Adam B. Mathes - Mountain View CA, US Xuefu Wang - Los Altos CA, US Jeffrey Bartelma - San Francisco CA, US Gopal Venu Vemula - San Jose CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707755, 715205
Abstract:
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.
Adam B. Mathes - Mountain View CA, US Xuefu Wang - Sunnyvale CA, US Jeffrey Bartelma - San Francisco CA, US Gopal Venu Vemula - San Jose CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707707, 707737, 715201, 715205, 715209
Abstract:
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.
Recognizing Table Of Contents In An Image Sequence
Xuefu Wang - Sunnyvale CA, US Jeffrey Bartelma - San Francisco CA, US Adam B. Mathes - Mountain View CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/00 G06F 3/048
US Classification:
715200, 715205, 715251, 715255, 715776
Abstract:
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.
Identifying And Linking Similar Passages In A Digital Text Corpus
William N. Schilit - Menlo Park CA, US Okan Kolak - Mountain View CA, US Adam Mathes - Mountain View CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 7/00 G06F 17/30
US Classification:
707749
Abstract:
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.
Computerized System And Method For Automatic Highlight Detection From Live Streaming Media And Rendering Within A Specialized Media Player
- Dulles VA, US Kirk LIEB - Sunnyvale CA, US Rick HAWES - Sunnyvale CA, US Yale SONG - New York NY, US Benoit SCHILLINGS - Los Altos Hills CA, US Vahe OUGHOURLIAN - Sunnyvale CA, US Jordi VALLMITJANA - New York NY, US Jennelle NYSTROM - Sunnyvale CA, US Hardik RUPAREL - Sunnyvale CA, US Michael CHEN - Sunnyvale CA, US Adam MATHES - Sunnyvale CA, US Arunkumar BALASUBRAMANIAN - Sunnyvale CA, US Jian Zhou - Sunnyvale CA, US Matt Edelman - Sunnyvale CA, US
Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically analyze a live streaming media file, and identify portions of the media that are highlights. The content classified as a highlight can be shared across social media platforms, and indexed for searching respective to attributes of the video content. The streaming and highlight media content is renderable in a novel, modified video player that enables variable playback speeds for how content is classified, and enables on-demand selections of specific content portions and adjustable rendering displays during streaming.
Computerized System And Method For Automatic Highlight Detection From Live Streaming Media And Rendering Within A Specialized Media Player
- New York NY, US Kirk Lieb - Sunnyvale CA, US Rick Hawes - Sunnyvale CA, US Yale Song - New York NY, US Benoit Schillings - Los Altos Hills CA, US Vahe Oughourlian - Sunnyvale CA, US Jordi Vallmitjana - New York NY, US Jennelle Nystrom - Sunnyvale CA, US Hardik Ruparel - Sunnyvale CA, US Michael Chen - Sunnyvale CA, US Adam Mathes - Sunnyvale CA, US Arunkumar Balasubramanian - Sunnyvale CA, US Jian Zhou - Sunnyvale CA, US Matt Edelman - Sunnyvale CA, US
Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically analyze a live streaming media file, and identify portions of the media that are highlights. The content classified as a highlight can be shared across social media platforms, and indexed for searching respective to attributes of the video content. The streaming and highlight media content is renderable in a novel, modified video player that enables variable playback speeds for how content is classified, and enables on-demand selections of specific content portions and adjustable rendering displays during streaming.
- New York NY, US Adam Mathes - San Mateo CA, US Gregory Choi - Belmont CA, US Dongeun Lee - Santa Clara CA, US Luiz Fernando da Silva Pereira - Sunnyvale CA, US Yuhuan Tang - Santa Clara CA, US
International Classification:
H04N 5/232 H04N 21/2743
Abstract:
One or more systems and/or methods for capturing an image are provided. In an example, an application interface (e.g., a weather application interface), within which the image is to be populated, may be identified. The application interface may be evaluated to identify display context (e.g., a temperature label, weather visual effect, a weather icon, etc.) of the application interface. A camera user interface, associated with a camera of a device, may be displayed to a user. The display context may be overlaid a real-time image capture preview provided by the camera user interface so that the user may preview how the image may appear when used as a background image for the application interface (e.g., how a scene of a park may appear when the temperature label, weather icon, etc. are displayed over the background image). The image may be captured through the camera user interface utilizing the camera.
One or more computing devices, systems, and/or methods for emotional reaction sharing are provided. For example, a client device captures video of a user viewing content, such as a live stream video. Landmark points, corresponding to facial features of the user, are identified and provided to a user reaction distribution service that evaluates the landmark points to identify a facial expression of the user, such as a crying facial expression. The facial expression, such as landmark points that can be applied to a three-dimensional model of an avatar to recreate the facial expression, are provided to client devices of users viewing the content, such as a second client device. The second client device applies the landmark points of the facial expression to a bone structure mapping and a muscle movement mapping to create an expressive avatar having the facial expression for display to a second user.
Mermodynamics - Mountain View, CA since Jun 2010
Principal
Google Jun 2005 - Apr 2010
Product Manager
Consumating.com 2003 - 2005
Co-founder
KnowNow 2001 - 2001
Contractor
Education:
University of Illinois at Urbana-Champaign 2004 - 2005
MLS, Library and Information Science
Stanford University 1998 - 2002
BS, Computer Science
Skills:
Product Management Product Design Library Science Software Engineering Information Architecture Consumer Software Mobile Software Web Software User Experience
Honor & Awards:
Hazel C. Rediger Award, 2005 - http://www.lis.uiuc.edu/about/awards/mathes.html
2012 to 2012groundskeeper, I 2010 to 2012The Brown Hotel
2011 to 2011 Valet personPackage Handler 2007 to 2011
Education:
Silver Creek High School 2004 to 2005 High School DiplomaProsser School of Technology 2003 to 2005 Certificate in Building TradesCorydon High School 2001 to 2004