Kategoria BISAC: Computers >> Interactive & Multimedia

This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia...

This is the third edition of the first ever book to explore the exciting field of augmented reality art and its enabling technologies. The new edition has been thoroughly revised and updated, with 9 new chapters included. As well as investigating augmented reality as a novel artistic medium, the book covers cultural, social, spatial and cognitive facets of augmented reality art.  It has been written by a virtual team of 33 researchers and artists from 11 countries who are pioneering in the new form of art, and contains numerous colour illustrations showing both classic and recent...

This book gathers new empirical findings fostering advances in the areas of digital and communication design, web, multimedia and motion design, graphic design, branding, and related ones. It includes original contributions by authoritative authors based on the best papers presented at the 4^th International Conference on Digital Design and Communication, Digicom 2020, together with some invited chapters written by leading international researchers. They report on innovative design strategies supporting communication in a global, digital world, and addressing, at the same time,...

Sensor networks are an essential component of the Internet of Things (IoT), and Multimedia Sensor Networks (MSNs) are the most important emerging area in sensor networks. However, multimedia sensing is characterized by diversified modes, large volumes of data, considerable heterogeneity, and complex computing, as a result of which the theory and methods for traditional sensor networks can’t be applied to MSNs. 

Based on the authors’ years of systematic research on related theory and methods, this book provides a comprehensive review of MSNs. The coverage ranges from...