Special Issue on Advanced Artificial Intelligence Technologies for Multimedia Communications and Processing in Internet of Vehicles
• 大类 : 工程技术 - 2区
• 小类 : 计算机：理论方法 - 2区
Internet of Vehicles (IoVs) is expected to analyze and utilize the various information, especially multimedia inside and outside vehicles itself through wireless communication techniques. Specifically, through the vehicle-to-vehicle (V2V), infrastructure-to-vehicle (I2V) and vehicular-to-infrastructure (V2I) communications, which are the foundation and key support technologies determining the overall performance of vehicular networks, road safety and traffic efficiency are significantly improved assisted advanced artificial intelligence (AI).
To address the advanced demands which cannot be met by the traditional multimedia processing and communication technologies, such as high throughput, high mobility, low latency, heterogeneity and scalability, etc., innovative AI-based multimedia technologies have been applied to IoVs for raising the user experience through developing high-performance multimedia communications system and providing intelligent services based on multimedia processing and analytics. Especially, novel vehicular networks assisted by cognitive computing, data mining, machine learning and other advanced techniques are available to provide entertainment, navigation, location-based services, etc., and even significantly improve the driving experience and effectively guarantee traffic safety. For example, through advanced multimedia technologies, it is available to monitor the driver’s physiological and psychological state for avoiding traffic accidents caused by fatigued driving and mood swings.
This special issue focuses on the crossroads among scientists, industry practitioners, and researchers from the domains in the multimedia communications, mobile computing, artificial intelligence, multimedia processing, decision making, etc. We envision to provide a platform for researchers to further explore innovative AI technologies combined with the domain knowledge of multimedia IoVs from both theoretical and practical perspectives. We invite researchers from academia, industry, and government to discuss challenging ideas, novel research contributions, demonstration results, and standardization efforts on multimedia communications and processing in IoVs.
The interest of this SI includes the following topics, but is not limited to:
• Smart multimedia sensors and sensing technologies for IoVs
• Intra/Inter-vehicle multimedia communications in IoVs
• Fog/Edge computing for multimedia processing in IoVs
• Big multimedia data analysis/mining for driver assistance and autonomous driving
• QoS and QoE of systems, applications, and services based on multimedia in IoVs
• Cognitive computing, affective computing, machine learning and other novel tools, services, technologies, algorithms and methods for multimedia analysis in IoVs
• Innovative architecture, infrastructure, techniques and testbeds for multimedia communications and processing in IoVs