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Video frame rate up conversion under inconsistent camera
SPIE Proceedings, 2006In this paper, we address the problem of video frame rate up conversion (FRC) in compressed domain. FRC is often recognized as video temporal interpolation. The problem is very challenging when targeted for a video sequence with an inconsistent camera and object motion.
Jinsong Wang +2 more
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A novel method for frame rate up-conversion
2011 International Conference on Image Analysis and Signal Processing, 2011In this paper, we proposed a new motion compensated interpolation (MCI) algorithm for frame rate up-conversion (FRUC) in multimedia applications. First, we propose the bilateral motion estimation (ME) scheme to obtain the motion field of an interpolated frame without yielding the hole and overlapping problems. Secondly, we partition the block which the
null Haiping Hu, null Guoying Liu
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Spatiotemporal directional coherence-based scrolling-text detection for frame rate up-conversion
Displays (Guildford), 2023Ho Sub Lee, Sung In Cho
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Frame rate up conversion via Bayesian motion estimation
SPIE Proceedings, 2010In this paper, a novel block-based motion compensated frame interpolation (MCI) algorithm is proposed to enhance the temporal resolution of video sequences. We formulated motion estimation into MAP framework, and solved it via Bayesian belief propagation.
Yue Wang, Siwei Ma, Wen Gao
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Hierarchical motion estimation algorithm using multiple candidates for frame rate up-conversion
Other Conferences, 2019Motion estimation (ME) has the highest computational complexity in motion-compensated frame rate up-conversion (MC-FRUC). For the real-time implementation of FRUC, a fast ME algorithm is required.
Songhyun Yu, Jechang Jeong
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A Motion Adaptive Wavelet-Denoising for Frame-Rate Up-Conversion
Applied Mechanics and Materials, 2016This study introduces a frame-rate up-conversion method that uses a temporal wavelet zerotree-based shrinkage algorithm over motion trajectory of a video obtained by optical flow. The method starts by optical flow estimation for predicting initial estimates of inserted frame pixels. Then, the predicted frame pixels are denoised using a specific wavelet-
Görgülü, Şükrü, Gerek, Ömer Nezih
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Occlusion Aware Motion Compensation for Video Frame Rate Up-Conversion
Signal and Image Processing, 2010Since the emergence of high definition (HD) display technologies, video standards conversion problem has become an important issue in storage, transmission and display of video content. Video frame rate up-conversion (FRUC) is considered as a standard task for today’s HD displays because these displays reach high refresh rates of at least 100/120 Hz ...
Çizmeci, Burak, Ateş, Hasan Fehmi
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Spatio-Temporal Convolutional Neural Network for Frame Rate Up-Conversion
Proceedings of the 2019 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 2019The visual quality of the video is improved by realizing higher resolution and higher frame rate. In order to realize higher frame rate, we propose new frame rate up-conversion method using spatio-temporal convolutional neural network.
Yusuke Tanaka, T. Omori
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Accurate Frame Rate Up-Conversion for Advanced Visual Quality
IEEE Transactions on Broadcasting, 2016Motion-compensated frame rate up-conversion (FRUC) is a method for providing better video image quality than non-motion-based methods. However, incorrect motion vector (MV) prediction can lead to continued induction of debris and artifacts. In this paper, a motion compensated FRUC algorithm is proposed, which is able to acquire more accurate MVs by ...
Tsung-Han Tsai +2 more
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Multi-Layer Frame Rate Up-Conversion Using Trilateral Filtering for Multi-View Video
IEEE transactions on circuits and systems for video technology (Print), 2019Frame rate up-conversion (FRUC) is a technology for generating a higher frame rate video from one with a lower frame rate. The multi-view plus depth map (MVD) system has been recently considered a promising solution for three-dimensional video systems ...
Yoonmo Yang, J. Hong, Byung Tae Oh
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