Multimedia data that include image and video are the biggest ‘big’ data and their applications, such as social media, healthcare, and video surveillance, are ubiquitous. However, multimedia big data (MMBD) face several privacy issues: the privacy issues of MMBD themselves through information leakage and data tampering, and the privacy issues during the processing of MMBD, such as data acquisition, data storage, and data analysis.
Compressive sensing (CS) as an emerging light-weight encryption mechanism is receives widespread attention. CS can bring a confidentiality guarantee when random measurement matrix acts as a key and would provide privacy protection for MMBD. For example, CS-based encryption is for data confidentiality and CS-based watermarking is for data integrity. Moreover, CS requires fewer samples to achieve the same reconstruction performance for the signal compared with the traditional Shannon-Nyquist sampling. CS also has the strong robustness of recovering the signal even if samples are contaminated by noise. Thus, CS has very good characteristics for privacy-preserving MMBD processing applications. Examples of potential privacy-preserving processing include low-complexity sampling for data acquisition; compression during sampling for data storage; and reconstruction robustness for data analysis.
This Special Issue aims at collecting different architectures, solutions, mechanisms to understand and exploit the potential of CS for multimedia big data privacy and processing.
Topics of interest include, but are not limited to:
MMBD encryption based on CS
MMBD steganography based on CS
MMBD watermarking, information hiding, and hashing based on CS
MMBD authentication and forensics based on CS
Privacy-preserving MMBD aggregation
Privacy-preserving MMBD representation and coding based on CS
Privacy-preserving MMBD recognition based on CS measurements
Privacy-preserving MMBD classification, restoration, and optimization based on CS and sparsity
Paper Submission: September 30, 2020
First round of reviews: November 30, 2020
Submission of revised papers: January 15, 2021
Second round of reviews: March 15, 2021
Final Papers Submission: April 30, 2021
Yushu Zhang (lead)
Nanjing University of Aeronautics and Astronautics, China
Leo Yu Zhang
Deakin University, Australia
University of Macau, Macau SAR
Wuhan University, China
Nanyang Technological University, Singapore