Advance in Digital Signal, Image and Video Processing

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https://mdpi.com/books/pdfview/book/8060Contributor(s)
Falkowski-Gilski, Przemysław (editor)
Uhl, Tadeus (editor)
Łubniewski, Zbigniew (editor)
Language
EnglishAbstract
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).
Keywords
canny edge detector; deep belief network; dragonfly optimization algorithm; image processing; local binary pattern; tool wear monitoring; agile; implementation; hardware development; case study; user experience; oil sheen; oil pollution monitoring; convolutional neural network; transfer learning; traffic prediction; artificial neural networks; adaptive video; integrity analysis; integrity preservation trace; video contents; blockchain; digital video forensic; scrambled linear block codes; cross-correlation of symbols; partial autocorrelation function; convolutional long short-term memory neural networks; IMS; NGN; MPLS; call processing performance; quality of service; performance evaluation; traffic model; polar code; neural network; decoder; deblocking filter; quality assessment; parallel edge filter; HEVC/H.265; sample adaptive offset filter; nighttime dehazing; daytime dehazing; mixed-filter; high-light area transmission compensation; regularization; guided filtering; nonuniformity correction; infrared focal plan linear array detector; linear regression fitting; video quality; objective quality assessment methods; subjective quality assessment methods; user perception; QoE; video codecs; H.264 (AVC); H.265 (HEVC); VP9; network security; antivirus evasion; cybersecurity; EEG (electroencephalography); HCI (human–computer interaction); mining; occupational safety; swarm intelligence; UX (user experience); wireless networks; n/aWebshop link
https://mdpi.com/books/pdfview ...ISBN
9783036584546, 9783036584553Publisher website
www.mdpi.com/booksPublication date and place
Basel, 2023Classification
Information technology industries
Computer science