Gaurav Jain

Bio: Gaurav Jain is an academic researcher from Google. The author has contributed to research in topics: Identifier & Viewport. The author has an hindex of 4, co-authored 8 publications receiving 195 citations. Previous affiliations of Gaurav Jain include Indian Institutes of Technology.

System and method for selective processing of digital images

Abstract: A system and method for obtaining selected image information from a digital image and providing that selected image information for selective handling. In one aspect, the present invention automatically locates and segments an item identifier from an image caught by a digital camera and provides image information related to the item identifier for processing. Alternatively, a user can designate what areas of an image comprise the item identifier of interest for further viewing or processing.

Determining impressions for mobile devices

Abstract: Methods, systems and apparatus for determining impressions of advertisements placed on rendered web pages displayed in a viewport of a mobile device. An impression is determined to have occurred if a display of an advertisement in the viewport exceeds certain display thresholds so that the advertisement is likely to be discernible to a user of the device. These display thresholds can include, for example, the percentage of the advertisement displayed in the viewport of the device and the zoom level of the viewport (or scale of the viewport). The display thresholds can also include the duration with which the advertisement is displayed in the viewport.

Image Capture and Identification System and Process

Abstract: A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

Automatically providing content associated with captured information, such as information captured in real-time

Abstract: A system and method for automatically providing content associated with captured information is described. In some examples, the system receives input by a user, and automatically provides content or links to content associated with the input. In some examples, the system receives input via text entry or by capturing text from a rendered document, such as a printed document, an object, an audio stream, and so on.

Handheld device for capturing text from both a document printed on paper and a document displayed on a dynamic display device

Abstract: A device for capturing rendered text is described. The device incorporates one or more visual sensors that receive visual information as a part of capturing rendered text. The visual sensors are collectively capable of capturing both text that is permanently printed on a page, and text that is displayed transitorily on a dynamic device. The device further incorporates a visual information disposition subsystem for disposing of visual information received by the visual sensors. The device further incorporates a package that bears the visual sensors and the visual information disposition subsystem, and is suitable to be held in a human hand.

Data capture from rendered documents using handheld device

Abstract: A portable device having scanning, imaging or other data-capture capability is described. In some cases, the portable device can indicate to the user when enough information has been captured to uniquely identify a source document. In some cases, the portable device calculates timestamps and location-stamps indicating when and where a data capture occurred. In some cases, the portable device is controlled by gestures. In some cases, the portable scanning device has associated billing and content/service subscription information.

Adding value to a rendered document

Abstract: A system for processing data captured from rendered documents is described. The system provides a way for authors and publishers to add value to printed documents using associated supplemental material. The system can use text scanned from a document and context to identify an electronic document that corresponds to the scanned document. A user can then access supplemental material associated with the digital document.