Results 11 to 20 of about 12,900 (204)
IEEE Access, 2020 Video compression is the core technology in mobile (mHealth) and electronic (eHealth) health video streaming applications. With global video traffic projected to reach 82% of all Internet traffic by 2022, there is a strong need to develop efficient ...
Andreas S. Panayides +4 more
doaj +3 more sources
Flow-Process Foreground Region of Interest Detection Method for Video Codecs
IEEE Access, 2017 Detecting the foreground region of interest (ROI) for video sequences is an important issue both for video codecs and monitoring systems. In this paper, we propose a flow-process-based method to detect foreground ROI using four steps: global motion ...
Zhewei Zhang +4 more
doaj +3 more sources
Precision planter monitoring system based on mobile communication network
IET Networks, EarlyView., 2022 Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
wiley +1 more source
Suitability of Transport Techniques for Video Transmission in IP Networks [PDF]
International Journal of Electronics and Telecommunications, 2020 The paper discusses the problem of video transmission in an IP network. The authors consider the ability of using the most popular video codecs that use both the MPEG2 Transport Stream and Dynamic Adaptive Streaming over Hypertext Transfer Protocol (DASH)
Tadeusz Uhl +2 more
doaj +1 more source
A Comprehensive Video Codec Comparison [PDF]
APSIPA Transactions on Signal and Information Processing, 2019 In this paper, we compare the video codecs AV1 (version 1.0.0-2242 from August 2019), HEVC (HM and x265), AVC (x264), the exploration software JEM which is based on HEVC, and the VVC (successor of HEVC) test model VTM (version 4.0 from February 2019) under two fair and balanced configurations: All Intra for the assessment of intra coding and Maximum ...
Laude, Thorsten +4 more
openaire +1 more source
Performance Evaluation of the Codec Agnostic Approach in MPEG-I Video-Based Point Cloud Compression
IEEE Access, 2021 In this study, we evaluated the codec agnostic approach of video-based point cloud compression (V-PCC) by applying several video codecs to V-PCC. The main concept of V-PCC is to use a video codec to compress the 2D patch images generated from a 3D point ...
Tianyu Dong, Kyutae Kim, Euee S. Jang
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3D Motion Estimation and Compensation Method for Video-Based Point Cloud Compression
IEEE Access, 2020 A point cloud visualizes information by placing a voxel with a color value and a position value in a three-dimensional space. Since a point cloud uses hundreds of thousands or millions of points to visualize information, a large number of bits is needed ...
Junsik Kim +3 more
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AIVC: Artificial Intelligence Based Video Codec
2022 IEEE International Conference on Image Processing (ICIP), 2022 This paper introduces AIVC, an end-to-end neural video codec. It is based on two conditional autoencoders MNet and CNet, for motion compensation and coding. AIVC learns to compress videos using any coding configurations through a single end-to-end rate-distortion optimization.
Ladune, Théo, Philippe, Pierrick
openaire +3 more sources
A Model-Based Approach of Foreground Region of Interest Detection for Video Codecs
Applied Sciences, 2019 Detecting the Region of Interest (ROI) for video clips is a significant and useful technique both in video codecs and surveillance/monitor systems. In this paper, a new model-based detection method is designed which suits video compression codecs by ...
Zhewei Zhang +4 more
doaj +1 more source
A classification‐prediction joint framework to accelerate QTMT‐based CU partition of inter‐mode VVC
Electronics Letters, 2023 Aiming at accelerating the inter coding of versatile video coding (VVC), the existing deep‐learning‐based methods utilize a single convolutional neural network (CNN) to directly predict the quadtree plus multi‐type tree (QTMT)‐based partition of the ...
Zixiao Peng, Liquan Shen
doaj +1 more source