Abstract: An advertising system and method are disclosed for generating advertising content based on a user's images. These can be photographs owned by a user of a web page. An advertising template for an advertising sponsor is provided. For a user viewing the web page, a set of the user's images is categorized, based on image content of the images in the set. The categorization is performed with at least one classifier which has been trained on a finite set of image categories. An advertising image is selected for advertising content based on the categorization of the user's images. The template is combined with the selected advertising image to form the advertising content. The advertising content can then be displayed to the user on the web page. A user profile is also disclosed which can be used as the categorized user images.

Abstract: A system and a method for playing a photograph-based game are provided. The method includes establishing a communication link between a game playing system and one or more game playing devices, each of which is operated by a respective player. Game rules are presented to the player(s) on the respective game playing device(s). The game rules include at least one task for the submission of at least one photographic image. Provision is made for receiving a photographic image in the game playing system which has been submitted via the established link from the game playing device in response to the presented task. An image signature is computed for the submitted photographic image based on visual features extracted from the image and a relevance to the task is computed, based on the computed image signature. A score for the game is output for each player, based on the computed relevance of the submitted images for each of the tasks.

Abstract: A system and a method for playing a photograph-based game are provided. The method includes establishing a communication link between a game playing system and one or more game playing devices, each of which is operated by a respective player. Game rules are presented to the player(s) on the respective game playing device(s). The game rules include at least one task for the submission of at least one photographic image. Provision is made for receiving a photographic image in the game playing system which has been submitted via the established link from the game playing device in response to the presented task. An image signature is computed for the submitted photographic image based on visual features extracted from the image and a relevance to the task is computed, based on the computed image signature. A score for the game is output for each player, based on the computed relevance of the submitted images for each of the tasks.

Abstract: An advertising system and method are disclosed for generating advertizing content based on a user's images. These can be photographs owned by a user of a web page. An advertising template for an advertising sponsor is provided. For a user viewing the web page, a set of the user's images is categorized, based on image content of the images in the set. The categorization is performed with at least one classifier which has been trained on a finite set of image categories. An advertising image is selected for advertising content based on the categorization of the user's images. The template is combined with the selected advertising image to form the advertising content. The advertising content can then be displayed to the user on the web page. A user profile is also disclosed which can be used as the categorized user images.

Abstract: A method is provided for selecting fields of an electronic form for automatic population with candidate text segments. The candidate text segments can be obtained by capturing an image of a document, applying optical character recognition to the captured image to identify textual content, and tagging candidate text segments in the textual content for fields of the form. The method includes, for each of a plurality of fields of the form, computing a field exclusion function based on at least one parameter selected from a text length parameter, an optical character recognition error rate, a tagging error rate, and a field relevance parameter; and determining whether to select the field for automatic population based on the computed field exclusion function.

Abstract: A method is provided for selecting fields of an electronic form for automatic population with candidate text segments. The candidate text segments can be obtained by capturing an image of a document, applying optical character recognition to the captured image to identify textual content, and tagging candidate text segments in the textual content for fields of the form. The method includes, for each of a plurality of fields of the form, computing a field exclusion function based on at least one parameter selected from a text length parameter, an optical character recognition error rate, a tagging error rate, and a field relevance parameter; and determining whether to select the field for automatic population based on the computed field exclusion function.