Artificial Intelligence for Multimedia Signal Processing

• Beste egile batzuk: Kim, Byung-Gyu (Argitaratzailea), Jun, Dongsan (Argitaratzailea)
• Formatua: Baliabide elektronikoa Liburu kapitulua
• Hizkuntza: ingelesa
• Argitaratua: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Gaiak: History of engineering & technology; human-height estimation; depth video; depth 3D conversion; artificial intelligence; convolutional neural networks; deep neural network; convolutional neural network; environmental sound recognition; feature combination; multimodal joint representation; content curation social networks; different recommend tasks; content based recommend systems; scene/place classification; semantic segmentation; deep learning; weighting matrix; speech enhancement; generative adversarial network; relativistic GAN; lightweight neural network; single image super-resolution; image enhancement; image restoration; residual dense networks; visual sentiment analysis; sentiment classification; graph convolutional networks; generative adversarial networks; traffic surveillance image processing; image de-raining; fluency evaluation; speech recognition; data augmentation; variational autoencoder; speech conversion; heartbeat classification; convolutional neural network (CNN); canonical correlation analysis (CCA); Indian Sign Language (ISL); natural language processing; avatar; sign movement; context-free grammar; object detection; logical story unit detection (LSU); object re-ID; computer vision; image processing; single image artifacts reduction; dense networks; residual networks; channel attention networks; n/a
• Sarrera elektronikoa: DOAB: download the publication; DOAB: description of the publication

Artificial intelligence technologies are also actively applied to broadcasting and multimedia processing technologies. A lot of research has been conducted in a wide variety of fields, such as content creation, transmission, and security, and these attempts have been made in the past two to three ye...