Networked Hyper QuickTime (NHQT) is a prototype education-on-demand system for delivering hypermedia annotated video over the Internet. NHQT uses World Wide Web, Gopher, and QuickTime technologies to deliver video streams with embedded uniform resource locators that point to ancillary documents or video streams. NHQT's video-based user interface supports VCR-style playback control, random positioning, content-based searching, and automatic resolution of hypermedia links for Internet access.
Bibliographical noteFunding Information:
We believe the Internet’s infrastructure will gradually migrate and incorporate high-speed networks to handle large numbers of users and applications requiring a high-aggregate bandwidth. Under a National Science Foundation (NSF) research grant, we’re developing an extensive ATM campus-wide network including high-end workstations and PCs. A small-scale ATM testbed within the campus-wide ATM network has a Fore System ASX-200BXE ATM switch connecting to a heterogeneous workstation environment with one Power Macintosh 8100/100AV, one Power Macintosh 7100/66, one Sun SparcStation 10, and one Silicon Graphics high-end Challenge machine. We built this ATM testbed network using a Macintosh as the user workstation to assimilate sender-receiver interaction within the high-speed network infrastructure. It will help us explore how NHQT could work over future high-bandwidth networks,
We wish to express our sincere gratitude to Alagu Periyannan, David Singer, and Mengjou Lin (now with IXMicro) in the Communications Products and Technologies Group, Apple Computer for providing the ATM middleware and loaning the ATM Interface card on a Macintosh platform; to Thilaka S. Sumanaweera and Yi-Fen Yen in Lucas MRS Imaging Center at Stanford University, who created and provided access to the NMR movie clip in QuickTime; to Thomas Erickson of Apple Computer for his user interface advice; and to Jenwei Hsieh and Srihari Nelaku-diti of the Distributed Multimedia Research Center at the University of Minnesota for their suggestions in this work. We extend our special thanks to the anonymous reviewers for their valuable comments. This work was supported in part by NSF Grant CDA-9502979 and a gift from IBM.