Hardware implementation-oriented fast intra-coding based on downsampling information for HEVC

Shi, Wen Zhong; Song, Tian; Katayama, Takafumi; Jiang, Xiantao; Satō, Takashi

doi:10.1007/s11554-017-0677-4

J Real-Time Image Proc

2017

DOI: 10.1007/s11554-017-0677-4

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Hardware implementation-oriented fast intra-coding based on downsampling information for HEVC

Wen Zhong Shi

Tian Song

Takafumi Katayama

et al.

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Cited by 4 publications

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“…The hardware architecture-oriented contributions show specialized hardware blocks for an improved data throughput. The paper "Hardware implementation-oriented fast intracoding based on down sampling information for HEVC" [5] and also "Optimizing memory bandwidth exploitation for OpenVX applications on embedded many-core accelerators" [6] show such approaches. This is underlined with the paper [7], "Accelerated Image Factorization Based on Improved NMF Algorithm" where specific algorithms are in the focus of the manuscript.…”

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confidence: 99%

Special issue: Design and architectures for real-time signal and image processing

Huebner

2018

J Real-Time Image Proc

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, image and control processing based on a new approach called Algorithm-Architecture-Matching, which aims to leverage the design flow by a simultaneous study of both algorithmic and architectural issues, taking into account multiple design constraints, as well as algorithm and architecture optimizations.The goal of DASIP is to present the latest results in the domain of design and architecture for signal and image processing along several axes: methods and tools; development platforms, architectures and technologies; use-cases and applications as well as smart-sensing systems.The best papers from the conference were invited to submit considerable extended manuscripts to this special issue with a topic in relation to the paper they presented during the conference. All the papers which appear in this special issue went through a peer review process.Embedded Systems and Cyber-physical Systems (CPS), especially in relation to image and signal processing, are a big step forward from the basic data-gathering networks, and they have been called to be the fourth industrial revolution. Therefore, the important contribution of CPS is its integration and connection of the hardware elements, e.g., sensors, actuators and computing units, with the software functionalities, e.g., automated routines and supervisor software, to perform energy efficiency and simultaneously keeping safety requirements. Many fields employ CPS into their operations, e.g., transportation, defense, energy and industrial automation, health and biomedical, agriculture and critical infrastructure. To automate the processes, the data gathering and the actions they can perform, while also lowering the quantity of human-made errors during run time. Furthermore, critical applications that must deal with several challenges find in CPS a powerful ally, since the system's level of automation and independence is higher than those of basic manually supervised networks.CPS supports directly the agenda of Industry 4.0, which is a key driver of Europe's economy and growth in industrial production, industrial automation and the related logistics. Only with novel concepts for sensors in a network, which goes far beyond what the current state of the art can deliver, the current and future requirements in terms of flexibility, safety and security can be provided. The leading industries in this area need novel solutions to develop energy efficient, highly flexible, robust, safe and secure sensor nodes for the next generation of factories in the age of Industry 4.0 with a holistic toolset. The key elements here are to increase efficiency, decrease time to market and to enhance flexibility. The Industrial Internet offers industry players the potential for high growth and improved efficiency.Real-time image processing plays a major role in several applications in the academic and industrial field. As an example, the application in a modern industrial environment includes camera data to handle the production of complex components. In robotic applications, real-time image pro...

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confidence: 99%

Special issue: Design and architectures for real-time signal and image processing

Huebner

2018

J Real-Time Image Proc

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Intra mode selection using classical secretary problem (CSP) in high efficiency video coding (HEVC)

Tariq

2019

Multimed Tools Appl

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Hardware-friendly fast rate-distortion optimization algorithm for AV1 encoder

Tang,

Huang,

Cui

et al. 2024

J Real-Time Image Proc

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Hardware implementation-oriented fast intra-coding based on downsampling information for HEVC

Cited by 4 publications

References 23 publications

Special issue: Design and architectures for real-time signal and image processing

Special issue: Design and architectures for real-time signal and image processing

Intra mode selection using classical secretary problem (CSP) in high efficiency video coding (HEVC)

Hardware-friendly fast rate-distortion optimization algorithm for AV1 encoder

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