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TECHNIQUES FOR SUGGESTING SHOPPING SITES OR MERCHANDISE BASED ON VIDEO IMAGES

IP.com Disclosure Number: IPCOM000213882D
Publication Date: 2012-Jan-03
Document File: 3 page(s) / 74K

Publishing Venue

The IP.com Prior Art Database

Related People

Gerald F. Vander Voord: AUTHOR

Abstract

Enhanced techniques for suggesting merchandise or shopping websites to online consumers are provided. Traditionally, standard suggestion methods involve using browser cookies, global positioning system (GPS) location information, previous browsing history information and demographic comparison techniques. These enhanced techniques improve on these methods by analyzing the contents of a potential consumer’s surroundings through video analysis and using the video analysis to suggestion shopping, dining or viewing options to the potential consumer.

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TECHNIQUES FOR SUGGESTING SHOPPING SITES OR MERCHANDISE BASED ON VIDEO IMAGES

    AUTHOR: Gerald F. Vander Voord

CISCO SYSTEMS, INC.

                    ABSTRACT
Enhanced techniques for suggesting merchandise or shopping websites to online

consumers are provided. Traditionally, standard suggestion methods involve using browser cookies, global positioning system (GPS) location information, previous browsing history information and demographic comparison techniques. These enhanced techniques improve on these methods by analyzing the contents of a potential consumer's surroundings through video analysis and using the video analysis to suggestion shopping, dining or viewing options to the potential consumer.

               DETAILED DESCRIPTION
A video-based object detection application is described. This application runs on any

computing device that can capture video as a part of a video call or recording scenario including, but not limited to, Windows-based or Apple computers, Android or iOS-based handheld video endpoints and Cisco Telepresence hardware. The application takes a snapshot of a video stream used in a video call, preferably for a mobile or home-based user. Using existing technology and video scanning algorithms, a user's environment is scanned for recognizable objects. Based on the surroundings, the application compiles and refines a list of suggestions for services or merchandise.

    For example, in a living room setting, the application may recognize a fireplace in the environment and may store this information in a database. Offers may later be sent to the user for activities such as chimney sweeping, firewood or pest control. In this example, the application might present the user with the offer: "You have a fireplace, you need firewood." In another example, the application may detect a football on a bookshelf and may recommend

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Copyright 2012 Cisco Systems, Inc.


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tickets to an upcoming football game or may use the da...