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Adaptive Multimedia Retrieval: User, Context, and Feedback

three invited papers by leading researchers in the area to illustrate the core topics of the workshop: User, Context and Feedback. The papers;

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Adaptive Multimedia Retrieval: Retrieval, User, and Semantics

during two rounds of reviewing and improvement. The papers are organized in topical sections on image annotation, feedback and user modelling;

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Adaptive Multimedia Retrieval Context Exploration and Fusion

submissions. The papers are organized in topical sections on Context-based personalization; media information fusion; video retrieval; audio and music;

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Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and Evaluation

music media. They are organized in topical sections on evaluation and user studies, audio and music, image retrieval, and similarity and music.;

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Health Monitoring and Personalized Feedback using Multimedia Data

This book presents how multimedia data analysis, information retrieval and indexing are central for comprehensive, personalized, adaptive;

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Multimedia Information Retrieval

At its very core multimedia information retrieval means the process of searching for and finding multimedia documents; the corresponding;

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Multimedia Information Retrieval

At its very core multimedia information retrieval means the process of searching for and finding multimedia documents; the corresponding;

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Indexing Multimedia and Creative Works

Indexing and information retrieval work properly only if language and interpretation are shared by creator and user. This is more complex;

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Indexing Multimedia and Creative Works

Indexing and information retrieval work properly only if language and interpretation are shared by creator and user. This is more complex;

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Adaptive Hypermedia and Adaptive Web-Based Systems

use of many person- ized systems, such as recommenders, personalized ?lters and retrieval systems, e-learning systems and various forms;

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Big Data Analytics for Large-Scale Multimedia Search

large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on;

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Handbook of Multimedia Computing

and Standards introduces basic multimedia terminology, taxonomy, and concepts, including multimedia objects, user interfaces, and standards;

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Multimedia Information Retrieval

Novel processing and searching tools for the management of new multimedia documents have developed. Multimedia Information Retrieval (MIR;

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Data Management for Multimedia Retrieval

Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other;

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Multimedia Retrieval

in advanced undergraduate or graduate courses on multimedia retrieval and multimedia databases. The single chapters of this textbook explain the;

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Multimedia Storage and Retrieval

multimedia server depends heavily on the proper use of storage and retrieval algorithms suitable for this task. Multimedia Storage and Retrieval;

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Image Retrieval and Analysis Using Text and Fuzzy Shape Features

Multimedia information retrieval focuses on the tools of processing and searching that are applicable to the content-based management;

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Modern Information Retrieval

, open source search engines and user interfaces. From parsing to indexing, clustering to classification, retrieval to ranking, and user;

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Semantic Multimedia

generated multimedia content. Also addressed are issues relating to semantic metadata management, semantic user interfaces, and semantics;

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Automated Metadata in Multimedia Information Systems

users ensue, however, with the tremendous volume and varying quality of automated metadata for multimedia information systems. This lecture;

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MultiMedia Modeling

modelling, interactive retrieval, image and video collections, 3D and augmented reality, temporal analysis of multimedia content, compression and;

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Information Retrieval

Multimedia Resource Discovery Image Users' Needs and Searching Behaviour Web Information Retrieval Mobile Search Context and Information Retrieval;

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Information Retrieval for Music and Motion

Content-based multimedia retrieval is a challenging research field with many unsolved problems. This monograph details concepts and;

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Visual Information and Information Systems

aggregation at semantic level and content-based retrieval, as well as the study of user intention in query processing, and issues of delivery and;

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Advances in Information Retrieval

of topics such as: IR Theory and Practice; Deep Learning and IR; Web and Social Media IR; User Aspects; IR System Architectures; Content;

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User Modeling Adaptation and Personalization

This book constitutes the refereed proceedings of the 23rd International Conference on User Modeling, Adaptation and Personalization, UMAP;

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Nonlinear Model-Based Image/Video Processing And Analysis

techniques in still image and digital video but also discusses applications in computer vision, multimedia, and visual information retrieval systems;

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