Advance in Digital Signal, Image and Video Processing
This reprint discussed Coding and compression; Content storing and management; Electronic media; Internet technology; Image and video signals; Multimedia processing; Quality of experience (QoE); Quality of service (QoS); Signal processing; Streaming services; Subjective and objective metrics; User e...
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Format: | Electronic Book Chapter |
Language: | English |
Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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700 | 1 | |a Łubniewski, Zbigniew |4 edt | |
700 | 1 | |a Falkowski-Gilski, Przemysław |4 oth | |
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700 | 1 | |a Łubniewski, Zbigniew |4 oth | |
245 | 1 | 0 | |a Advance in Digital Signal, Image and Video Processing |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
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506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a This reprint discussed Coding and compression; Content storing and management; Electronic media; Internet technology; Image and video signals; Multimedia processing; Quality of experience (QoE); Quality of service (QoS); Signal processing; Streaming services; Subjective and objective metrics; User experience (UX). | ||
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546 | |a English | ||
650 | 7 | |a Information technology industries |2 bicssc | |
650 | 7 | |a Computer science |2 bicssc | |
653 | |a canny edge detector | ||
653 | |a deep belief network | ||
653 | |a dragonfly optimization algorithm | ||
653 | |a image processing | ||
653 | |a local binary pattern | ||
653 | |a tool wear monitoring | ||
653 | |a agile | ||
653 | |a implementation | ||
653 | |a hardware development | ||
653 | |a case study | ||
653 | |a user experience | ||
653 | |a oil sheen | ||
653 | |a oil pollution monitoring | ||
653 | |a convolutional neural network | ||
653 | |a transfer learning | ||
653 | |a traffic prediction | ||
653 | |a artificial neural networks | ||
653 | |a adaptive video | ||
653 | |a integrity analysis | ||
653 | |a integrity preservation trace | ||
653 | |a video contents | ||
653 | |a blockchain | ||
653 | |a digital video forensic | ||
653 | |a scrambled linear block codes | ||
653 | |a cross-correlation of symbols | ||
653 | |a partial autocorrelation function | ||
653 | |a convolutional long short-term memory neural networks | ||
653 | |a IMS | ||
653 | |a NGN | ||
653 | |a MPLS | ||
653 | |a call processing performance | ||
653 | |a quality of service | ||
653 | |a performance evaluation | ||
653 | |a traffic model | ||
653 | |a polar code | ||
653 | |a neural network | ||
653 | |a decoder | ||
653 | |a deblocking filter | ||
653 | |a quality assessment | ||
653 | |a parallel edge filter | ||
653 | |a HEVC/H.265 | ||
653 | |a sample adaptive offset filter | ||
653 | |a nighttime dehazing | ||
653 | |a daytime dehazing | ||
653 | |a mixed-filter | ||
653 | |a high-light area transmission compensation | ||
653 | |a regularization | ||
653 | |a guided filtering | ||
653 | |a nonuniformity correction | ||
653 | |a infrared focal plan linear array detector | ||
653 | |a linear regression fitting | ||
653 | |a video quality | ||
653 | |a objective quality assessment methods | ||
653 | |a subjective quality assessment methods | ||
653 | |a user perception | ||
653 | |a QoE | ||
653 | |a video codecs | ||
653 | |a H.264 (AVC) | ||
653 | |a H.265 (HEVC) | ||
653 | |a VP9 | ||
653 | |a network security | ||
653 | |a antivirus evasion | ||
653 | |a cybersecurity | ||
653 | |a EEG (electroencephalography) | ||
653 | |a HCI (human-computer interaction) | ||
653 | |a mining | ||
653 | |a occupational safety | ||
653 | |a swarm intelligence | ||
653 | |a UX (user experience) | ||
653 | |a wireless networks | ||
653 | |a n/a | ||
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856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/128608 |7 0 |z DOAB: description of the publication |