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Multimedia Database Retrieval:: A Human-Centered Approach
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Multimedia Database Retrieval: A Human-Centered Approach presents thelatest development in user-centered methods and the state-of-the-art invisual media retrieval. It includes discussion on perceptually inspirednon-linear paradigm in user-controlled interactive retrieval (UCIR)systems. It also features a coherent approach which focuses on specific topicswithin content/concept-based retrievals via audio-visual information modelingof multimedia. Highlights include: * Exploring an adaptive machine that can learn from itsenvironment * Optimizing the learning system by incorporating self-organizingadaptation into the retrieval process * Demonstrating state-of-the-art applications within small,medium, and large databases The authors also include applications related to Digital AssetManagement (DAM), Computer Aided Referral (CAR) System, GeographicalDatabase Retrieval, retrieval of Art Documents, and Films and VideoRetrieval. Multimedia Database Retrieval: A Human-Centered Approach presents thefundamental and advanced aspects of these topics, as well as thephilosophical directions in the field. The methods detailed in thisbook possess broad applications which will advance the technology inthis fast developing topical area.
Multimedia Database Retrieval: A Human-Centered Approach presents thelatest development in user-centered methods and the state-of-the-art invisual media retrieval. It includes discussion on perceptually inspirednon-linear paradigm in user-controlled interactive retrieval (UCIR)systems. It also features a coherent approach which focuses on specific topicswithin content/concept-based retrievals via audio-visual information modelingof multimedia. Highlights include: * Exploring an adaptive machine that can learn from itsenvironment * Optimizing the learning system by incorporating self-organizingadaptation into the retrieval process * Demonstrating state-of-the-art applications within small,medium, and large databases The authors also include applications related to Digital AssetManagement (DAM), Computer Aided Referral (CAR) System, GeographicalDatabase Retrieval, retrieval of Art Documents, and Films and VideoRetrieval. Multimedia Database Retrieval: A Human-Centered Approach presents thefundamental and advanced aspects of these topics, as well as thephilosophical directions in the field. The methods detailed in thisbook possess broad applications which will advance the technology inthis fast developing topical area.
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Key Phrases - Statistically Improbable Phrases (SIPs):
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edge flow, movie retrieval, adaptive video indexing, image relevancy, feature descriptor database, automatic relevance feedback, average retrieval rate, local model network, video nodes, average precision rate, video intervals, nonrelevant images, ground truth classes, retrieved images, relevance identification, relevance classification, retrieval accuracy, template nodes, interactive retrieval, visual templates, retrieval precision, visual descriptor, image similarity, feedback samples, retrieval session Key Phrases - Capitalized Phrases (CAPs): (learn more)
New Machine Learning Approach, Automatic Retrieval, Interactive Content-Basedlmage Retrieval, Networkand Knowledge-based Databases, Voronoi Space, Network-and Knowledge-based Databases, High Performance Retrieval Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
edge flow, movie retrieval, adaptive video indexing, image relevancy, feature descriptor database, automatic relevance feedback, average retrieval rate, local model network, video nodes, average precision rate, video intervals, nonrelevant images, ground truth classes, retrieved images, relevance identification, relevance classification, retrieval accuracy, template nodes, interactive retrieval, visual templates, retrieval precision, visual descriptor, image similarity, feedback samples, retrieval session Key Phrases - Capitalized Phrases (CAPs): (learn more)
New Machine Learning Approach, Automatic Retrieval, Interactive Content-Basedlmage Retrieval, Networkand Knowledge-based Databases, Voronoi Space, Network-and Knowledge-based Databases, High Performance Retrieval Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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