Universal Modeling of Monoscopic and Multiview Video Codecs with Applications to Encoder Control

2021 ◽  
Author(s):  
Marek Domanski ◽  
Yasir Al-Obaidi ◽  
Tomasz Grajek
Keyword(s):  
Video Codecs ◽  
Multiview Video

Spatial Interpolators for Intra-Frame Resampling of SAR Videos: A Comparative Study Using Real-Time HD, Medical and Radar Data

2020 ◽  
Vol 15 (2) ◽  
pp. 144-196 ◽  
Author(s):  
Mohammad R. Khosravi ◽  
Sadegh Samadi ◽  
Reza Mohseni
Keyword(s):  
Computational Complexity ◽  
Real Time ◽  
Video Compression ◽  
Nearest Neighbor ◽  
Radar Data ◽  
Edge Preservation ◽  
Edge Information ◽  
Video Codecs ◽  
Comparative Results ◽  
Interesting Area

Background: Real-time video coding is a very interesting area of research with extensive applications into remote sensing and medical imaging. Many research works and multimedia standards for this purpose have been developed. Some processing ideas in the area are focused on second-step (additional) compression of videos coded by existing standards like MPEG 4.14. Materials and Methods: In this article, an evaluation of some techniques with different complexity orders for video compression problem is performed. All compared techniques are based on interpolation algorithms in spatial domain. In details, the acquired data is according to four different interpolators in terms of computational complexity including fixed weights quartered interpolation (FWQI) technique, Nearest Neighbor (NN), Bi-Linear (BL) and Cubic Cnvolution (CC) interpolators. They are used for the compression of some HD color videos in real-time applications, real frames of video synthetic aperture radar (video SAR or ViSAR) and a high resolution medical sample. Results: Comparative results are also described for three different metrics including two reference- based Quality Assessment (QA) measures and an edge preservation factor to achieve a general perception of various dimensions of the mentioned problem. Conclusion: Comparisons show that there is a decidable trade-off among video codecs in terms of more similarity to a reference, preserving high frequency edge information and having low computational complexity.

Low-Rank Constrained Super-Resolution for Mixed-Resolution Multiview Video

2021 ◽  
Vol 30 ◽  
pp. 1072-1085
Author(s):  
Shao-Ping Lu ◽  
Sen-Mao Li ◽  
Rong Wang ◽  
Gauthier Lafruit ◽  
Ming-Ming Cheng ◽  
...  
Keyword(s):  
Super Resolution ◽  
Low Rank ◽  
Mixed Resolution ◽  
Multiview Video
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