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Journal ArticleDOI

HEVC: The New Gold Standard for Video Compression: How Does HEVC Compare with H.264/AVC?

TLDR
In this paper, the Joint Collaborative Team on Video Coding (JCT-VC) was established with the objective to develop a new high-performance video coding standard for mobile applications.
Abstract
Digital video has become ubiquitous in our everyday lives; everywhere we look, there are devices that can display, capture, and transmit video. The recent advances in technology have made it possible to capture and display video material with ultrahigh definition (UHD) resolution. Now is the time when the current Internet and broadcasting networks do not even have sufficient capacity to transmit large amounts of HD content-Let alone UHD. The need for an improved transmission system is more pronounced in the mobile sector because of the introduction of lightweight HD resolutions (such as 720 pixel) for mobile applications. The limitations of current technologies prompted the International Standards Organization/International Electrotechnical Commission Moving Picture Experts Group (MPEG) and International Telecommunication Union-Telecommunication Standardization Sector Video Coding Experts Group (VCEG) to establish the Joint Collaborative Team on Video Coding (JCT-VC), with the objective to develop a new high-performance video coding standard.

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Citations
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Proceedings ArticleDOI

An efficient hardware architecture for interpolation filter of HEVC decoder

TL;DR: A new flexible hardware architecture for half and quarter fractional pixels used in the interpolation filter is proposed in this paper and can process the whole fractional positions of 4×4 PU (prediction unit) in only 30 clock cycles and support a maximal throughput of QFHD@30fps at 185 MHZ.
Proceedings ArticleDOI

Performance Evaluation of Batch Encodings in HEVC Using Slice Level Parallelism

TL;DR: This paper evaluates the performance of slice level parallelism in HEVC encoding when a batch of encoding jobs is submitted to the system, with CPU core requirements potentially exceeding the available resources.
Journal ArticleDOI

Efficient VLSI architecture of 3D discrete transformation

M Mohamed Asan Basiri
- 01 Jan 2022 - 
TL;DR: In this paper, a generic VLSI architecture for performing (N × N × N )-point discrete transformation is proposed, where the tradeoff in the proposed design is the number of cycles to complete the operation.
Proceedings ArticleDOI

QoE Assessment of Video Codecs for Video Streaming over 5G Networks

TL;DR: A comparative analysis and QoE assessment over the most recent video codecs in terms of video transmission over 5G networks are presented, taking into account performance metrics considering the bitrate savings versus the image quality.
References
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Journal ArticleDOI

Overview of the H.264/AVC video coding standard

TL;DR: An overview of the technical features of H.264/AVC is provided, profiles and applications for the standard are described, and the history of the standardization process is outlined.
Proceedings ArticleDOI

Sample adaptive offset for HEVC

TL;DR: A new video coding tool, sample adaptive offset (SAO), which is to classify reconstructed pixels into different categories and then reduce the distortion by simply adding an offset for each category of pixels.
Proceedings ArticleDOI

Towards jointly optimal spatial prediction and adaptive transform in video/image coding

TL;DR: This paper proposes a new approach to combined spatial (Intra) prediction and adaptive transform coding in block-based video and image compression, which is implemented within the H.264/AVC intra mode, and is shown in experiments to significantly outperform the standard intra modes, and achieve significant reduction of the blocking effect.
Proceedings ArticleDOI

One-pass encoding algorithm for adaptive loop filter in high-efficiency video coding

TL;DR: A method to estimate filtering distortion without performing real filter operation is proposed for adaptive loop filter in high-efficiency video coding (HEVC) and the number of encoding passes can be effectively reduced from 16 to 1.
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