEUDO 3D REPRESENTATION Turetken, Engin; Alatan, Abdullah Aydın (2009-05-06) A new region-based depth ordering algorithm is proposed based on the segmented motion layers with affine motion models. Starting from an initial set of layers that are independently extracted for each frame of an input sequence, relative depth order of every layer is determined following a bottom-to-top approach from local pair-wise relations to a global ordering. Layer sets of consecutive time instants are warped in two opposite directions in time to capture pair-wise occlusion relations of neighboring lay...

Citation Formats

B. Guenyel and A. A. Alatan, “MULTI-RESOLUTION MOTION ESTIMATION FOR MOTION COMPENSATED FRAME INTERPOLATION,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47291.