Abstract: Systems and methods are described to identify in the images text, people, landmarks, objects, or any combination thereof and to store and search for images based on extracted data. A portable computing device, such as a wireless phone or tablet computer, may capture an image, determine context data associated with the image, and send the image and context data to an analyzer. The analyzer may extract data from the image and send the extracted data to the portable computing device. For example, the analyzer may determine if the image includes alphanumeric characters and perform character recognition (e.g., using optical character recognition (OCR) or similar technology). A format of the characters that are recognized in the image may be analyzed to determine additional information, such as whether the characters are a phone number, a uniform resource locator (URL), a name of a person, a name of a location, or the like. The analyzer may determine if the image includes a person, a landmark, an object, etc.

Abstract: Systems and techniques for determining an expertise of an employee in an enterprise are described. A crawler may examine one or more external data sources that are external to an enterprise network associated with the enterprise to identify one or more documents associated with the employee. The external data sources may include patent databases, technical paper databases, and the like. A classifier may be used to determine keywords in the one or more documents. For each of the keywords, a term frequency-inverse document frequency (TF-IDF) value may be determined. The keywords may be ranked based at least in part on the TF-IDF value associated with each keyword to create ranked keywords. The ranked keywords may be displayed. A font characteristic used to display a particular keyword of the ranked keywords may be determined based at least partly on the TF-IDF value associated with the particular keyword.

Abstract: Systems and methods are described to identify in the images text, people, landmarks, objects, or any combination thereof and to store and search for images based on extracted data. A portable computing device, such as a wireless phone or tablet computer, may capture an image, determine context data associated with the image, and send the image and context data to an analyzer. The analyzer may extract data from the image and send the extracted data to the portable computing device. For example, the analyzer may determine if the image includes alphanumeric characters and perform character recognition (e.g., using optical character recognition (OCR) or similar technology). A format of the characters that are recognized in the image may be analyzed to determine additional information, such as whether the characters are a phone number, a uniform resource locator (URL), a name of a person, a name of a location, or the like. The analyzer may determine if the image includes a person, a landmark, an object, etc.