System and method for flexible video construction

Abstract

A system and method for automatically constructing personalized video clips for a viewer.

Description

FIELD OF THE INVENTION[0001]The present invention relates to a system and method for dynamic and real-time video construction, and in particular, to such flexible construction of a personalized video clip.BACKGROUND OF THE INVENTION[0002]In a study by Kutner, M. et al, Results From the 2003 National Assessment of Adult Literacy, 2006, incorporated by reference as if fully set forth herein, it was shown that only 12 percent of the more than 19,000 adults surveyed demonstrated what is considered to be Proficient health literacy. This means that 9 out 10 people could not use medical information properly, resulting in incorrect usage of medication, wrong preparation before procedures, misbehavior post-discharge, etc. resulting in poor outcomes. Vernon, J. et al. Low Health Literacy: Implications for National Health Policy, 2007, incorporated by reference as if fully set forth herein, estimated the cost of low health literacy to the U.S. economy in the range of $106 billion to $238 billi...

AI Technical Summary

Benefits of technology

The text suggests that video is more engaging and effective than audio or text, and that personalized content is more effective than generic content in appealing to users. This combination is particularly useful for instructional video clips.

Problems solved by technology

This means that 9 out 10 people could not use medical information properly, resulting in incorrect usage of medication, wrong preparation before procedures, misbehavior post-discharge, etc. resulting in poor outcomes.

Thus the use of written information as the main source of medication counseling for patients is problematic for many.

However, currently such construction requires manual intervention, such that personalization of such clips is cost prohibitive.

Also, performing this in real-time and on-demand is expensive and currently impossible with low-end hardware.

For example, an instructional video clip is usually not personalized to address a specific user, or even the specific needs of a specific user, simply because it is too expensive to do so.

Indeed, personalized on-demand video could find usage in a range of non-medical fields such as advertising, instruction or general informational videos, but the problems described above, such as the time for manual personalization, and the cost of high-end hardware, generally prevents such applications.

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