TY - BOOK AU - ED - SpringerLink (Online service) TI - Image and Video Encryption: From Digital Rights Management to Secured Personal Communication T2 - Advances in Information Security, SN - 9780387234038 AV - Libro electrónico U1 - 005.82 23 PY - 2005/// CY - Boston, MA PB - Springer US KW - Computer science KW - Data structures (Computer science) KW - Data encryption (Computer science) KW - Multimedia systems KW - Computer vision KW - Computer graphics KW - Computer Science KW - Data Encryption KW - Data Structures, Cryptology and Information Theory KW - Multimedia Information Systems KW - Image Processing and Computer Vision KW - Computer Imaging, Vision, Pattern Recognition and Graphics KW - Computer Graphics N1 - Visual Data Formats -- Cryptography Primer -- Application Scenarios for the Encryption of Visual Data -- Image and Video Encryption -- Conclusions; ZDB-2-SCS N2 - Image and Video Encryption provides a unified overview of techniques for encryption of images and video data. This ranges from commercial applications like DVD or DVB to more research oriented topics and recently published material. This volume introduces different techniques from unified viewpoint, then evaluates these techniques with respect to their respective properties (e.g., security, speed.....). Encryption of visual data is an important topic in the area of mutimedia security, applications range from digital rights management (DVD, DVB) ) to secure personal communications. Within this topic area, we face several aims which contradict each other. What we thrive on is good compression, fast compression, high security, fast encryption, bitstream compliance, little power consumption and little memory requirements. The authors experimentally compare different approaches proposed in the literature and include an extensive bibliography of corresponding published material. Image and Video Encryption is designed for a professional audience composed of researchers and practitioners in industry. The book is also suitable for graduate-level students in computer science and electrical engineering UR - http://dx.doi.org/10.1007/b101495 ER -