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Intelligent method for real-time skip over video frames based on personal viewing policy

IP.com Disclosure Number: IPCOM000235949D
Publication Date: 2014-Mar-31
Document File: 2 page(s) / 44K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is an automated rule-based, real-time, look-ahead and readjustment system that can detect the age, race, ethnicity, and gender of a mixed audience, and then apply policies and preferences to accordingly skip video frames containing material that is potentially inappropriate or offensive to audience members.

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Intelligent method for real-time skip over video frames based on personal viewing policy

When viewing a movie, television show, or video with an audience of mixed ages and sensitivities, not all content is suitable or desirable for all viewers. For example, most of a movie might be suitable for a younger child, but might contain one scene that is frightening or too intense. Accordingly, users need the capability to skip over a particular scene(s) according to certain criteria, such as another viewer's age, sensitivity level, or moral standards.

One known solution determines the age of a viewer by three-dimensional body metrics. A policy-based system is used to update the profile of user and apply parental controls based on policy settings. This approach accounts for age difference, but not differences in sensitivity. Another method is to process video

content based on tags and timestamps and deny access to content based on parental controls. The limitation in this approach is that it does not take into account mixed audiences. Still another method determines emotions based on analyzing text; this solution is limited to text only. Some existing art only provides methods to identify the human object in the room. Then, based on the profile, output content is replaced by predetermined substitute content. Additionally, prior art on processing video denies the user access to the content based on preset parental controls but does not apply real-time processing based on the audience and preferences.

An automated intelligent mechanism is desired to manage active viewing situations

in real-time based on the mix of audience and preferences.

The novel contribution is an automated rule-based, real-time, look-ahead and readjustment system that can detect the age, race, ethnicity, and gender of the audience, and then apply policies and preferences and skip video frames containing material that is potentially inappropriate or offensive to members of a mixed audience.

The system is comprised is a policy-based mechanism that, in real time, looks ahead to identify, as well as skip over, undesired scenes or actions. The mechanism uses a policy syntax that e...