Embodiments are directed to techniques for image content extraction. Some embodiments include extracting contextually structured data from document images, such as by automatically identifying document layout, document data, document metadata, and/or correlations therebetween in a document image, for instance. Some embodiments utilize breakpoints to enable the system to match different documents with internal variations to a common template. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. Many embodiments are directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. Several embodiments are directed to automatically identifying and associating document metadata with corresponding document data in a document image to generate a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation may be used to generate a template for the template database.

Embodiments are directed to techniques for image content extraction. Some embodiments include extracting contextually structured data from document images, such as by automatically identifying document layout, document data, document metadata, and/or correlations therebetween in a document image, for instance. Some embodiments utilize breakpoints to enable the system to match different documents with internal variations to a common template. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. Many embodiments are directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. Several embodiments are directed to automatically identifying and associating document metadata with corresponding document data in a document image to generate a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation may be used to generate a template for the template database.

A customizable memorabilia system is provided. The system includes a computer server having a memory storing memorabilia templates and ticketed experience data associated with the memorabilia templates. The system also includes a user computing device coupled to the computer server. The computer server may be programmed to receive from the user computing device a signal including E-ticket data, wherein the E-ticket data may include ticket code information. The computer server may also be programmed to automatically process the signal received from the user computing device and retrieve ticketed experience data corresponding to the E-ticket data. Using the ticketed experience data retrieved, the computer server may also be programmed to automatically generate and transmit to the user computing device for display a user interface for customizing a memorabilia template with customizable features, wherein the customizable features are customized for producing a memorabilia item including a physical item or a digital item.

A customizable memorabilia system is provided. The system includes a computer server having a memory storing memorabilia templates and ticketed experience data associated with the memorabilia templates. The system also includes a user computing device coupled to the computer server. The computer server may be programmed to receive from the user computing device a signal including E-ticket data, wherein the E-ticket data may include ticket code information. The computer server may also be programmed to automatically process the signal received from the user computing device and retrieve ticketed experience data corresponding to the E-ticket data. Using the ticketed experience data retrieved, the computer server may also be programmed to automatically generate and transmit to the user computing device for display a user interface for customizing a memorabilia template with customizable features, wherein the customizable features are customized for producing a memorabilia item including a physical item or a digital item.

Provided is a method for automatically generating a banner image for a promotion, performed by a computing device comprising a processor and a memory. The method comprises the steps of: acquiring information about any concept classification to which a product or service to be promoted corresponds from among a plurality of predefined concept classifications; determining a setting value for a foundation that is a minimum unit constituting the design of a banner image, on the basis of the concept classification to which the product or service to be promoted belongs; determining at least one component included in the banner image, on the basis of the setting value for the foundation; and generating at least one banner template including component arrangement information that is information about the location and size of which of the at least one component.

Provided is a method for automatically generating a banner image for a promotion, performed by a computing device comprising a processor and a memory. The method comprises the steps of: acquiring information about any concept classification to which a product or service to be promoted corresponds from among a plurality of predefined concept classifications; determining a setting value for a foundation that is a minimum unit constituting the design of a banner image, on the basis of the concept classification to which the product or service to be promoted belongs; determining at least one component included in the banner image, on the basis of the setting value for the foundation; and generating at least one banner template including component arrangement information that is information about the location and size of which of the at least one component.

Systems, techniques, and user interfaces are disclosed for an object-centric builder software that can utilize an ontology to design, configure, and build a workflow application that also references the ontology to perform a workflow. The ontology may serve as a data model for stored data associated with the particular workflow. The builder software may leverage the ontology to obtain advance knowledge of the availability and structure of the stored data that will be accessible to the workflow application at run-time, in order to build a workflow application that is well-tailored for that particular workflow. This approach may also result in flexible workflow applications that are easily built and maintained.

Systems, techniques, and user interfaces are disclosed for an object-centric builder software that can utilize an ontology to design, configure, and build a workflow application that also references the ontology to perform a workflow. The ontology may serve as a data model for stored data associated with the particular workflow. The builder software may leverage the ontology to obtain advance knowledge of the availability and structure of the stored data that will be accessible to the workflow application at run-time, in order to build a workflow application that is well-tailored for that particular workflow. This approach may also result in flexible workflow applications that are easily built and maintained.

According to one embodiment, an information processing apparatus includes a processor. The processor generates a template, regarding a recording data sheet including a plurality of items, for one or more of the items that can be specified, with reference to an input order of input target items selected from the items. The processor performs a speech recognition on an utterance of a user and generate a speech recognition result. The processor determines an input target range relating to one more items specified by the utterance of the user among the items based on the template and the speech recognition result.

According to one embodiment, an information processing apparatus includes a processor. The processor generates a template, regarding a recording data sheet including a plurality of items, for one or more of the items that can be specified, with reference to an input order of input target items selected from the items. The processor performs a speech recognition on an utterance of a user and generate a speech recognition result. The processor determines an input target range relating to one more items specified by the utterance of the user among the items based on the template and the speech recognition result.