Guest Editorial of the Special Section on Multimedia Sensing and Computing for Consumer Electronics

Abstract

Consumer electronics are electronic equipment intended for everyday use, and they constitute a part of the wider electronics industry including devices and services used for entertainment, communications and recreation. In practice, consumer electronics use digital technologies to enhance performance and well-being in realworld applications, such as traffic surveillance elements, online retailing, automatic driving systems, fashion and apparel industry, et al., where the information in these applications usually comes through multimedia data. For example, the videos in traffic surveillance contain both acoustic and visual signals; the online product in online retailing app or website include both image, video, text and even acoustic information; the sensory perceptions typically used in automatic driving system may need extensive multi-media data from multichannel inputs in visual, auditory and motor pathways. Thereby, how to characterize the property of multimedia data so that it can be managed to enable different learning tasks of various applications in consumer electronics, is of great importance. This requires researchers to develop robust models to classify, retrieve and understand multi-media information in these real-world applications.