A Single-Chip 4K 60-fps 4:2:2 HEVC Video Encoder LSI Employing Efficient Motion Estimation and Mode Decision Framework With Scalability to 8K

Onishi, Takayuki; Sano, Takashi; Nishida, Yukikuni; Yokohari, Kazuya; Nakamura, Ken; Nitta, Koyo; Kawashima, Kimiko; Okamoto, Jun; Sagata, Atsushi; Iwasaki, Hiromichi; Ikeda, Mitsuo; Shimizu, Atsushi

doi:10.1109/tvlsi.2018.2842179

Cited by 18 publications

(9 citation statements)

References 15 publications

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“…As we all know, video data is usually transmitted after compression, so this paper extracts and analyzes the parameters of the H.264 code stream to achieve anomaly detection before video decoding, saving processing time. The H.264 standard uses a mixed coding mode of motion estimation/motion compensation [4][5]. Before extracting the code stream parameters, this article conducts an indepth analysis of the H.264 code stream structure.…”

Section: Extraction and Processing Of H264 Stream Parametersmentioning

confidence: 99%

Abnormality detection method for transmission lines based on video code stream analysis

Guanyao¹,

Wang²

2021

E3S Web Conf.

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As the demand for electricity continues to grow, the coverage of transmission lines is getting larger. Despite the continuous improvement of the grid system, transmission lines are still vulnerable to various natural disasters. At the same time, many transmission lines are installed in areas with harsh environments and other places that are difficult for operation and maintenance personnel to reach, which brings huge challenges to the operation and maintenance of transmission lines. Therefore, how to effectively detect the status of the transmission line and ensure the normal operation of the power grid has become an important research topic in the power system. The existing video surveillance-based methods need to decode the video, which has poor real-time performance. Therefore, this paper proposes a transmission line abnormality monitoring method based on video stream analysis. Using the extracted parameters for judgment before decoding the video stream can effectively improve the real-time performance of online monitoring of the transmission line and greatly shorten the time required for abnormal alarms.

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Section: Extraction and Processing Of H264 Stream Parametersmentioning

confidence: 99%

Abnormality detection method for transmission lines based on video code stream analysis

Guanyao¹,

Wang²

2021

E3S Web Conf.

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“…The several research studies faces various computation complexities including power consumption, processing time, compression/decompression challenges, etc. To overcome such major challenges, Onishi et.al [31] designed a single chip video encoder LSI architecture model including multiple features in terms of high prediction rate, high compression ratio for real time multimedia data and centralized encoding operation. Internal 210 megabit image data storage is built and linked with multi-blocks unit with 5120 bit buses with high bandwidth rate.…”

Section: Related Workmentioning

confidence: 99%

“…The era of Image processing has moving into automated world and has become most indispensable technique in diversified system on chips (SoCs) for mobile and multimedia applications. The most common and effective image processing techniques are; image signal processing [1], video coding (HEVC) [2] and many more. However, an image compression (IC) is an advance technique in which a process of eliminating the redundant information from the storage system.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of a Very Large Scale Integrated Circuit Architecture for a Digital Image Compression and Realization on Field Programmable Gate Array

2020

IJITEE

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The domain of image signal processing, image compression is the significant technique, which is mainly invented to reduce the redundancy of image data in order to able to transmit the image pixels with high quality resolution. The standard image compression techniques like losseless and lossy compression technique generates high compression ratio image with efficient storage and transmission requirement respectively. There are many image compression technique are available for example JPEG, DWT and DCT based compression algorithms which provides effective results in terms of high compression ratio with clear quality image transformation. But they have more computational complexities in terms of processing, encoding, energy consumption and hardware design. Thus, bringing out these challenges, the proposed paper considers the most prominent research papers and discuses FPGA architecture design and future scope in the state of art of image compression technique. The primary aim to investigate the research challenges toward VLSI designing and image compression. The core section of the proposed study includes three folds viz standard architecture designs, related work and open research challenges in the domain of image compression.

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“…Fan et al, [10] indicated that there are three main approaches for the reduction of external bandwidth for video encoding, including motion estimation, data reuse, and frame recompression. Motion estimation (ME) is the approximation of the motion of moving objects, which needs to be estimated prior to performing motion compensation predictive coding [23,24,37,38]. It should be emphasized that an essential part of MC predictive coding is the block matching algorithm (BMA).…”

Section: Introductionmentioning

confidence: 99%

Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics

et al. 2020

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The smart city concept has attracted high research attention in recent years within diverse application domains, such as crime suspect identification, border security, transportation, aerospace, and so on. Specific focus has been on increased automation using data driven approaches, while leveraging remote sensing and real-time streaming of heterogenous data from various resources, including unmanned aerial vehicles, surveillance cameras, and low-earth-orbit satellites. One of the core challenges in exploitation of such high temporal data streams, specifically videos, is the trade-off between the quality of video streaming and limited transmission bandwidth. An optimal compromise is needed between video quality and subsequently, recognition and understanding and efficient processing of large amounts of video data. This research proposes a novel unified approach to lossy and lossless video frame compression, which is beneficial for the autonomous processing and enhanced representation of high-resolution video data in various domains. The proposed fast block matching motion estimation technique, namely mean predictive block matching, is based on the principle that general motion in any video frame is usually coherent. This coherent nature of the video frames dictates a high probability of a macroblock having the same direction of motion as the macroblocks surrounding it. The technique employs the partial distortion elimination algorithm to condense the exploration time, where partial summation of the matching distortion between the current macroblock and its contender ones will be used, when the matching distortion surpasses the current lowest error. Experimental results demonstrate the superiority of the proposed approach over state-of-the-art techniques, including the four step search, three step search, diamond search, and new three step search.

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A Single-Chip 4K 60-fps 4:2:2 HEVC Video Encoder LSI Employing Efficient Motion Estimation and Mode Decision Framework With Scalability to 8K

Cited by 18 publications

References 15 publications

Abnormality detection method for transmission lines based on video code stream analysis

Abnormality detection method for transmission lines based on video code stream analysis

Design and Development of a Very Large Scale Integrated Circuit Architecture for a Digital Image Compression and Realization on Field Programmable Gate Array

Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics

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