scholarly journals Versatile Video Coding for 3.0 Next Generation Digital TV in Brazil

2021 ◽  
Vol 2021 (1) ◽  
pp. 9-17
Author(s):  
Thibaud Biatek ◽  
Mohsen Abdoli ◽  
Mickael Raulet ◽  
Adam Wieckowski ◽  
Christian Lehman ◽  
...  
Keyword(s):  
Video Coding ◽  
Compressed Video ◽  
Limited Bandwidth ◽  
Video Signals ◽  
4K Uhd ◽  
Time Encoding ◽  
Digital Broadcasting ◽  
Virtual And Augmented Reality ◽  
Video Broadcast ◽  
Successive Generations

In the past few decades, the video broadcast ecosystem has gone through major changes; Originally transmitted using analog signals, it has been more and more transitioned toward digital, leveraging compression technologies and transport protocols, principally developed by MPEG. Along this way, the introduction of new video formats was achieved with standardization of new compression technologies for their better bandwidth preservation. Notably, SD with MPEG-2, HD with H.264, 4K/UHD with HEVC. In Brazil, the successive generations of digital broadcasting systems were developed by the SBTVD Forum, from TV-1.0 to TV-3.0 nowadays. The ambition of TV-3.0 is significantly higher than that of previous generations as it targets the delivery of IPbased signals for applications, such as 8K, HDR, virtual and augmented reality. To deliver such services, compressed video signals shall fit into a limited bandwidth, requiring even more advanced compression technologies. The Versatile Video Coding standard (H.266/VVC), has been finalized by the JVET committee in 2021 and is a relevant candidate to address the TV3.0 requirements. VVC is versatile by nature thanks to its dedicated tools for efficient compression of various formats, from 8K to 360°, and provides around 50% of bitrate saving compared to its predecessor HEVC. This paper presents the VVC-based compression system that has been proposed to the SBTVD call for proposals for TV-3.0. A technical description of VVC and an evaluation of its coding performance is provided. In addition, an end-to-end live transmission chain is demonstrated, supporting 4K real-time encoding and decoding with a low glass-to-glass latency.

scholarly journals Reversible and Tunable Data Hiding with Advanced Video Coding

2020 ◽  
Vol 8 (5) ◽  
pp. 2056-2063
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
Compressed Video ◽  
Secret Image ◽  
Varying Coefficients ◽  
Proposed Model ◽  
Digital Broadcasting ◽  
Image Pixels ◽  
Advanced Video Coding ◽  
Technical Features

Due to broad usage of digital broadcasting application, information can be hackneyed and duplicated. Hence, multimedia security & copy right protection is becoming crucial. Steganography is an outstanding apparatus in providing protection as well as security to multimedia information by hiding digital content. H.264/Advanced Video Coding (AVC), a recent international standardized video coding technique which is under expansion, has presented a major revolution in video compression efficiency. The encoding efficiency of AVC is sophisticated than previous ethics such as H.263. In this paper, a complexity video embedding on H.264 is employed. So as to hide the secret image, chaos image encryption technique has been used where shuffling positions and altering grey values of image pixels are done. The secret image is embedded into video sequences by varying coefficients of I and P Frames. In decoding process, embedded information can be extracted without loss of compressed video content. Applications of proposed method include medicine, military where loss of carrier data is not permitted. Proposed model affords an overview of technical features and relative characteristics of H.264 standard that gives good PSNR and embedding capacity.

Scalable P2P Video Streaming

2012 ◽  
pp. 249-265
Author(s):  
Majed Alhaisoni ◽  
Mohammed Ghanbari ◽  
Antonio Liotta
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Video On Demand ◽  
Base Layer ◽  
P2p Networks ◽  
Limited Bandwidth ◽  
Layered Video ◽  
Rate Base ◽  
Hybrid P2p

P2P networks are a technology able to deliver real time and video-on-demand services over IP networks. Layered video coding techniques are being introduced due to their ability to deliver streams at different scales (temporal, spatial and SNR) that solve the heterogeneity problem. This eases transmission in the case of limited bandwidth, as the devices can pick and decode the minimum bit rate base layer. Existing work examines layered video in client-server scenarios. In contrast, this paper analyzes scalable coding H.264/SVC over P2P networks based on an SNR-temporal Codec. Due to the interdependency between the different SVC layers, issues of reliability and quality of experience arise unless proper measures are taken to protect the base layer. The authors explore the effectiveness of a combination of P2P strategies, for example, hybrid P2P architecture, P2P locality, and P2P redundancy, to assess the viability and benefits of scalable video coding over P2P. The resulting performance is compared with a state-of-the-art P2P TV platform.

