NDLI: Real-time image transmission on the TCP/IP network using wavelet transform and neural network

Content Provider	IEEE Xplore Digital Library
Author	Jeong Ha Kim Hyoung Bae Kim Boo Hee Nam
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Kangwon Nat. Univ., Chunchon, South Korea (Jeong Ha Kim; Hyoung Bae Kim; Boo Hee Nam)
Abstract	In this paper we discuss an algorithm for real time transmission of moving color images on the TCP/IP network using wavelet transform and neural network. The image frames received from the camera are two-level wavelet transformed in the server, and are transmitted to the client on the network. Then, the client performs the inverse wavelet-transform using only the received pieces of each image frame within the prescribed time limit to display the moving images. When the TCP/IP network is busy, only a fraction of each image frame is delivered. When the line is free, the whole frame of each image is transferred to the client. The receiver warns the sender of the condition of traffic congestion in the network by sending a special short frame for this specific purpose. The sender can respond to this information of warning by simply reducing the data rate which is adjusted by a back-propagation neural network. In this way we can send a stream of moving images by adaptively adjusting to the network traffic condition.
Sponsorship	Int. Neural Network Soc. IEEE Neural Networks Soc
Starting Page	1213
Ending Page	1218
File Size	427937
Page Count	6
File Format	PDF
ISBN	0780378989
ISSN	10987576
DOI	10.1109/IJCNN.2003.1223865
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image communication TCPIP IP networks Wavelet transforms Neural networks Telecommunication traffic Color Cameras Network servers Displays
Content Type	Text
Resource Type	Article

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