Artificial Intelligence for Multimedia Signal Processing

doi:10.3390/books978-3-0365-4966-8

dc.contributor.editor	Kim, Byung-Gyu
dc.contributor.editor	Jun, Dongsan
dc.date.accessioned	2023-02-20T16:45:13Z
dc.date.available	2023-02-20T16:45:13Z
dc.date.issued	2022
dc.identifier	ONIX_20230220_9783036549651_55
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/97452
dc.description.abstract	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 years to improve image, video, speech, and other data compression efficiency in areas related to MPEG media processing technology. Additionally, technologies such as media creation, processing, editing, and creating scenarios are very important areas of research in multimedia processing and engineering. This book contains a collection of some topics broadly across advanced computational intelligence algorithms and technologies for emerging multimedia signal processing as: Computer vision field, speech/sound/text processing, and content analysis/information mining.
dc.language	English
dc.subject.classification	thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology	en_US
dc.subject.other	human-height estimation
dc.subject.other	depth video
dc.subject.other	depth 3D conversion
dc.subject.other	artificial intelligence
dc.subject.other	convolutional neural networks
dc.subject.other	deep neural network
dc.subject.other	convolutional neural network
dc.subject.other	environmental sound recognition
dc.subject.other	feature combination
dc.subject.other	multimodal joint representation
dc.subject.other	content curation social networks
dc.subject.other	different recommend tasks
dc.subject.other	content based recommend systems
dc.subject.other	scene/place classification
dc.subject.other	semantic segmentation
dc.subject.other	deep learning
dc.subject.other	weighting matrix
dc.subject.other	speech enhancement
dc.subject.other	generative adversarial network
dc.subject.other	relativistic GAN
dc.subject.other	lightweight neural network
dc.subject.other	single image super-resolution
dc.subject.other	image enhancement
dc.subject.other	image restoration
dc.subject.other	residual dense networks
dc.subject.other	visual sentiment analysis
dc.subject.other	sentiment classification
dc.subject.other	graph convolutional networks
dc.subject.other	generative adversarial networks
dc.subject.other	traffic surveillance image processing
dc.subject.other	image de-raining
dc.subject.other	fluency evaluation
dc.subject.other	speech recognition
dc.subject.other	data augmentation
dc.subject.other	variational autoencoder
dc.subject.other	speech conversion
dc.subject.other	heartbeat classification
dc.subject.other	convolutional neural network (CNN)
dc.subject.other	canonical correlation analysis (CCA)
dc.subject.other	Indian Sign Language (ISL)
dc.subject.other	natural language processing
dc.subject.other	avatar
dc.subject.other	sign movement
dc.subject.other	context-free grammar
dc.subject.other	object detection
dc.subject.other	logical story unit detection (LSU)
dc.subject.other	object re-ID
dc.subject.other	computer vision
dc.subject.other	image processing
dc.subject.other	single image artifacts reduction
dc.subject.other	dense networks
dc.subject.other	residual networks
dc.subject.other	channel attention networks
dc.subject.other	n/a
dc.title	Artificial Intelligence for Multimedia Signal Processing
dc.type	book
oapen.identifier.doi	10.3390/books978-3-0365-4966-8
oapen.relation.isPublishedBy	46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn	9783036549651
oapen.relation.isbn	9783036549668
oapen.pages	212
oapen.place.publication	Basel

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