Using motion-compensated frame-rate conversion for the correction of 3:2 pulldown artifacts in video sequences

2000 ◽  
Vol 10 (6) ◽  
pp. 869-877 ◽  
Author(s):  
K. Hilman ◽  
Hyun Wook Park ◽  
Yongmin Kim
Keyword(s):  
Frame Rate ◽  
Video Sequences ◽  
Rate Conversion

44.4: Motion Compensated Frame Rate Conversion for Motion Blur Reduction

2007 ◽  
Vol 38 (1) ◽  
pp. 1454-1457 ◽  
Author(s):  
Erwin B. Bellers ◽  
Johan G. W. M. Janssen ◽  
Maurice Penners
Keyword(s):  
Motion Blur ◽  
Frame Rate ◽  
Rate Conversion

scholarly journals HFR Projector Camera Based Visible Light Communication System for Real-Time Video Streaming

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5368
Author(s):  
Atul Sharma ◽  
Sushil Raut ◽  
Kohei Shimasaki ◽  
Taku Senoo ◽  
Idaku Ishii
Keyword(s):  
Visible Light ◽  
Real Time ◽  
Video Streaming ◽  
Video Sequence ◽  
Vision System ◽  
Visible Light Communication ◽  
Gray Code ◽  
Frame Rate ◽  
Video Sequences ◽  
Color Video

This study develops a projector–camera-based visible light communication (VLC) system for real-time broadband video streaming, in which a high frame rate (HFR) projector can encode and project a color input video sequence into binary image patterns modulated at thousands of frames per second and an HFR vision system can capture and decode these binary patterns into the input color video sequence with real-time video processing. For maximum utilization of the high-throughput transmission ability of the HFR projector, we introduce a projector–camera VLC protocol, wherein a multi-level color video sequence is binary-modulated with a gray code for encoding and decoding instead of pure-code-based binary modulation. Gray code encoding is introduced to address the ambiguity with mismatched pixel alignments along the gradients between the projector and vision system. Our proposed VLC system consists of an HFR projector, which can project 590 × 1060 binary images at 1041 fps via HDMI streaming and a monochrome HFR camera system, which can capture and process 12-bit 512 × 512 images in real time at 3125 fps; it can simultaneously decode and reconstruct 24-bit RGB video sequences at 31 fps, including an error correction process. The effectiveness of the proposed VLC system was verified via several experiments by streaming offline and live video sequences.

scholarly journals A Perception-Driven Transcale Display Scheme for Space Image Sequences

2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
Lingling Zi ◽  
Xin Cong ◽  
Yanfei Peng ◽  
Pei Yang
Keyword(s):  
Rapid Development ◽  
Visual Saliency ◽  
Image Sequences ◽  
Image Resolution ◽  
Frame Rate ◽  
Multimedia Technology ◽  
High Quality ◽  
Target Trajectory ◽  
Rate Conversion ◽  
Space Image

With the rapid development of multimedia technology, the way of obtaining high-quality motion reproduction for space targets has attracted much attention in recent years. This paper proposes a Perception-driven Transcale Display Scheme, which significantly improves the awareness of multimedia processing. This new scheme contains two important modules, transcale description based on visual saliency and perception-driven display of space image sequences. The former concentrates on describing the transcle feature of space targets, including three algorithms, attention region computing, frame rate conversion, and image resolution resizing. On this basis, the latter focuses on high-quality display of space movements under different scales, including three algorithms, namely, target trajectory computing, space transcale display, and space movement display. Extensive quantitative and qualitative experimental evaluations demonstrate the effectiveness of the proposed scheme.

Comparison of Two Frame Rate Conversion Schemes for Reducing LCD Motion Blurs

2010 ◽  
Vol 17 (9) ◽  
pp. 783-786 ◽  
Author(s):  
Stanley H. Chan ◽  
Thomas X. Wu ◽  
Truong Q. Nguyen
Keyword(s):  
Frame Rate ◽  
Rate Conversion

scholarly journals A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2708 ◽  
Author(s):  
Jutamanee Auysakul ◽  
He Xu ◽  
Vishwanath Pooneeth
Keyword(s):  
Kalman Filter ◽  
Poor Performance ◽  
Video Data ◽  
Frame Rate ◽  
Video Sequences ◽  
Video Stabilization ◽  
Switching Function ◽  
Post Processing ◽  
The Poor ◽  
Hybrid Motion

Recorded video data must be clear for accuracy and faster analysis during post-processing, which often requires video stabilization systems to remove undesired motion. In this paper, we proposed a hybrid method to estimate the motion and to stabilize videos by the switching function. This method switched the estimated motion between a Kanade–Lucus–Tomasi (KLT) tracker and an IMU-aided motion estimator. It facilitated the best function to stabilize the video in real-time as those methods had numerous advantages in estimating the motion. To achieve this, we used a KLT tracker to correct the motion for low rotations and an IMU-aided motion estimator for high rotation, owing to the poor performance of the KLT tracker during larger movements. Furthermore, a Kalman filter was used to remove the undesired motion and hence smoothen the trajectory. To increase the frame rate, a multi-threaded approach was applied to execute the algorithm in the array. Irrespective of the situations exposed to the experimental results of the moving camera from five video sequences revealed that the proposed algorithm stabilized the video efficiently.

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