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 :
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