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Bidirectional Mesh-Based Frame Rate Up-Conversion

IEEE MultiMedia, 2015
The authors propose a new frame rate up-conversion (FRUC) method for temporal video quality enhancement. To cope with translation as well as scale and rotation changes, the algorithm generates an interpolated frame between two given frames on the basis of bidirectional mesh interpolation (BMI).
Kyung-Yeon Min   +3 more
openaire   +1 more source

Weighted-adaptive motion-compensated frame rate up-conversion

IEEE Transactions on Consumer Electronics, 2003
In this paper, we propose a frame rate upconversion algorithm using the weighted-adaptive motion-compensated interpolation (WAMCI) that reduces the block artifacts due to the failure of motion estimation and block-based processing. The proposed method is based on the interpolation scheme by weighted sum of multiple motion-compensated interpolation (MCI)
null Sung-Hee Lee   +2 more
openaire   +2 more sources

Encoder assisted video frame rate up-conversion

2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU), 2011
With the use of motion compensation techniques, video frame rate up-conversion (FRC) achieves sharp and continuous motion representation and hence improves visual quality. However, motion estimation errors create artifacts that degrade the performance of FRC methods.
Burak Cizmeci, Hasan F. Ates
openaire   +1 more source

Solving occlusion in Frame-Rate up-Conversion

2007 Digest of Technical Papers International Conference on Consumer Electronics, 2007
Tracking motion of moving objects in a video scene by the human eye results in a stationary picture on the retina. However, if the motion is irregular, tracking can be difficult, resulting in the perception of motion blur or motion judder. This is a typical result due to the broadcast of film material.
E.B. Bellers   +4 more
openaire   +1 more source

A LLM-Based Video Frame Rate Up-Conversion Method for the Low-Cost IoT Node

International Journal of High Speed Electronics and Systems
The rapid development of the Internet of Things (IoT) has significantly expanded its application scope, making it a cornerstone for emerging technologies such as big data and artificial intelligence.
Ran Li, Zhen Yang, Xiao Tu
semanticscholar   +1 more source

Frame Rate Up-Conversion Using Bi-Directional Optical Flows With Dual Regularization

International Conference on Information Photonics, 2020
In this paper, we present a frame rate up-conversion (FRUC) scheme that uses optical flows in forward and backward directions and with two different regularization parameters to derive alternative motion vector fields.
Rahul Vanam, Y. Reznik
semanticscholar   +1 more source

Frame rate up-conversion using perspective transform

IEEE Transactions on Consumer Electronics, 2006
In this paper, we propose a frame rate up-conversion (FRUC) algorithm to increase the temporal resolution of video sequences at the decoder side. First, the proposed algorithm segments a frame into several objects. Then, perspective transforms are used to motion-compensate each object, while the translational block matching algorithm (BMA) is applied ...
null Byeong-Doo Choi   +3 more
openaire   +1 more source

Identification of Motion-Compensated Frame Rate Up-Conversion Based on Residual Signals

IEEE transactions on circuits and systems for video technology (Print), 2018
Motion-compensated frame rate up-conversion (MC-FRUC) is originally presented to increase the motion continuity of low frame rate videos by periodically inserting new frames, which improves the viewing experience.
Xiangling Ding   +5 more
semanticscholar   +1 more source

A method for motion adaptive frame rate up-conversion

IEEE Transactions on Circuits and Systems for Video Technology, 1996
A frame interpolation algorithm for frame rate up-conversion of progressive image sequences is proposed. The algorithm is based on simple motion compensation and linear interpolation. A motion vector is searched for each pixel in the interpolated image and the resulting motion field is median filtered to remove inconsistent vectors. Averaging along the
R. Castagno   +2 more
openaire   +2 more sources

High-Order Model and Dynamic Filtering for Frame Rate Up-Conversion

IEEE Transactions on Image Processing, 2018
This paper proposes a novel frame rate up-conversion method through high-order model and dynamic filtering (HOMDF) for video pixels. Unlike the constant brightness and linear motion assumptions in traditional methods, the intensity and position of the ...
Wenbo Bao   +4 more
semanticscholar   +1 more source

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