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Adaptive Temporal Frame Interpolation Algorithm for Frame Rate Up-Conversion

IEEE Consumer Electronics Magazine, 2020
This article presents a novel adaptive temporal frame interpolation (FI) algorithm for frame rate up-conversion with reduced complexity. According to the adaptability criteria in the proposed algorithm, frames with a low temporal activity are interpolated using frame averaging, which significantly decreases the algorithm complexity.
Denis Vranjes   +2 more
openaire   +3 more sources

Frame Rate Up-Conversion Based on Edge Information

2019 7th International Conference on Information, Communication and Networks (ICICN), 2019
This paper proposes a Frame Rate Up-Conversion method based on edge information which synthesize edge information with the motion estimation and motion compensation. The proposed method uses variable block motion estimation for accuracy motion vector field, and improves the image quality via edge information. Experimental results show that the proposed
Yunlong Zhao, Guangying Ge, Qun Sun
openaire   +2 more sources

Transformer-based Deep Frame Rate up Conversion for Hybrid High-Efficiency Video Coding

Visual Communications and Image Processing, 2023
Mainstream state-of-the-art video compression standards such as High-Efficiency Video Coding (HEVC/H.265) and Versatile Video Coding (VVC/H.266) are block-based coding. On the other hand, neural video compression networks have obtained impressive results
Van Thang Nguyen, Manh Hung Lu
semanticscholar   +1 more source

Forgery Detection Scheme of Deep Video Frame-rate Up-conversion Based on Dual-stream Multi-scale Spatial-temporal Representation

International Conference on Trust, Security and Privacy in Computing and Communications, 2022
Video Frame-Rate Up-Conversion (FRUC) is originally designed to produce the high frame-rate video by periodically inserting new frames between two adjacent frames. However, it can also be utilized to synthesize the faked high frame-rate videos or spliced
Qingshui Gu   +3 more
semanticscholar   +1 more source

Frame Rate Up-Conversion for HDR Video Using Dual Exposure Camera

IEEE International Conference on Consumer Electronics, 2022
In this paper, we propose a new frame rate up-conversion (FRUC) for HDR video using a dual exposure camera that captures alternating frames with two different exposure levels (short and long).
Hak Choi, Jae-Won Kim, Hojae Lee
semanticscholar   +1 more source

Spatio-temporal Saliency-based Motion Vector Refinement for Frame Rate Up-conversion

ACM Trans. Multim. Comput. Commun. Appl., 2020
A spatio-temporal saliency-based frame rate up-conversion (FRUC) approach is proposed, which achieves better quality of interpolated frames and invalidates existing texture variation-based FRUC detectors.
Jiale He   +3 more
semanticscholar   +1 more source

Occlusion adaptive frame rate up-conversion

2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin), 2011
This paper presents a novel occlusion adaptive frame rate up-conversion method. The proposed method consists of two main steps; true motion estimation and directionally adaptive motion compensated interpolation. In order to reliably estimate the motion vectors of occlusion regions without increasing the number of frames, forward and backward directed ...
Burak Ozkalayc   +2 more
openaire   +1 more source

Improved HEVC video compression algorithm using low-complexity frame rate up conversion

J. Electronic Imaging, 2021
. The high-efficiency video coding (HEVC) standard can reduce the bit rate of compression video. However, the compression efficiency of HEVC is still challenging current internet bandwidth.
Hongwei Lin   +3 more
semanticscholar   +1 more source

Multiple Objective Frame Rate Up Conversion

2005 IEEE International Conference on Multimedia and Expo, 2005
In this paper, we propose a multiple objective frame rate up conversion algorithm (MOFRUC), which utilizes two different models. The first model is a constant velocity model that assumes the objects position is a linear function of time. The second model exploits the spatial correlation between neighboring blocks, and assumes the pixel intensity is ...
null Tak-Song Chong   +3 more
openaire   +1 more source

Weighted Convolutional Motion-Compensated Frame Rate Up-Conversion Using Deep Residual Network

IEEE transactions on circuits and systems for video technology (Print), 2020
Frame rate up-conversion (FRUC) usually suffers from unreliable motion vectors due to the absence of the current frame to be interpolated. In addition, since the majority of video sequences are usually compressed by various coding standards to reduce the
Yongbing Zhang   +5 more
semanticscholar   +1 more source

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