Towards Smarter Cities: Learning from Internet of Multimedia Things-Generated Big Data

in Special Issue   Posted on December 28, 2016 

Information for the Special Issue

Special Issue Call for Papers:

This special issue calls for original works revealing the latest research on deep learning from big multimedia data for smart cities. The proposed non-exhaustive list of topics in this special issue is as follows:

Data collection and storage for deep learning in smart cities
Supervised, semi-supervised, and unsupervised feature learning from IoMT big data
Scalable and semantics-driven indexing of big multimedia data in smart cities
Context-based summarization and abstraction of IoMT big data
Online stream processing of IoMT big data for smarter cities applications
Efficient and scalable inference of IoMT-oriented deep models
Real-time vision through efficient deep convolutional neural networks (CNN)
Optimizing deep CNNs for embedded vision in smart cities
Utilizing embedded processing for ingesting big multimedia data in IoMT sensor networks
Physical cyber systems related solutions for big data security and privacy in smart cities
Smarter surveillance
Real-time emergency detection through visual analytics and response invocation
Information hiding solutions (steganography, watermarking) in smart cities

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