@inproceedings{aa78c0a14eb947aaa322b664c95deb88,
title = "Multiband curvelet-based technique for audio visual recognition over internet protocol",
abstract = "The transmission of the entire video and audio sequences over an internal or external network during the implementation of audio-visual recognition over internet protocol is inefficient especially when only selected data out of the entire video and audio sequences are actually used for the recognition process. Hence, in this paper, we propose an efficient method of implementing audio-visual recognition over internet protocol whereby only the extracted audio-visual features are transmitted over internet protocol. To extract the robust features from the video sequence, a multiband curvelet-based technique is employed at the client whereas a late multi-modal fusion scheme using RBF neural network is employed at the server to perform the recognition across both modalities. The proposed audio-visual recognition system is implemented on several standard audio-visual databases to showcase the efficiency of the system.",
keywords = "curvelet transform, internet protocol, multiband technique, windows sockets",
author = "Ch'ng, {Sue Inn} and Seng, {Kah Phooi} and Ong, {Fong Tien} and Ang, {Li Minn}",
year = "2012",
doi = "10.1007/978-3-642-32573-1_21",
language = "English",
isbn = "9783642325724",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering",
pages = "132--138",
booktitle = "Signal Processing and Information Technology - First International Joint Conference, SPIT 2011 and IPC 2011, Revised Selected Papers",
note = "1st Joint International Conference on Advances in Signal Processing and Information Technology, SPIT 2011 and the International Conference on Recent Trends in Information Processing and Computing, IPC 2011 ; Conference date: 01-12-2011 Through 02-12-2011",
}