摘要:
A method and system for making marketing campaigns discoverable to non-recipients via, for example, the Internet. In one example, information from a VDP marketing campaign is used to generate metadata that is embedded in web pages that support the VDP campaign. A non-recipient Internet user may discover the VDP campaign through various paths, such as via search engine results returned to the user during a web search.
摘要:
Embodiments of the disclosure simplify the design process by drawing inferences based on data input by the user and making design suggestions to the user. In accordance with one aspect of the present disclosure, apparatus are provided that assist users in the design of a personalized marketing campaign. A user interface is disclosed that allows the user to input data and receive information. A personalized marketing campaign knowledge database is disclosed that contains data encoding concepts extracted from complete personalized marketing campaigns and semantic definitions of those concepts. A semantic inference engine is also disclosed which draws inferences based on a comparison of the semantics of the data entered by the at least one user and the semantic definitions of the concepts encoded in the knowledge database, and communicates those inferences to the at least one user to assist the user in construction of the marketing campaign.
摘要:
In accordance with one aspect of the present disclosure, apparatus are provided that allow for the automatic categorization of the subsets of a user-supplied data set, for example recipient lists for a multivariable distribution campaign. A user interface is disclosed that facilitates the uploading of the user's recipient list. A categorizer is disclosed which categorizes subsets of the user-supplied data. A storage mechanism is disclosed which stores reference categories of data expected by the multi-variable campaign logic. A mapper is disclosed which maps the user supplied data categorized by the categorizer to the reference categories stored by the storage mechanism.
摘要:
As set forth herein, computer-implemented methods and systems facilitate providing an approach for using defined patterns of variable-data campaigns to enable a marketing service provider to express a non-expert user's desired campaign intent, using natural language and campaign intent terms, as well as to accurately capture the non-expert user's intent by communicating using non-technical campaign terminology. Communication of semantically robust campaign intent to variable-data campaign graphic designers and developers is facilitated by the described systems and methods, as is automated creation of a variable-data logic (plan) file based on semantic campaign intent. The described systems and methods facilitate the creation of variable data publishing (VDP) marketing campaigns by the non-expert, as well as communication and collaboration with the rest of a VDP design team.
摘要:
Methods and systems herein receive a selection of at least one variable data printing (VDP) pattern from a first user to compose an initial sample design. The methods receive image, text, and graphics into the initial sample design from the first user and the user tags such image, text and graphics with VDP pattern elements. The processes of receiving the image, text, and graphics and tagging alter the initial sample design into the tagged sample design. Further, the methods and systems can automatically convert the tagged sample design into at least one different format file. The methods and systems can automatically provide the different format file to at least one second user. Additionally, the second user can include data components into the different format file to support the composition of a targeted marketing campaign sample.
摘要:
Methods and systems herein receive a selection of at least one variable data printing (VDP) pattern from a first user to compose an initial sample design. The methods receive image, text, and graphics into the initial sample design from the first user and the user tags such image, text and graphics with VDP pattern elements. The processes of receiving the image, text, and graphics and tagging alter the initial sample design into the tagged sample design. Further, the methods and systems can automatically convert the tagged sample design into at least one different format file. The methods and systems can automatically provide the different format file to at least one second user. Additionally, the second user can include data components into the different format file to support the composition of a targeted marketing campaign sample.
摘要:
As set forth herein, a computer-implemented method facilitates pre-analyzing an image and automatically suggesting to the user the most suitable regions within an image for text-based personalization. Image regions that are spatially smooth and regions with existing text (e.g. signage, banners, etc.) are primary candidates for personalization. This gives rise to two sets of corresponding algorithms: one for identifying smooth areas, and one for locating text regions. Smooth regions are found by dividing the image into blocks and applying an iterative combining strategy, and those regions satisfying certain spatial properties (e.g. size, position, shape of the boundary) are retained as promising candidates. In one embodiment, connected component analysis is performed on the image for locating text regions. Finally, based on the smooth and text regions found in the image, several alternative approaches are described herein to derive an overall metric for “suitability for personalization.”
摘要:
As set forth herein, a computer-implemented method facilitates pre-analyzing an image and automatically suggesting to the user the most suitable regions within an image for text-based personalization. Image regions that are spatially smooth and regions with existing text (e.g. signage, banners, etc.) are primary candidates for personalization. This gives rise to two sets of corresponding algorithms: one for identifying smooth areas, and one for locating text regions. Smooth regions are found by dividing the image into blocks and applying an iterative combining strategy, and those regions satisfying certain spatial properties (e.g. size, position, shape of the boundary) are retained as promising candidates. In one embodiment, connected component analysis is performed on the image for locating text regions. Finally, based on the smooth and text regions found in the image, several alternative approaches are described herein to derive an overall metric for “suitability for personalization.”
摘要:
Embodiments relate to systems and methods for image or video personalization with selectable effects. Image data, which can include video sequences or digital still images, can be received in a graphical personalization tool to perform various image processing and related operations to insert personalized objects into the image data. In aspects, the personalized object(s) can be or include graphical inputs such as, for instance, textual information, graphical information, and/or other visual objects. The graphical personalization tool can automatically perform one or more processing stages in the image path, such as identifying key regions in a still image and/or key frames in a video sequence, in which personalized objects will be generated and inserted. Personalized objects can be extended to additional regions of a still image, can be animated across multiple still images, and/or can be extended to additional frames of a video sequence, all on an automated or user-assisted basis.
摘要:
Embodiments relate to systems and methods for image or video personalization with selectable effects. Image data, which can include video sequences or digital still images, can be received in a graphical personalization tool to perform various image processing and related operations to insert personalized objects into the image data. In aspects, the personalized object(s) can be or include graphical inputs such as, for instance, textual information, graphical information, and/or other visual objects. The graphical personalization tool can automatically perform one or more processing stages in the image path, such as identifying key regions in a still image and/or key frames in a video sequence, in which personalized objects will be generated and inserted. Personalized objects can be extended to additional regions of a still image, can be animated across multiple still images, and/or can be extended to additional frames of a video sequence, all on an automated or user-assisted basis.