Advances in Multimedia

This book covers different topics related to the recent advances in multimedia, including machine learning and AI methods in multimedia research, multimedia applications in health and medicine, multimedia transmission in wireless networks and multimedia applications in education. Section 1 focuses on machine learning and AI methods in multimedia research, describing context-aware attention network for human emotion recognition in video, large-scale video retrieval via deep local convolutional features, region space guided transfer function design for nonlinear neural network augmented image visualization, data-driven methods for image and video understanding, and pretraining convolutional neural networks for image-based vehicle classification. Section 2 focuses on multimedia applications in health and medicine, describing study of multimedia technology in posture training for the elderly, rapid extraction of target information in messy multimedia medical data, effectiveness of a multimedia messaging service reminder system in the management of knee osteoarthritis, and virtual realities in the treatment of mental disorders: a review of the current state of research. Section 3 focuses on multimedia transmission in wireless networks, describing clustering in wireless multimedia sensor networks, a dynamic link adaptation for multimedia quality-based communications in IEEE_802.11 wireless networks, multimedia and VoIP-oriented cell search technique for the IEEE 802.11 WLANS, and ubiquitous control framework for delivering perceptual satisfaction of multimedia traffic. Section 4 focuses on multimedia applications in education, describing online individualized multimedia instruction instrument for engineering communication skills, design model for educational multimedia software, cognitive constructivist theory of multimedia, design of videogame based on inca abacus, and multimedia approach in teaching mathematics through examples of interactive lessons from mathematical analysis and geometry.