Pattern Based Video Coding

2009 ◽  
pp. 469-483
Author(s):  
Manoranjan Paul ◽  
Manzur Murshed
Keyword(s):  
Video Coding ◽  
Video Transmission ◽  
Future Trends ◽  
Telephone Line ◽  
Limited Bandwidth ◽  
Recent Developments ◽  
Coding Standards ◽  
Efficient Video ◽  
Technology Advances

People’s demands are escalating with technology advances. Now, people are not happy with only text or voice messages, they like to see video as well. Video transmission through limited bandwidth, for example, an existing telephone line, requires an efficient video coding technique. Unfortunately, existing video coding standards have some limitations due to this demand. Recently, a pattern-based video coding technique has established its potentiality to improve the coding compared to the recent standard H.264 in the range of low bit rates. This chapter describes this technique with its background, features, recent developments, and future trends.

Scalable P2P Video Streaming

2010 ◽  
Vol 6 (3) ◽  
pp. 49-65 ◽  
Author(s):  
Majed Alhaisoni ◽  
Mohammed Ghanbari ◽  
Antonio Liotta
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Video On Demand ◽  
Base Layer ◽  
P2p Networks ◽  
Limited Bandwidth ◽  
Layered Video ◽  
Rate Base ◽  
P2p Video Streaming

P2P networks are a technology able to deliver real time and video-on-demand services over IP networks. Layered video coding techniques are being introduced due to their ability to deliver streams at different scales (temporal, spatial and SNR) that solve the heterogeneity problem. This eases transmission in the case of limited bandwidth, as the devices can pick and decode the minimum bit rate base layer. Existing work examines layered video in client-server scenarios. In contrast, this paper analyzes scalable coding H.264/SVC over P2P networks based on an SNR-temporal Codec. Due to the interdependency between the different SVC layers, issues of reliability and quality of experience arise unless proper measures are taken to protect the base layer. The authors explore the effectiveness of a combination of P2P strategies, for example, hybrid P2P architecture, P2P locality, and P2P redundancy, to assess the viability and benefits of scalable video coding over P2P. The resulting performance is compared with a state-of-the-art P2P TV platform.

scholarly journals Low delay error resilience algorithm for H.265|HEVC video transmission

2019 ◽  
Vol 17 (6) ◽  
pp. 2047-2063
Author(s):  
Taha T. Alfaqheri ◽  
Abdul Hamid Sadka
Keyword(s):  
Video Coding ◽  
Video Transmission ◽  
High Efficiency ◽  
Video Quality ◽  
Error Resilience ◽  
Video Codec ◽  
Compressed Video ◽  
High Efficiency Video Coding ◽  
Low Delay ◽  
The Impact

AbstractTransmission of high-resolution compressed video on unreliable transmission channels with time-varying characteristics such as wireless channels can adversely affect the decoded visual quality at the decoder side. This task becomes more challenging when the video codec computational complexity is an essential factor for low delay video transmission. High-efficiency video coding (H.265|HEVC) standard is the most recent video coding standard produced by ITU-T and ISO/IEC organisations. In this paper, a robust error resilience algorithm is proposed to reduce the impact of erroneous H.265|HEVC bitstream on the perceptual video quality at the decoder side. The proposed work takes into consideration the compatibility of the algorithm implementations with and without feedback channel update. The proposed work identifies and locates the frame’s most sensitive areas to errors and encodes them in intra mode. The intra-refresh map is generated at the encoder by utilising a grey projection method. The conducted experimental work includes testing the codec performance with the proposed work in error-free and error-prone conditions. The simulation results demonstrate that the proposed algorithm works effectively at high packet loss rates. These results come at the cost of a slight increase in the encoding bit rate overhead and computational processing time compared with the default HEVC HM16 reference software.

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