Paper
14 March 1995 Application-level technique for faster transmission of large images on the internet
L. Rodney Long, Lewis E. Berman, Leif Neve, Gautam Roy, George R. Thoma
Author Affiliations +
Proceedings Volume 2417, Multimedia Computing and Networking 1995; (1995) https://doi.org/10.1117/12.206077
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
An application-level technique for improving the transmission rate of large files is described in this paper. Such techniques are important in areas such as telemedicine, where near-real-time delivery of large files such as digital images is a goal: end users may include specialist whose time is scarce and expensive, and timely access to the data may be necessary for effective clinical treatment. Faster delivery is also an enabling technology for accessing remote medial archives. In conventional TCP/IP transmission, data to be transmitted is sent down one logical communication channel. Our technique divided the data into segments; each segment is sent down its own channel, and the segments are reassembled into a copy of the original data at the receiving end. This technique has been implemented and tested in a client-server program using Berkeley Unix sockets, multiple independent process for channel control, and interprocess communication techniques to guarantee the receipt and correct reassembly of the transmitted data. Performance measurements have been made on several hundred Internet transmissions (including Arizona-to-Maryland transmissions) of 5-megabyte cervical x- ray images. Transmission time as a function of number of channels has been recorded, and a 3-fold improvement in transmission rate has been observed.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. Rodney Long, Lewis E. Berman, Leif Neve, Gautam Roy, and George R. Thoma "Application-level technique for faster transmission of large images on the internet", Proc. SPIE 2417, Multimedia Computing and Networking 1995, (14 March 1995); https://doi.org/10.1117/12.206077
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Cited by 9 scholarly publications.
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KEYWORDS
Internet

Image processing

Chlorine

Data communications

Sun

Image segmentation

Process control

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