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Multimedia Database Retrieval: A Human-Centered Approach presents the latest development in user-centered methods and the state-of-the-art in visual media retrieval. It includes discussion on perceptually inspired non-linear paradigm in user-controlled interactive retrieval (UCIR) systems. It also features a coherent approach which focuses on specific topics within content/concept-based retrievals via audio-visual information modeling of multimedia. Highlights include: * Exploring an adaptive machine that can learn from its environment * Optimizing the learning system by incorporating self-organizing adaptation into the retrieval process * Demonstrating state-of-the-art applications within small, medium, and large databases The authors also include applications related to Digital Asset Management (DAM), Computer Aided Referral (CAR) System, Geographical Database Retrieval, retrieval of Art Documents, and Films and Video Retrieval. Multimedia Database Retrieval: A Human-Centered Approach presents the fundamental and advanced aspects of these topics, as well as the philosophical directions in the field. The methods detailed in this book possess broad applications which will advance the technology in this fast developing topical area.

Multimedia systems --- Database searching. --- Research. --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching --- Multimedia systems. --- Computer vision. --- Information storage and retrieva. --- Computer engineering. --- Multimedia Information Systems. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision. --- Information Storage and Retrieval. --- Electrical Engineering. --- Computers --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Design and construction --- Information storage and retrieval. --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Multimedia information systems. --- Signal processing. --- Image processing. --- Speech processing systems. --- Optical data processing. --- Electrical engineering. --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Electric engineering --- Engineering --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Optical equipment

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This book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, multimodal fusion, annotation, and database re-ranking. The application-oriented approach maximizes reader understanding of this complex field. Established researchers explain the latest developments in multimedia database technology and offer a glimpse of future technologies. The authors emphasize the crucial role of innovation, inspiring users to develop new applications in multimedia technologies such as mobile media, large scale image and video databases, news video and film, forensic image databases and gesture databases. With a strong focus on industrial applications along with an overview of research topics, Multimedia Database Retrieval: Technology and Applications is an indispensable guide for computer scientists, engineers and practitioners involved in the development and use of multimedia systems. It also serves as a secondary text or reference for advanced-level students interested in multimedia technologies.

Databases. --- Information storage and retrieval systems. --- Information technology. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Data banks --- Data bases --- Databanks --- Database systems --- Computer files --- Electronic information resources --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Multimedia systems. --- Information storage and retrieva. --- Database management. --- Multimedia Information Systems. --- Information Storage and Retrieval. --- Database Management. --- Information Systems Applications (incl. Internet). --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Information storage and retrieval. --- Multimedia information systems. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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This book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, multimodal fusion, annotation, and database re-ranking. The application-oriented approach maximizes reader understanding of this complex field. Established researchers explain the latest developments in multimedia database technology and offer a glimpse of future technologies. The authors emphasize the crucial role of innovation, inspiring users to develop new applications in multimedia technologies such as mobile media, large scale image and video databases, news video and film, forensic image databases and gesture databases. With a strong focus on industrial applications along with an overview of research topics, Multimedia Database Retrieval: Technology and Applications is an indispensable guide for computer scientists, engineers and practitioners involved in the development and use of multimedia systems. It also serves as a secondary text or reference for advanced-level students interested in multimedia technologies.

Information retrieval --- Computer science --- Information systems --- Computer. Automation --- IR (information retrieval) --- machine learning --- computers --- landbouw --- multimedia --- informatiesystemen --- database management --- computerkunde

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To aid in intelligent data mining, this book introduces a new family of unsupervised algorithms that have a basis in self-organization, yet are free from many of the constraints typical of other well known self-organizing architectures. It then moves through a series of pertinent real world applications with regards to the processing of multimedia data?from its role in generic image processing techniques such as the automated modeling and removal of impulse noise in digital images, to problems in digital asset management, and its various roles in feature extraction, visual enhancement, segment

Database management. --- Self-organizing systems. --- Machine learning. --- Big data.