Abstract: An interactive system provides for increasing retrieval performance of images depicting text by allowing users to provide relevance feedback on words contained in the images. The system includes a user interface through which the user queries the system with query terms for images contained in the system. Word image suggestions are displayed to the user through the user interface, where each word image suggestion contains the same or slightly variant text as recognized from the word image by the system than the particular query terms. Word image suggestions can be included in the system by the user to increase system recall of images for the one or more query terms and can be excluded from the system by the user to increase precision of image retrieval results for particular query terms.

Abstract: Blogs (and other information sources) are recommended to a user based history of user's online activities. The system: (1) processes the user's web history, (2) identifies blog posts (and web pages) that link to pages read by the user, (3) generates multiple relevance scores for each identified post/page, and (4) produces multiple rankings of the corresponding source blogs (and web sites) by aggregating individual relevance scores (or combinations of relevance scores), according to users' preferences. The system allows the discovery of information sources that are likely to be interesting to the user and allows sources lost in the “long tail” to be seamlessly discovered.

Abstract: Blogs (and other information sources) are recommended to a user based history of user's online activities. The system: (1) processes the user's web history, (2) identifies blog posts (and web pages) that link to pages read by the user, (3) generates multiple relevance scores for each identified post/page, and (4) produces multiple rankings of the corresponding source blogs (and web sites) by aggregating individual relevance scores (or combinations of relevance scores), according to users' preferences. The system allows the discovery of information sources that are likely to be interesting to the user and allows sources lost in the “long tail” to be seamlessly discovered.

Abstract: A method of classifying images as slide images or non-slide images can be done by capturing a video stream, analyzing an image of the video stream and determining whether the image is a slide image. The analyzing can be based on text height and/or edge region(s) of the image.

Abstract: An interactive system provides for increasing retrieval performance of images depicting text by allowing users to provide relevance feedback on words contained in the images. The system includes a user interface through which the user queries the system with query terms for images contained in the system. Word image suggestions are displayed to the user through the user interface, where each word image suggestion contains the same or slightly variant text as recognized from the word image by the system than the particular query terms. Word image suggestions can be included in the system by the user to increase system recall of images for the one or more query terms and can be excluded from the system by the user to increase precision of image retrieval results for particular query terms.

Abstract: The present invention provides employees and/or associates the opportunity to share corporate knowledge via the storage of electronic message (email) with user awareness and consent features. In various embodiments of the invention, awareness and consent over email sharing is provided via automated message modification and message generation. In one embodiment of the invention, the granted sharing permissions are communicated to all original message recipients and authors to enhance awareness of sharing decisions made by individual employees. All employees who are allowed to access the shared content according to the sharing privileges can subsequently find or discover content via full-text searches or other means, such as content-based recommendations.

Abstract: A method of classifying images as slide images or non-slide images can be done by capturing a video stream, analyzing an image of the video stream and determining whether the image is a slide image. The analyzing can be based on text height and/or edge region(s) of the image.