http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Multimedia Interaction and Intelligent User Interfaces
Consumer electronics (CE) devices, providing multimedia entertainment and enabling communication, have become ubiquitous in daily life. An important challenge for the modern CE industry is the design of user interfaces for CE products that enable natural interactions that are convenient, intuitive and fun. As many CE products are supplied with microphones and cameras, the exploitation of both audio and visual information for interactive multimedia is a growing field of research. Collecting together contributions from an international selection of experts, including leading researchers in industry, this unique text presents the latest advances in applications of multimedia interaction and user interfaces for consumer electronics. Covering issues of both multimedia content analysis and human-machine interaction, the book examines a wide range of techniques from computer vision, machine learning, audio and speech processing, communications, artificial intelligence and media technology. Topics and features: Introduces novel computationally efficient algorithms to extract semantically meaningful audio-visual events Investigates modality allocation in intelligent multimodal presentation systems, taking into account the cognitive impacts of modality on human information processing Provides an overview on gesture control technologies for CE Presents systems for natural human-computer interaction, virtual content insertion, and human action retrieval Examines techniques for 3D face pose estimation, physical activity recognition, and video summary quality evaluation Describes features that characterize the new generation of CE and examines how web services can be integrated for improved user experience This book is an essential resource for researchers and practitioners from both academia and industry working in areas of multimedia analysis, human-computer interaction and interactive user interfaces. Graduate students studying computer vision, pattern recognition and multimedia will also find it a beneficial and a useful reference. Dr. Ling Shao is a Senior Lecturer in the Department of Electronic and Electrical Engineering at the University of Sheffield, UK. Dr. Caifeng Shan is a Senior Scientist with Philips Research, Eindhoven, The Netherlands. Dr. Jiebo Luo is a Senior Principal Scientist with Kodak Research Laboratories in Rochester, NY, USA. Dr. Minoru Etoh is Managing Director of the Service & Solution Development Department of NTT DOCOMO, Yokosuka, Japan.
Retrieving Human Actions Using Spatio-Temporal Features and Relevance Feedback -- Computationally Efficient Clustering of Audio-Visual Meeting Data -- Cognitive-Aware Modality Allocation in Intelligent Multimodal Information Presentation -- Natural Human–Computer Interaction -- Gesture Control for Consumer Electronics -- Empirical Study of a Complete System for Real-Time Face Pose Estimation -- Evolution-based Virtual Content Insertion with Visually Virtual Interactions in Videos -- Physical Activity Recognition with Mobile Phones: Challenges, Methods, and Applications -- Gestures in an Intelligent User Interface -- Video Summary Quality Evaluation Based on 4C Assessment and User Interaction -- Multimedia Experience on Web-Connected CE Devices.
edited by Ling Shao, Caifeng Shan, Jiebo Luo, Minoru Etoh.
User Interfaces and Human Computer Interaction
Artificial Intelligence (incl. Robotics)