How do you think the new GigE standards will influence the machine vision industry?
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By Leonard A. Hindus
Many organizations are tackling the problem of how to make video images and the information they contain accessible. Few other organizations have ever attempted to index the amount of videotape that MBARI has collected. Even fewer maintain the depth of information the VARS system contains.
MBARI had a vision of what data they wanted to annotate. Even more remarkable, they wanted to make the knowledge base available to any researcher, anywhere who wanted to use it. The combination of the Annotation System and Knowledge base and the Query System is a practical example of how videotape can be turned into a flexible resource. MBARI is achieving its primary goal of turning thousands of hours of videotape into a flexible knowledge resource for the global research community.