DocumentCode
2456565
Title
Perceptual Content Authentication and Tamper Detection of Facial Image
Author
Han, Qi ; Qiong Li ; Niu, Xiamu
Author_Institution
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
fYear
2009
fDate
12-14 Sept. 2009
Firstpage
811
Lastpage
814
Abstract
Immersive sound spaces which are synthesized using virtual reality techniques have recently been developed to realize highly realistic telecommunication interactions. In real world soundscapes the sounds we usually listen to include background or ¿ambient¿ sounds such as the sounds of the ventilation system in a room. However, current virtual auditory display systems generate point sound sources which are often attributed to specific object locations. Therefore, it is possible to reproduce sound direction, but no information about the sound space is included. As a result, the sound output is often dry and unnatural. In this research, a rendering method for ambient sounds and its effects are investigated. An optimum rendering algorithm of ambient sounds is proposed and its effects on the quality of sound space are examined.
Keywords
Gabor filters; authorisation; cryptography; image sequences; Gabor skeleton; facial image authentication; human vision perception; maximum Gabor correlation; media security; perceptual feature expression; robust image hash sequence; structure feature; tamper detection scheme; Authentication; Computer science; Computer security; Face detection; Humans; Image processing; Information security; Robustness; Signal processing; Skeleton;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
Conference_Location
Kyoto
Print_ISBN
978-1-4244-4717-6
Electronic_ISBN
978-0-7695-3762-7
Type
conf
DOI
10.1109/IIH-MSP.2009.268
Filename
5337086
Link To Document