In multimedia sensor networks, the multimedia sensors in the form of various cameras and recorders collect multimedia information including images, video and audio, which generate a large volume of heterogeneous data every day. How to represent, analyze and understand these multimedia sensor contributed data efficiently and effectively become a timely and important topic for both industry and academia.

Recent advancements in big data analytics have already opened many avenues for multimedia sensor networks related applications. Examples span a wide range of visual and audio understanding tasks including object/action recognition, speech recognition, multimedia search, machine translation, video event detection, vision to language, etc. There is no doubt that big data analytics will still contribute to these applications as well as other emerging multimedia sensor networks related applications. Therefore, more innovative methods and systems are highly desired to enrich the methodology and applications of both big data analytics and multimedia sensor networks.