H.2641AVC is the most recent video coding standard developed by the ITU-T Video Coding Experts Group and the ISOREC Moving Picture Experts Group. The main goal ofthe H.264IAVC standard has been to provide enhanced compression performance and provision for network friendly video representation addressing conversational and nonconversational applications. This paper mainly concentrates on two modules of the existing advanced video coding standard. The H. 264 in-loop deblocking filter is one of the several complex techniques that have realized this superior coding quality. The deblocking filter is a computationally and data intensive tool resulting in increased execution time of both the encoding and decoding processes. The existing filter ofthe H.264 video codec is not capable ofsmoothing the video thereby creating an unacceptable blun'ing phenomenon. In this paper, a new deblocking filter has been used to overcome this drawback. It has a non-linear operator that is able to effectively attenuate the noise that cOn'upts the quality of the video. The existing system uses Discrete Cosine Transformation which is proved to have several drawbacks. Hence a hybridization method has been incorporated in transformation module of video encoder. This paper presents an hybridization in the transformation module by incorporating DCT as transformation technique for inter frames and a combination ofwavelet filters for intra frames of video sequence. This proposal is also applied in the recent H.2641A VC standard and is proved to have better results.
A new generation of ATM machines has been developed. Face recognition based on the system proposed. Meanwhile, the recognition process plays an important role with a high-grade image with many details. Face image is used in this paper for authentication. At first, a specific person’s face image is differentiated with the database portrayal. Then outcome of the comparison is dispatched by serial communication to control block. If the individual is unauthorized, then the communication will be sent to the individual. The controlling part uses a micro-controller.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.