Special Issue "New Techniques for Image and Video Coding"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 30 June 2021.

Special Issue Editor

Prof. Dr. Otoniel Mario López Granado
E-Mail Website
Guest Editor
Miguel Hernández University, 03205 Elche, Spain
Interests: image compression; video coding; parallel computing; multimedia transmission

Special Issue Information

Dear Colleagues,

As reported by the Cisco Visual Networking Index (2017–22), IP video traffic represented 73% of the total IP traffic in 2016 and is expected to reach 82% by 2022. This means that a million minutes of video content travels through the network every second. The report also predicts a great increase in services such as Video on Demand (VoD), Live Internet video, as well as Virtual Reality (VR) and Augmented Reality (AR). Due to the increasing number of consumers (4.8 billion internet users by 2022) and greater video resolution (4K and 8K), VoD traffic will double by 2022. There is also intense interest in the live video streaming of sports events, where 4K- and 5K-resolution cameras (more than 20) are installed around a stadium to transmit a 360° view of these events.

To address this increase in video IP traffic, a new generation of image compression and video coding techniques are required to achieve higher compression rates than the ones obtained by the previous image and video coding standards.

This Special Issue is intended to provide a forum for recent research in both image compression and video coding techniques that would have potential to further improve the performance of current image/video coding standards.

Prof. Dr. Otoniel Mario López Granado
Guest Editor

Manuscript Submission Information

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Keywords

  • High efficiency coding techniques
  • Perceptual coding
  • Parallel video coding techniques (multicore, GPU)
  • Hardware video coding accelerators (FPGA, DSP)

Published Papers (3 papers)

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Research

Article
A Trellis Based Temporal Rate Allocation and Virtual Reference Frames for High Efficiency Video Coding
Electronics 2021, 10(12), 1384; https://doi.org/10.3390/electronics10121384 - 09 Jun 2021
Viewed by 302
Abstract
The High Efficiency Video Coding (HEVC) standard has now become the most popular video coding solution for video conferencing, broadcasting, and streaming. However, its compression performance is still a critical issue for adopting a large number of emerging video applications with higher spatial [...] Read more.
The High Efficiency Video Coding (HEVC) standard has now become the most popular video coding solution for video conferencing, broadcasting, and streaming. However, its compression performance is still a critical issue for adopting a large number of emerging video applications with higher spatial and temporal resolutions. To advance the current HEVC performance, we propose an efficient temporal rate allocation solution. The proposed method adaptively allocates the compression bitrate for each coded picture in a group of pictures by using a trellis-based dynamic programming approach. To achieve this task, we trained the trellis-based quantization parameter for each frame in a group of pictures considering the temporal layer position. We further improved coding efficiency by incorporating our proposed framework with other inter prediction methods such as a virtual reference frame. Experiments showed around 2% and 5% bitrate savings with our trellis-based rate allocation method with and without a virtual reference frame compared to the conventional HEVC standard, respectively. Full article
(This article belongs to the Special Issue New Techniques for Image and Video Coding)
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Article
VLSI Implementation of a Cost-Efficient Loeffler DCT Algorithm with Recursive CORDIC for DCT-Based Encoder
Electronics 2021, 10(7), 862; https://doi.org/10.3390/electronics10070862 - 05 Apr 2021
Viewed by 350
Abstract
This paper presents a low-cost and high-quality, hardware-oriented, two-dimensional discrete cosine transform (2-D DCT) signal analyzer for image and video encoders. In order to reduce memory requirement and improve image quality, a novel Loeffler DCT based on a coordinate rotation digital computer (CORDIC) [...] Read more.
This paper presents a low-cost and high-quality, hardware-oriented, two-dimensional discrete cosine transform (2-D DCT) signal analyzer for image and video encoders. In order to reduce memory requirement and improve image quality, a novel Loeffler DCT based on a coordinate rotation digital computer (CORDIC) technique is proposed. In addition, the proposed algorithm is realized by a recursive CORDIC architecture instead of an unfolded CORDIC architecture with approximated scale factors. In the proposed design, a fully pipelined architecture is developed to efficiently increase operating frequency and throughput, and scale factors are implemented by using four hardware-sharing machines for complexity reduction. Thus, the computational complexity can be decreased significantly with only 0.01 dB loss deviated from the optimal image quality of the Loeffler DCT. Experimental results show that the proposed 2-D DCT spectral analyzer not only achieved a superior average peak signal–noise ratio (PSNR) compared to the previous CORDIC-DCT algorithms but also designed cost-efficient architecture for very large scale integration (VLSI) implementation. The proposed design was realized using a UMC 0.18-μm CMOS process with a synthesized gate count of 8.04 k and core area of 75,100 μm2. Its operating frequency was 100 MHz and power consumption was 4.17 mW. Moreover, this work had at least a 64.1% gate count reduction and saved at least 22.5% in power consumption compared to previous designs. Full article
(This article belongs to the Special Issue New Techniques for Image and Video Coding)
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Article
A General Model for the Design of Efficient Sign-Coding Tools for Wavelet-Based Encoders
Electronics 2020, 9(11), 1899; https://doi.org/10.3390/electronics9111899 - 12 Nov 2020
Viewed by 460
Abstract
Traditionally, it has been assumed that the compression of the sign of wavelet coefficients is not worth the effort because they form a zero-mean process. However, several image encoders such as JPEG 2000 include sign-coding capabilities. In this paper, we analyze the convenience [...] Read more.
Traditionally, it has been assumed that the compression of the sign of wavelet coefficients is not worth the effort because they form a zero-mean process. However, several image encoders such as JPEG 2000 include sign-coding capabilities. In this paper, we analyze the convenience of including sign-coding techniques into wavelet-based image encoders and propose a methodology that allows the design of sign-prediction tools for whatever kind of wavelet-based encoder. The proposed methodology is based on the use of metaheuristic algorithms to find the best sign prediction with the most appropriate context distribution that maximizes the resulting sign-compression rate of a particular wavelet encoder. Following our proposal, we have designed and implemented a sign-coding module for the LTW wavelet encoder, to evaluate the benefits of the sign-coding tool provided by our proposed methodology. The experimental results show that sign compression can save up to 18.91% of bit-rate when enabling sign-coding capabilities. Also, we have observed two general behaviors when coding the sign of wavelet coefficients: (a) the best results are provided from moderate to high compression rates; and (b) the sign redundancy may be better exploited when working with high-textured images. Full article
(This article belongs to the Special Issue New Techniques for Image and Video Coding)
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