Face protection by fast selective encryption in a video

Abstract

In this paper we propose an approach for monitoring human activities in an indoor environment using detected and tracked face and selective encryption. The objective is to encrypt partially the human face in a video sequence. This approach is based on AES stream ciphering using VLC (Variable Length Coding) of the Huffman's vector. The proposed scheme allows scalable decryption of a specific region of image and result in a significant reduction in encrypting and decrypting processing time. It also provides a constant bit rate and keep the JPEG and MPEG bitstream compliance.

Secure privacy vault design for distributed multimedia surveillance system

“…J.M. Rodrigues et al [9] proposed a method to partially encrypt the face in video sequence. This method is based on Advanced Encryption Standard (AES) stream ciphering using variable length coding of the Huffman's vector.…”

“…Dominant approaches are scrambling and data hiding methods [3][4][5][6][7][8], cryptographic encryption [2,9], and access control policy [10,11]. The scrambling and data hiding approaches usually first identify the regions of interest in video data that are potentially privacy-sensitive, and scramble that region to minimize the chance of privacy leakage.…”

Chaotic Cryptosystem for Selective Encryption of Faces in Photographs

“…ese authors also carried out a balance between image similarities and differences in order to detect human faces even when they had noise or facial expressions and different poses [2]. However, facial recognition can also be utilized to generate damage; thus, it is necessary permit the protection of identity by means of encryption systems, which can be employed to code photographs completely, although it is most recommendable to perform selective encryption, whether on the borders or using facial detection because this considerably reduces the system's time and resources [3,4]. Shakir et al detected faces in the images, considering a database that contains information of different parts of the skin [5].…”

Towards Privacy Preserving Multimedia Surveillance System: A Secure Privacy Vault Design

“…Dominant approaches are scrambling method [1]- [3], data hiding [4]- [6], cryptographic encryption [7], [8], and access control policy [9], [10]. The scrambling and data hiding approaches usually first identify the regions of interest in video data that are potentially privacy-sensitive, and scramble that region to minimize the chance of privacy leakage.…”

“…J.M. Rodrigues et al [8] proposed a method to partially encrypt the face in video sequence. This method is based on Advanced Encryption Standard (AES) stream ciphering using variable length coding of the Huffman's vector.…”