scholarly journals Deep Frame Interpolation for Video Compression

2019 ◽  
Author(s):  
Jean Begaint ◽  
Franck Galpin ◽  
Philippe Guillotel ◽  
Christine Guillemot
Keyword(s):  
Video Compression ◽  
Frame Interpolation

scholarly journals Efficient Video Frame Interpolation Using Generative Adversarial Networks

2020 ◽  
Vol 10 (18) ◽  
pp. 6245
Author(s):  
Quang Nhat Tran ◽  
Shih-Hsuan Yang
Keyword(s):  
Video Compression ◽  
State Of The Art ◽  
Motion Blur ◽  
The State ◽  
Frame Rate ◽  
Computational Time ◽  
Generative Adversarial Networks ◽  
Video Frame ◽  
Frame Interpolation ◽  
Frame Rate Up Conversion

Frame interpolation, which generates an intermediate frame given adjacent ones, finds various applications such as frame rate up-conversion, video compression, and video streaming. Instead of using complex network models and additional data involved in the state-of-the-art frame interpolation methods, this paper proposes an approach based on an end-to-end generative adversarial network. A combined loss function is employed, which jointly considers the adversarial loss (difference between data models), reconstruction loss, and motion blur degradation. The objective image quality metric values reach a PSNR of 29.22 dB and SSIM of 0.835 on the UCF101 dataset, similar to those of the state-of-the-art approach. The good visual quality is notably achieved by approximately one-fifth computational time, which entails possible real-time frame rate up-conversion. The interpolated output can be further improved by a GAN based refinement network that better maintains motion and color by image-to-image translation.

FID: Frame Interpolation and DCT-based Video Compression

2020 ◽  
Author(s):  
Yeganeh Jalalpour ◽  
Li-Yun Wang ◽  
Wu-Chi Feng ◽  
Feng Liu
Keyword(s):  
Video Compression ◽  
Frame Interpolation

A New Objective Quality Metric for Frame Interpolation Used in Video Compression

2008 ◽  
Vol 54 (3) ◽  
pp. 680-11 ◽  
Author(s):  
Kai-Chieh Yang ◽  
Ai-Mei Huang ◽  
T.Q. Nguyen ◽  
C.C. Guest ◽  
P.K. Das
Keyword(s):  
Video Compression ◽  
Frame Interpolation ◽  
Quality Metric ◽  
Objective Quality

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

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