Multimedia Retrieval
Publication year: 2007
ISBN: 978-3-540-72895-5
Internet Resource: Please Login to download book
The single chapters of this textbook explain the general architecture of multimedia information retrieval systems; various metadata languages like Dublin Core, RDF, or MPEG; pattern recognition through Markov models, unsupervised learning, and pattern clustering; various indexing approaches to audio and video streams; interaction and control; the protection of content and user privacy; and search effectiveness and efficiency.
Subject: Computer Science, Audio Data, Computer Vision, Digital Rights Management, Image Data, Image Processing, MPEG, Markov Model, Multimedia, Multimedia Retrieval, Pattern Recognition, Speech Indexing, Video Indexing, Video Retrieval, cognition, learning
