Google Inc.

Adam Mathes

Xuefu Wang

Jeffrey M Bartelma

Gopal Venu Vemula

William Noah Schilit

Okan Kolak

A corpus contains digital text from multiple documents. A passage mining engine identifies similar passages in the documents and stores data describing the similarities. The passage mining engine groups similar passages into groups based on degree of similarity or other criteria. The passage mining engine ranks the similar passages found in the text corpus based on quality or other criteria. A user interface is presented that includes hypertext links associated with the similar passages that allow a user to navigate the documents.

Identifying and linking similar passages in a digital text corpus

A user interface (e.g., a browser window) includes a display area for displaying an image (e.g., a book page image). The image can be rescaled based on the dimensions of the display area, one or more attributes of the image and other factors. In some implementations, a sequence of images are searched for a table of contents. If a table of contents does not exist, one is created by searching the images for white space and/or other attributes that can be used to determined entries in the table of contents. The entries in the table of contents can be hypertext links.

Recognizing table of contents in an image sequence

A user interface (e.g., a browser window) includes a display area for displaying a content reference page. In some implementations, a content reference page is generated that includes information related to content. The content reference page includes sections for presenting keywords found in the content, reviews of the content, portions of content that are of interest to a user (or a class of users) and other useful references, etc.

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Mountain View, CA, United States of America

Adam Mathes