Special issue on real-time image and video processing in mobile embedded systems

Awais Ahmad, Marco Anisetti, Ernesto Damiani, Gwanggil Jeon
2018 Journal of Real-Time Image Processing  
Recent advancements in the field of mobile devices, such as smartphones, smart wearable gadgets, and smart watches have changed the way we connect with the world around us. Users rely on smart devices wish to maintain an alwayson access to information, personal and social networks, etc. With the rapid advancements in embedded mobile sensors, such as cameras, GPS, digital compass, and proximity sensors, a variety of data is recorded, thus enabling new sensing applications across diverse research
more » ... domains, including mobile information retrieval, mobile media analysis, mobile computer vision, mobile social networks, mobile human-computer interaction, mobile gaming, mobile entertainment, mobile healthcare, and mobile learning. Irrespective of the application fields, the majority of the challenges and issues brought by emerging mobile imaging and video still need to be studied and many research queries remain to be answered. For instance, seamless user experience has been recognized as one of the major factors in designing mobile image and video processing applications for multiple form factors with different device size (small, medium, and large). However, its provision is a challenging task and requires effective integration of mobile sensors and multidisciplinary research such as visual content adaptation, and user behavior analysis. Fetching the information of high-quality video and images through mobile devices increases the battery consumption and processing power. Therefore, most of the intense battery required applications are uploaded to the cloud servers to save energy and enhance battery lifetimes for mobile users. Keeping the fact of the immense popularity of the mobile phones' high resolution data throughput applications such as video streaming and high-quality gadgets, a notable improvement and enhancement in video and image processing in mobile embedded systems has been seen over the last decade. For instance, MPEG has designed as standard for mobile visual search (MPEG Compact Description for Visual Search). Also, a mobile application Instagram has attracted 200 million monthly active users till this date. Some of the other wearable devices, such as Apple Watch or Google Glass, are also a type of personal digital assistants that have shown their potential to be the next-generation mobile media and embedded services. Keeping the face of the mobile embedded devices for high-quality streaming and the technology development, this special issue is designed to examine an open study and investigation of the current development and future trends and directions of the realtime aspects in mobile video and image video processing in mobile embedded systems. This special issue is intended to provide a highly recognized international forum to present recent advances in Real-Time Image and Video Processing in Mobile Embedded Systems. The ultimate objective is to bring together wellfocused, top quality research contributions, providing to the general real time image processing community an opportunity to get an overall view of research results, projects, surveying works and industrial experiences that are dealing with theory and applications within the theme of Real-Time Image and Video Processing in Mobile Embedded Systems. In the last few years, CNN (Convolutional Neural Network), especially Faster Region-Convolutional Neural Networks (Faster R-CNN) has shown great advantages in image classification and object detection. It has superiority to traditional machine learning methods by a large margin.
doi:10.1007/s11554-018-0842-4 fatcat:tefzgwthhjfcvfrfch3xtmfcpm