The Impact of View Spacing in Multi-view Video Compression Efficiency

Author(s):  
M. Abdoli ◽  
M. Soryani ◽  
A. F. Aminian Modarres
Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2872
Author(s):  
Miroslav Uhrina ◽  
Anna Holesova ◽  
Juraj Bienik ◽  
Lukas Sevcik

This paper deals with the impact of content on the perceived video quality evaluated using the subjective Absolute Category Rating (ACR) method. The assessment was conducted on eight types of video sequences with diverse content obtained from the SJTU dataset. The sequences were encoded at 5 different constant bitrates in two widely video compression standards H.264/AVC and H.265/HEVC at Full HD and Ultra HD resolutions, which means 160 annotated video sequences were created. The length of Group of Pictures (GOP) was set to half the framerate value, as is typical for video intended for transmission over a noisy communication channel. The evaluation was performed in two laboratories: one situated at the University of Zilina, and the second at the VSB—Technical University in Ostrava. The results acquired in both laboratories reached/showed a high correlation. Notwithstanding the fact that the sequences with low Spatial Information (SI) and Temporal Information (TI) values reached better Mean Opinion Score (MOS) score than the sequences with higher SI and TI values, these two parameters are not sufficient for scene description, and this domain should be the subject of further research. The evaluation results led us to the conclusion that it is unnecessary to use the H.265/HEVC codec for compression of Full HD sequences and the compression efficiency of the H.265 codec by the Ultra HD resolution reaches the compression efficiency of both codecs by the Full HD resolution. This paper also includes the recommendations for minimum bitrate thresholds at which the video sequences at both resolutions retain good and fair subjectively perceived quality.


2021 ◽  
pp. 109-115
Author(s):  
N.V. Bezdenezhnyh ◽  
◽  
V.E. Ivanov ◽  
A.V. Levenets ◽  
En Un Chye ◽  
...  

The paper examines the procedure of data preprocessing before compression, which involves enforced change of the original data width. The influence of such a procedure on the compression efficiency is estimated, the results of the study are presented, that show good perspectives of the proposed ap-proach.


2020 ◽  
Vol 2020 (10) ◽  
pp. 136-1-136-7
Author(s):  
Daniel J Ringis ◽  
François Pitié ◽  
Anil Kokaram

The majority of internet traffic is video content. This drives the demand for video compression in order to deliver high quality video at low target bitrates. This paper investigates the impact of adjusting the rate distortion equation on compression performance. An constant of proportionality, k, is used to modify the Lagrange multiplier used in H.265 (HEVC). Direct optimisation methods are deployed to maximise BD-Rate improvement for a particular clip. This leads to up to 21% BD-Rate improvement for an individual clip. Furthermore we use a more realistic corpus of material provided by YouTube. The results show that direct optimisation using BD-rate as the objective function can lead to further gains in bitrate savings that are not available with previous approaches.


1999 ◽  
Vol 35 (17) ◽  
pp. 1453 ◽  
Author(s):  
E.A. Edirisinghe ◽  
J. Jiang ◽  
C. Grecos

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 963
Author(s):  
Jin Young Lee

Scene description refers to the automatic generation of natural language descriptions from videos. In general, deep learning-based scene description networks utilize multimodalities, such as image, motion, audio, and label information, to improve the description quality. In particular, image information plays an important role in scene description. However, scene description has a potential issue, because it may handle images with severe compression artifacts. Hence, this paper analyzes the impact of video compression on scene description, and then proposes a simple network that is robust to compression artifacts. In addition, a network cascading more encoding layers for efficient multimodal embedding is also proposed. Experimental results show that the proposed network is more efficient than conventional networks.


2013 ◽  
Vol 380-384 ◽  
pp. 3710-3713
Author(s):  
Xiao Chen Jiang ◽  
Guo Ping Li ◽  
Hai Wu Zhao ◽  
Guo Zhong Wang

With the development of modern signal processing technology, the method of Wavelet Transform (WT) has been greatly used in image and video processing. In this paper, a method to use Discrete Wavelet Transform (DWT) in intra-frame (I-frame) video compression is proposed for the purpose of better compression efficiency and quality on the basis of good visual effects. The method can be functioned as a preprocessing of I-frame coding. The experimental results show that the proposed method has an increase in both coding efficiency and quality.


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