Object boundary padding technique for improving MPEG-4 video compression efficiency

1999 ◽  
Vol 35 (17) ◽  
pp. 1453 ◽  
Author(s):  
E.A. Edirisinghe ◽  
J. Jiang ◽  
C. Grecos
Keyword(s):  
Video Compression ◽  
Object Boundary ◽  
Compression Efficiency

scholarly journals Impact of Scene Content on High Resolution Video Quality

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2872
Author(s):  
Miroslav Uhrina ◽  
Anna Holesova ◽  
Juraj Bienik ◽  
Lukas Sevcik
Keyword(s):  
Video Compression ◽  
Spatial Information ◽  
Video Quality ◽  
Video Sequences ◽  
Compression Efficiency ◽  
Opinion Score ◽  
Scene Description ◽  
Two Parameters ◽  
The University ◽  
The Impact

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.

Application of DWT in Intra-Frame Coding of Video Compression

2013 ◽  
Vol 380-384 ◽  
pp. 3710-3713
Author(s):  
Xiao Chen Jiang ◽  
Guo Ping Li ◽  
Hai Wu Zhao ◽  
Guo Zhong Wang
Keyword(s):  
Signal Processing ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Video Compression ◽  
Video Processing ◽  
Discrete Wavelet ◽  
Visual Effects ◽  
Compression Efficiency ◽  
Coding Efficiency ◽  
Image And Video Processing

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.

scholarly journals An Overview of Coding Tools in AV1: the First Video Codec from the Alliance for Open Media

2020 ◽  
Vol 9 ◽  
Author(s):  
Yue Chen ◽  
Debargha Mukherjee ◽  
Jingning Han ◽  
Adrian Grange ◽  
Yaowu Xu ◽  
...  
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
State Of The Art ◽  
Video Codec ◽  
Compression Tests ◽  
Video Technology ◽  
Compression Efficiency ◽  
Test Set ◽  
Decoding Complexity ◽  
Performance Gains

Abstract In 2018, the Alliance for Open Media (AOMedia) finalized its first video compression format AV1, which is jointly developed by the industry consortium of leading video technology companies. The main goal of AV1 is to provide an open source and royalty-free video coding format that substantially outperforms state-of-the-art codecs available on the market in compression efficiency while remaining practical decoding complexity as well as being optimized for hardware feasibility and scalability on modern devices. To give detailed insights into how the targeted performance and feasibility is realized, this paper provides a technical overview of key coding techniques in AV1. Besides, the coding performance gains are validated by video compression tests performed with the libaom AV1 encoder against the libvpx VP9 encoder. Preliminary comparison with two leading HEVC encoders, x265 and HM, and the reference software of VVC is also conducted on AOM's common test set and an open 4k set.

scholarly journals Load Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder

Algorithms ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 320
Author(s):  
Héctor Migallón ◽  
Otoniel López-Granado ◽  
Miguel O. Martínez-Rach ◽  
Vicente Galiano ◽  
Manuel P. Malumbres
Keyword(s):  
Load Balancing ◽  
Video Coding ◽  
Shared Memory ◽  
Video Compression ◽  
Software Package ◽  
Video Quality ◽  
Depth Resolution ◽  
Test Model ◽  
Video Traffic ◽  
Compression Efficiency

The proportion of video traffic on the internet is expected to reach 82% by 2022, mainly due to the increasing number of consumers and the emergence of new video formats with more demanding features (depth, resolution, multiview, 360, etc.). Efforts are therefore being made to constantly improve video compression standards to minimize the necessary bandwidth while retaining high video quality levels. In this context, the Joint Collaborative Team on Video Coding has been analyzing new video coding technologies to improve the compression efficiency with respect to the HEVC video coding standard. A software package known as the Joint Exploration Test Model has been proposed to implement and evaluate new video coding tools. In this work, we present parallel versions of the JEM encoder that are particularly suited for shared memory platforms, and can significantly reduce its huge computational complexity. The proposed parallel algorithms are shown to achieve high levels of parallel efficiency. In particular, in the All Intra coding mode, the best of our proposed parallel versions achieves an average efficiency value of 93.4%. They also had high levels of scalability, as shown by the inclusion of an automatic load balancing mechanism.

scholarly journals Research on Low Frame Rate Video Compression Algorithm in the Context of New Media

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yixin Yang ◽  
Zhiqang Xiang ◽  
Jianbo Li
Keyword(s):  
New Media ◽  
Linear Function ◽  
Video Compression ◽  
Compression Algorithm ◽  
Frame Rate ◽  
Linear Estimation ◽  
Image Block ◽  
Function Model ◽  
Compression Efficiency ◽  
Low Frame Rate

When using the current method to compress the low frame rate video animation video, there is no frame rate compensation for the video image, which cannot eliminate the artifacts generated in the compression process, resulting in low definition, poor quality, and low compression efficiency of the compressed low frame rate video animation video. In the context of new media, the linear function model is introduced to study the frame rate video animation video compression algorithm. In this paper, an adaptive detachable convolutional network is used to estimate the offset of low frame rate video animation using local convolution. According to the estimation results, the video frames are compensated to eliminate the artifacts of low frame rate video animation. After the frame rate compensation, the low frame rate video animation video is divided into blocks, the CS value of the image block is measured, the linear estimation of the image block is carried out by using the linear function model, and the compression of the low frame rate video animation video is completed according to the best linear estimation result. The experimental results show that the low frame rate video and animation video compressed by the proposed algorithm have high definition, high compression quality under different compression ratios, and high compression efficiency under different compression ratios.

scholarly journals Design of CABAC Entropy Decoding, Inverse Quantization, Inverse Transform Blocks of H.264 Decoder using Verilog HDL

2019 ◽  
Vol 8 (9S3) ◽  
pp. 255-259
Keyword(s):  
Video Compression ◽  
Hardware Implementation ◽  
Verilog Hdl ◽  
Compression Efficiency ◽  
Video Decoder ◽  
Inverse Transform ◽  
Inverse Quantization ◽  
Advanced Video Coding ◽  
Time Limitations

Video compression/decompression is a term used to define a method for compressing or decompressing digital video. There are different video compression /decompression standards. H.264 which is also known as Advanced Video Coding is a paradigm, most commonly used these days. The objective of developing H.264 is to devise a standard which can impart good quality of video at a nether bit rates as compared to previous standards. To improve compression efficiency, H.264 encoders/decoders uses complex algorithms and modes which require more power. From studies we know that software-based implementations of these encoders/decoders on DSPs and CPUs suffer by few real time limitations. Hence hardware implementation of video encoders and decoders are necessary. Here in this paper Entropy decoding, Inverse Transform and Inverse Quantization blocks of H.264 Video decoder are designed using Verilog and simulated by Xilinx ISE Simulator

Improved Video Compression Efficiency Through Flexible Unit Representation and Corresponding Extension of Coding Tools

2010 ◽  
Vol 20 (12) ◽  
pp. 1709-1720 ◽  
Author(s):  
Woo-Jin Han ◽  
Junghye Min ◽  
Il-Koo Kim ◽  
Elena Alshina ◽  
Alexander Alshin ◽  
...  
Keyword(s):  
Video Compression ◽  
Compression Efficiency
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