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Blurring/Blocking View of Object in Image to Prevent Spoiler Disclosure Number: IPCOM000246988D
Publication Date: 2016-Jul-20
Document File: 3 page(s) / 28K

Publishing Venue

The Prior Art Database


Disclosed is a system and method for blurring/blocking an object in an image to prevent the release of spoiler information, based on a particular user and the associated media viewing history.

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Blurring/Blocking View of Object in Image to Prevent Spoiler

Social media and the internet increase the potential for a user to be exposed to information about a movie, book, television show, etc. that ruins the surprise or deflates the suspense for a viewer or reader. This information leak is known as a spoiler , because it damages the consumer's experience.

Advancements in technology allow users to block certain textual elements in social media to prevent spoilers; however, users cannot block images. Existing anti-spoiler technologies are predicated on the content submitters' correct usage. In addition, some use text links to link to a separate page or display when used with images. If the image exists in-line on a page, then the system drastically alters the end user's experience or removes relevant information. In many cases, these spoiler tags are only cascading style sheet (CSS) changes and do not provide the end user with any context for the image.

The novel contribution is a system that utilizes current cognitive vision capabilities for detecting items in a photo/video and then blurring/blocking out certain items that pose a spoiler risk to the viewer. The main idea of the solution consists of detecting a potential spoiler within an image, editing that image to blur or mask the spoiler, and then displaying the result for the end user with a generalized text option to remove the masking/blurring.

The novel system can run on the user's browser or within an application itself. When a user opens a web page containing either a discussion in a multi-user environment or single user-posted content, the system scans the page for images. The system processes the images to determine content, contained text, or entities. The system compares the identified information to the user's consumption history catalogue. Information is derived to determine if the user has read, seen, and/or heard the information contained within the image. The user's consumption catalogue can also be leveraged to determine if this represents something the user might view (in the case of a visual media) in the future based on interests, regardless of the associated viewing history.

If the system determines with a level of certainty that the user has not read, seen, or heard the context of the image, then the system determines with a level of confidence that this image represents a spoiler. The system then determines which components of the image represent the spoiler and creates a generalized, non-spoiler title for the image based on its context.

The system then uses this information to blur or mask the spoiling components of the image. The system displays the altered image to the end user along with a generalized text to allow the user to make the decision to remove the blur/masking from the image.

The system consists of the following components:

 Existing Media Outlet: social media, blog, news feed, article etc. showing posted


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