Abstract: A method for clustering product media files is provided. The method includes dividing each media file corresponding to one or more products into a plurality of tiles. The media file include one of an image or a video. Feature vectors are computed for each tile of each media file. One or more patch clusters are generated using the plurality of tiles. Each patch cluster includes tiles having feature vectors similar to each other. The feature vectors of each media file are compared with feature vectors of each patch cluster. Based on comparison, product groups are then generated. All media files having comparison output similar to each other are grouped into one product group. Each product group includes one or more media files for one product. Apparatus for substantially performing the method as described herein is also provided.

Abstract: Embodiments of the present invention provide systems and methods for automatically generating a shoppable video. A video is parsed into one or more scenes. Products and their corresponding product information are automatically associated with the one or more scenes. The shoppable video is then generated using the associated products and corresponding product information such that the products are visible in the shoppable video based on a scene in which the products are found.

Abstract: Embodiments of the present invention provide systems and methods for automatically generating a shoppable video. A video is parsed into one or more scenes. Products and their corresponding product information are automatically associated with the one or more scenes. The shoppable video is then generated using the associated products and corresponding product information such that the products are visible in the shoppable video based on a scene in which the products are found.

Abstract: Embodiments of the present invention provide systems and methods for automatically generating a shoppable video. A video is parsed into one or more scenes. Products and their corresponding product information are automatically associated with the one or more scenes. The shoppable video is then generated using the associated products and corresponding product information such that the products are visible in the shoppable video based on a scene in which the products are found.

Abstract: A method for clustering product media files is provided. The method includes dividing each media file corresponding to one or more products into a plurality of tiles. The media file include one of an image or a video. Feature vectors are computed for each tile of each media file. One or more patch clusters are generated using the plurality of tiles. Each patch cluster includes tiles having feature vectors similar to each other. The feature vectors of each media file are compared with feature vectors of each patch cluster. Based on comparison, product groups are then generated. All media files having comparison output similar to each other are grouped into one product group. Each product group includes one or more media files for one product. Apparatus for substantially performing the method as described herein is also provided.

Abstract: A method for clustering product media files is provided. The method includes dividing each media file corresponding to one or more products into a plurality of tiles. The media file include one of an image or a video. Feature vectors are computed for each tile of each media file. One or more patch clusters are generated using the plurality of tiles. Each patch cluster includes tiles having feature vectors similar to each other. The feature vectors of each media file are compared with feature vectors of each patch cluster. Based on comparison, product groups are then generated. All media files having comparison output similar to each other are grouped into one product group. Each product group includes one or more media files for one product. Apparatus for substantially performing the method as described herein is also provided.

Abstract: A method for clustering product media files is provided. The method includes dividing each media file corresponding to one or more products into a plurality of tiles. The media file include one of an image or a video. Feature vectors are computed for each tile of each media file. One or more patch clusters are generated using the plurality of tiles. Each patch cluster includes tiles having feature vectors similar to each other. The feature vectors of each media file are compared with feature vectors of each patch cluster. Based on comparison, product groups are then generated. All media files having comparison output similar to each other are grouped into one product group. Each product group includes one or more media files for one product. Apparatus for substantially performing the method as described herein is also provided.

Abstract: Embodiments of the present invention provide systems and methods for automatically generating a shoppable video. A video is parsed into one or more scenes. Products and their corresponding product information are automatically associated with the one or more scenes. The shoppable video is then generated using the associated products and corresponding product information such that the products are visible in the shoppable video based on a scene in which the products are found.

Abstract: In a short message service (SMS) wireline/wireless message system, a separate SMS exchange subsystem implements value-added service capability. The value addition service may range, for example, from simple data insertion in the SMS message to the more complex initiation of a teleconference call using inter-exchanged SMS messages.

Abstract: In a short message service (SMS) wireline/wireless message system, a separate SMS exchange subsystem implements value-added service capability. The value addition service may range, for example, from simple data insertion in the SMS message to the more complex initiation of a teleconference call using inter-exchanged SMS messages.

Abstract: A stored value commerce system and method enabling the anonymous creation and usage of stored value accounts for purchase of goods and/or services, including the anonymous redemption of a value up to a maximum of the balance value associated with a stored value account.

Abstract: A technique to register a roaming cell-phone in a visiting location as a local phone. The technique involves identifying roaming-related information from the roaming cell-phone in the visiting location, and then dynamically configuring the roaming cell-phone to operate as a local cell-phone in the visiting location.

Abstract: In a short message service (SMS) wireline/wireless message system, a separate SMS exchange subsystem implements value-added service capability. The value addition service may range, for example, from simple data insertion in the SMS message to the more complex initiation of a teleconference call using inter-exchanged SMS messages.

Abstract: A technique to register a roaming cell-phone in a visiting location as a local phone. The technique involves identifying roaming-related information from the roaming cell-phone in the visiting location, and then dynamically configuring the roaming cell-phone to operate as a local cell-phone in the visiting location.

Abstract: A stored value commerce system and method enabling the anonymous creation and usage of stored value accounts for purchase of goods and/or services, including the anonymous redemption of a value up to a maximum of the balance value associated with a stored value account.

Abstract: A system, method and data structure for on-line settlement of amounts payable to different entities within a multiple level marketing enterprise proximate the time services and/or products are rendered. The invention provides that financial settlements be made substantially immediately among the MLM company, the up-line and down-line representatives and the customer. This is achieved by a method for settling the various financial transactions through stored values personal identification numbers (PINs).

Abstract: A system and method for identifying each of a plurality of service providers cooperating to provide a service to a customer wherein a fee debited from a stored value account associated with the customer is apportioned among the cooperating service providers according to a measurement of the provided service portions.